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ORCIDKarthik Pattabiraman
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- affiliation: University of British Columbia, Vancouver, Canada
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2020 – today
- 2025
[j25]Mohammad Rafiuzzaman, Sathish Gopalakrishnan, Karthik Pattabiraman:
Co-Approximator: Enabling Performance Prediction in Colocated Applications. ACM Trans. Embed. Comput. Syst. 24(1): 6:1-6:28 (2025)- 2024
- [j24]Deval Shah
, Zi Yu Xue, Karthik Pattabiraman, Tor M. Aamodt:
Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots. ACM Trans. Cyber Phys. Syst. 8(3): 34:1-34:33 (2024) - [c141]Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman, Korbinian Hagn, Fabian Oboril, Cornelius Bürkle, Kay-Ulrich Scholl, Gereon Hinz, Alois Knoll:
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. AISafety@IJCAI 2024 - [c140]Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman:
Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks. AsiaCCS 2024 - [c139]Pritam Dash, Ethan Chan, Karthik Pattabiraman:
SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical Attacks. CCS 2024: 1849-1863 - [c138]Mohsen Salehi, Karthik Pattabiraman:
AutoPatch: Automated Generation of Hotpatches for Real-Time Embedded Devices. CCS 2024: 2370-2384 - [c137]Mohammed Elnawawy, Mohammadreza Hallajiyan, Gargi Mitra, Shahrear Iqbal, Karthik Pattabiraman:
Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems. CHASE 2024: 97-108 - [c136]Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
Harnessing Explainability to Improve ML Ensemble Resilience. DSN-S 2024: 33-37 - [c135]Karthik Pattabiraman, Abraham Chan:
Tutorial: LLTFI and the Art of Fault Injection. DSN-S 2024: 71-72 - [c134]Mohammadreza Hallajiyan, Athish Pranav Dharmalingam, Gargi Mitra, Homa Alemzadeh, Shahrear Iqbal, Karthik Pattabiraman:
SAM: Foreseeing Inference-Time False Data Injection Attacks on ML-enabled Medical Devices. HealthSec@CCS 2024: 77-84 - [c133]Kumseok Jung, Gargi Mitra, Sathish Gopalakrishnan, Karthik Pattabiraman:
ImmunoPlane: Middleware for Providing Adaptivity to Distributed Internet-of-Things Applications. IoTDI 2024: 13-24 - [c132]Kumseok Jung, Gargi Mitra, Sathish Gopalakrishnan, Karthik Pattabiraman:
Demo Abstract: ImmunoPlane - Middleware for Providing Adaptivity to Distributed Internet-of-Things Applications. IoTDI 2024: 227-228 - [c131]Zitao Chen, Karthik Pattabiraman:
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction. NDSS 2024 - [c130]Rui Xi, Zehua Wang, Karthik Pattabiraman:
POMABuster: Detecting Price Oracle Manipulation Attacks in Decentralized Finance. SP 2024: 3923-3942 - [i18]Mohammed Elnawawy, Mohammadreza Hallajiyan, Gargi Mitra, Shahrear Iqbal, Karthik Pattabiraman:
Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems. CoRR abs/2401.17136 (2024) - [i17]Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman, Korbinian Hagn, Fabian Oboril, Cornelius Bürkle, Kay-Ulrich Scholl, Gereon Hinz, Alois Knoll:
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. CoRR abs/2406.03229 (2024) - [i16]Zitao Chen, Karthik Pattabiraman:
A Method to Facilitate Membership Inference Attacks in Deep Learning Models. CoRR abs/2407.01919 (2024) - [i15]Pritam Dash, Ethan Chan, Karthik Pattabiraman:
SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical Attacks. CoRR abs/2408.15200 (2024) - [i14]Mohsen Salehi, Karthik Pattabiraman:
AutoPatch: Automated Generation of Hotpatches for Real-Time Embedded Devices. CoRR abs/2408.15372 (2024) - [i13]Zitao Chen, Karthik Pattabiraman:
Catch Me if You Can: Detecting Unauthorized Data Use in Deep Learning Models. CoRR abs/2409.06280 (2024) - 2023
- [j23]Alessio Netti, Yang Peng, Patrik Omland, Michael Paulitsch, Jorge Parra, Gustavo Espinosa, Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman:
Mixed precision support in HPC applications: What about reliability? J. Parallel Distributed Comput. 181: 104746 (2023) - [j22]Rui Xi, Karthik Pattabiraman:
A large-scale empirical study of low-level function use in Ethereum smart contracts and automated replacement. Softw. Pract. Exp. 53(3): 631-664 (2023) - [j21]Niranjhana Narayanan, Zitao Chen, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
Fault Injection for TensorFlow Applications. IEEE Trans. Dependable Secur. Comput. 20(4): 2677-2695 (2023) - [c129]Zitao Chen, Pritam Dash, Karthik Pattabiraman:
Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks. AsiaCCS 2023: 689-703 - [c128]Pritam Dash, Karthik Pattabiraman:
Beyond Detection: Securing Robotic Vehicles. DSN-S 2023: 209-210 - [c127]Udit Kumar Agarwal, Abraham Chan, Ali Asgari Khoshouyeh, Karthik Pattabiraman:
Towards Reliability Assessment of Systolic Arrays against Stuck-at Faults. DSN-S 2023: 230-236 - [c126]Yingao Elaine Yao, Pritam Dash, Karthik Pattabiraman:
SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms. DSN 2023: 366-375 - [c125]Amirhossein Ahmadi, Hazem A. Abdelhafez, Shashwat Jaiswal, Karthik Pattabiraman, Matei Ripeanu:
Hot Under the Hood: An Analysis of Ambient Temperature Impact on Heterogeneous Edge Platforms. EdgeSys@EuroSys 2023: 25-30 - [c124]Asem Ghaleb, Julia Rubin, Karthik Pattabiraman:
AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities. ICSE 2023: 945-956 - [c123]Amirhossein Ahmadi, Hazem A. Abdelhafez, Karthik Pattabiraman, Matei Ripeanu:
EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference. SEC 2023: 67-79 - [c122]Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
Evaluating the Effect of Common Annotation Faults on Object Detection Techniques. ISSRE 2023: 474-485 - [c121]Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman:
Resilience Assessment of Large Language Models under Transient Hardware Faults. ISSRE 2023: 659-670 - [c120]Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman:
A Low-Cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks. SAFECOMP 2023: 75-88 - [c119]Ali Asgari Khoshouyeh, Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Prashant J. Nair, Karthik Pattabiraman:
Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults. SC 2023: 85:1-85:17 - [i12]Zitao Chen, Karthik Pattabiraman:
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction. CoRR abs/2307.01610 (2023) - [i11]Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman:
A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks. CoRR abs/2310.20349 (2023) - [i10]Gargi Mitra, Pritam Dash, Yingao Elaine Yao, Aastha Mehta, Karthik Pattabiraman:
ICS-Sniper: A Targeted Blackhole Attack on Encrypted ICS Traffic. CoRR abs/2312.06140 (2023) - [i9]Stefan Winter, Abraham Chan, Habib Saissi, Karthik Pattabiraman, Neeraj Suri:
Error Propagation Analysis for Multithreaded Programs: An Empirical Approach. CoRR abs/2312.16791 (2023) - 2022
- [j20]Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman:
Improving the Accuracy of IR-Level Fault Injection. IEEE Trans. Dependable Secur. Comput. 19(1): 243-258 (2022) - [j19]Behrooz Sangchoolie, Karthik Pattabiraman, Johan Karlsson:
An Empirical Study of the Impact of Single and Multiple Bit-Flip Errors in Programs. IEEE Trans. Dependable Secur. Comput. 19(3): 1988-2006 (2022) - [c118]Mohsen Salehi, Karthik Pattabiraman:
Poster AutoPatch: Automatic Hotpatching of Real-Time Embedded Devices. CCS 2022: 3451-3453 - [c117]Yingao Elaine Yao, Pritam Dash, Karthik Pattabiraman:
Poster: May the Swarm Be With You: Sensor Spoofing Attacks Against Drone Swarms. CCS 2022: 3511-3513 - [c116]Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
Towards Building Resilient Ensembles against Training Data Faults. DSN Workshops 2022: 68-69 - [c115]Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
The Fault in Our Data Stars: Studying Mitigation Techniques against Faulty Training Data in Machine Learning Applications. DSN 2022: 163-171 - [c114]Hazem A. Abdelhafez, Hassan Halawa, Amr Almoallim, Amirhossein Ahmadi, Karthik Pattabiraman, Matei Ripeanu:
Characterizing Variability in Heterogeneous Edge Systems: A Methodology & Case Study. SEC 2022: 107-121 - [c113]Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman:
Poster: EdgeShell - A language for composing edge applications. SEC 2022: 302-304 - [c112]Mohammad Rafiuzzaman, Sathish Gopalakrishnan, Karthik Pattabiraman:
$\pi$-Configurator: Enabling Efficient Configuration of Pipelined Applications on the Edge. IoTDI 2022: 156-169 - [c111]Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman:
LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track). ISSRE 2022: 286-296 - [c110]Asem Ghaleb, Julia Rubin, Karthik Pattabiraman:
eTainter: detecting gas-related vulnerabilities in smart contracts. ISSTA 2022: 728-739 - [c109]Rui Xi, Karthik Pattabiraman:
When They Go Low: Automated Replacement of Low-level Functions in Ethereum Smart Contracts. SANER 2022: 995-1005 - [i8]Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman:
Replay-based Recovery for Autonomous Robotic Vehicles from Sensor Deception Attacks. CoRR abs/2209.04554 (2022) - 2021
- [j18]Pritam Dash, Mehdi Karimibiuki, Karthik Pattabiraman:
Stealthy Attacks against Robotic Vehicles Protected by Control-based Intrusion Detection Techniques. DTRAP 2(1): 7:1-7:25 (2021) - [j17]Kumseok Jung, Julien Gascon-Samson, Shivanshu Goyal, Armin Rezaiean-Asel, Karthik Pattabiraman:
ThingsMigrate: Platform-independent migration of stateful JavaScript Internet of Things applications. Softw. Pract. Exp. 51(1): 117-155 (2021) - [c108]Zitao Chen, Guanpeng Li, Karthik Pattabiraman:
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction. DSN 2021: 1-13 - [c107]Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, Karthik Pattabiraman:
PID-Piper: Recovering Robotic Vehicles from Physical Attacks. DSN 2021: 26-38 - [c106]Hui Xu, Guanpeng Li, Homa Alemzadeh, Rakesh Bobba, Varun Chandrasekaran, David E. Evans, Nicolas Papernot, Karthik Pattabiraman, Florian Tramèr:
Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021. DSN Workshops 2021: xvi - [c105]Hazem A. Abdelhafez, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu:
Snowflakes at the Edge: A Study of Variability among NVIDIA Jetson AGX Xavier Boards. EdgeSys@EuroSys 2021: 1-6 - [c104]Niranjhana Narayanan, Karthik Pattabiraman:
TF-DM: Tool for Studying ML Model Resilience to Data Faults. DeepTest@ICSE 2021: 25-28 - [c103]Hassan Halawa, Hazem A. Abdelhafez, Mohamed Osama Ahmed, Karthik Pattabiraman, Matei Ripeanu:
MIRAGE: Machine Learning-based Modeling of Identical Replicas of the Jetson AGX Embedded Platform. SEC 2021: 26-40 - [c102]Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman:
OneOS: Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines. SEC 2021: 242-256 - [c101]Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman:
Demo: OneOS - Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines. SEC 2021: 470-472 - [c100]Florian Geissler, Syed Sha Qutub, Sayanta Roychowdhury, Ali Asgari Khoshouyeh, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman, Michael Paulitsch:
Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision. AISafety@IJCAI 2021 - [c99]Abraham Chan, Udit Kumar Agarwal, Karthik Pattabiraman:
(WiP) LLTFI: Low-Level Tensor Fault Injector. ISSRE Workshops 2021: 64-68 - [c98]Mehdi Karimibiuki, Karthik Pattabiraman, André Ivanov:
Are you for Real? Authentication in Dynamic IoT Systems. PRDC 2021: 143-152 - [c97]Abraham Chan, Niranjhana Narayanan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan:
Understanding the Resilience of Neural Network Ensembles against Faulty Training Data. QRS 2021: 1100-1111 - [i7]Aarti Kashyap, Syed Mubashir Iqbal, Karthik Pattabiraman, Margo I. Seltzer:
ReLUSyn: Synthesizing Stealthy Attacks for Deep Neural Network Based Cyber-Physical Systems. CoRR abs/2105.10393 (2021) - [i6]Zitao Chen, Pritam Dash, Karthik Pattabiraman:
Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack. CoRR abs/2108.05075 (2021) - [i5]Florian Geissler, Syed Sha Qutub, Sayanta Roychowdhury, Ali Asgari Khoshouyeh, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman, Michael Paulitsch:
Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision. CoRR abs/2108.07019 (2021) - [i4]Deval Shah, Zi Yu Xue, Karthik Pattabiraman, Tor M. Aamodt:
Characterizing and Improving the Resilience of Accelerators in Autonomous Robots. CoRR abs/2110.08906 (2021) - 2020
- [c96]Habib Saissi, Stefan Winter, Oliver Schwahn, Karthik Pattabiraman, Neeraj Suri:
TraceSanitizer - Eliminating the Effects of Non-Determinism on Error Propagation Analysis. DSN 2020: 52-63 - [c95]Homa Alemzadeh, Rakesh Bobba, Varun Chandrasekaran, David E. Evans, Nicolas Papernot, Karthik Pattabiraman, Florian Tramèr:
Third International Workshop on Dependable and Secure Machine Learning - DSML 2020. DSN Workshops 2020: x - [c94]Karthik Pattabiraman, Guanpeng Li, Zitao Chen:
Error Resilient Machine Learning for Safety-Critical Systems: Position Paper. IOLTS 2020: 1-4 - [c93]Yong Yang, Yifan Wu, Karthik Pattabiraman, Long Wang, Ying Li:
How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method. ISSRE 2020: 59-69 - [c92]Arpan Gujarati, Sathish Gopalakrishnan, Karthik Pattabiraman:
New Wine in an Old Bottle: N-Version Programming for Machine Learning Components. ISSRE Workshops 2020: 283-286 - [c91]Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. ISSRE 2020: 426-435 - [c90]Asem Ghaleb, Karthik Pattabiraman:
How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection. ISSTA 2020: 415-427 - [c89]Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael B. Sullivan, Timothy Tsai, Siva Kumar Sastry Hari:
GPU-trident: efficient modeling of error propagation in GPU programs. SC 2020: 88 - [i3]Zitao Chen, Guanpeng Li, Karthik Pattabiraman:
Ranger: Boosting Error Resilience of Deep Neural Networks through Range Restriction. CoRR abs/2003.13874 (2020) - [i2]Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. CoRR abs/2004.01743 (2020) - [i1]Asem Ghaleb, Karthik Pattabiraman:
How Effective are Smart Contract Analysis Tools? Evaluating Smart Contract Static Analysis Tools Using Bug Injection. CoRR abs/2005.11613 (2020)
2010 – 2019
- 2019
- [j16]Farid Molazem Tabrizi, Karthik Pattabiraman:
Design-Level and Code-Level Security Analysis of IoT Devices. ACM Trans. Embed. Comput. Syst. 18(3): 20:1-20:25 (2019) - [c88]Pritam Dash, Mehdi Karimibiuki, Karthik Pattabiraman:
Out of control: stealthy attacks against robotic vehicles protected by control-based techniques. ACSAC 2019: 660-672 - [c87]Bo Fang, Jieyang Chen, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy:
Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications. DSN (Supplements) 2019: 13-14 - [c86]Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman:
OneOS: IoT Platform based on POSIX and Actors. HotEdge 2019 - [c85]Bo Fang, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy:
BonVoision: leveraging spatial data smoothness for recovery from memory soft errors. ICS 2019: 484-496 - [c84]Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman:
A Tale of Two Injectors: End-to-End Comparison of IR-Level and Assembly-Level Fault Injection. ISSRE 2019: 151-162 - [c83]Mohammad Rafiuzzaman, Julien Gascon-Samson, Karthik Pattabiraman, Sathish Gopalakrishnan:
Failure prediction in the internet of things due to memory exhaustion. SAC 2019: 292-301 - [c82]Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
BinFI: an efficient fault injector for safety-critical machine learning systems. SC 2019: 69:1-69:23 - 2018
- [j15]Domenico Cotroneo, Karthik Pattabiraman, Antonio Pecchia:
Guest Editors' Introduction: Special Issue on Data-Driven Dependability and Security. IEEE Trans. Dependable Secur. Comput. 15(6): 913-914 (2018) - [c81]Ekta Aggarwal, Mehdi Karimibiuki, Karthik Pattabiraman, André Ivanov:
CORGIDS: A Correlation-based Generic Intrusion Detection System. CPS-SPC@CCS 2018: 24-35 - [c80]Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai:
Modeling Soft-Error Propagation in Programs. DSN 2018: 27-38 - [c79]Homa Alemzadeh, Karthik Pattabiraman, David E. Evans:
DSML 2018 Introduction. DSN Workshops 2018: 187 - [c78]Guanpeng Li, Karthik Pattabiraman:
Modeling Input-Dependent Error Propagation in Programs. DSN 2018: 279-290 - [c77]Julien Gascon-Samson, Kumseok Jung, Shivanshu Goyal, Armin Rezaiean-Asel, Karthik Pattabiraman:
ThingsMigrate: Platform-Independent Migration of Stateful JavaScript IoT Applications. ECOOP 2018: 18:1-18:33 - [c76]Julien Gascon-Samson, Kumseok Jung, Karthik Pattabiraman:
Poster: Towards a Distributed and Self-Adaptable Cloud-Edge Middleware. SEC 2018: 338-340 - [c75]Kumseok Jung, Julien Gascon-Samson, Karthik Pattabiraman:
Demo: ThingsMigrate - Platform-Independent Live-Migration of JavaScript Processes. SEC 2018: 356-358 - [c74]Saba Alimadadi, Ali Mesbah, Karthik Pattabiraman:
Inferring hierarchical motifs from execution traces. ICSE 2018: 776-787 - [c73]Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben:
TensorFI: A Configurable Fault Injector for TensorFlow Applications. ISSRE Workshops 2018: 313-320 - [c72]Mehdi Karimibiuki, Ekta Aggarwal, Karthik Pattabiraman, André Ivanov:
DynPolAC: Dynamic Policy-Based Access Control for IoT Systems. PRDC 2018: 161-170 - 2017
- [j14]Qining Lu, Guanpeng Li, Karthik Pattabiraman, Meeta Sharma Gupta, Jude A. Rivers:
Configurable Detection of SDC-causing Errors in Programs. ACM Trans. Embed. Comput. Syst. 16(3): 88:1-88:25 (2017) - [j13]Frolin S. Ocariza Jr., Kartik Bajaj, Karthik Pattabiraman, Ali Mesbah:
A Study of Causes and Consequences of Client-Side JavaScript Bugs. IEEE Trans. Software Eng. 43(2): 128-144 (2017) - [c71]Behrooz Sangchoolie, Karthik Pattabiraman, Johan Karlsson:
One Bit is (Not) Enough: An Empirical Study of the Impact of Single and Multiple Bit-Flip Errors. DSN 2017: 97-108 - [c70]Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu:
LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures. HPDC 2017: 117-130 - [c69]Abraham Chan, Stefan Winter, Habib Saissi, Karthik Pattabiraman, Neeraj Suri:
IPA: Error Propagation Analysis of Multi-Threaded Programs Using Likely Invariants. ICST 2017: 184-195 - [c68]Frolin S. Ocariza Jr., Karthik Pattabiraman, Ali Mesbah:
Detecting unknown inconsistencies in web applications. ASE 2017: 566-577 - [c67]Julien Gascon-Samson, Mohammad Rafiuzzaman, Karthik Pattabiraman:
ThingsJS: towards a flexible and self-adaptable middleware for dynamic and heterogeneous IoT environments. M4IoT@Middleware 2017: 11-16 - [c66]Julien Gascon-Samson, Mohammad Rafiuzzaman, Karthik Pattabiraman:
SmartJS: dynamic and self-adaptable runtime middleware for next-generation IoT systems. SPLASH (Companion Volume) 2017: 51-52 - [c65]Guanpeng Li, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel S. Emer, Stephen W. Keckler:
Understanding error propagation in deep learning neural network (DNN) accelerators and applications. SC 2017: 8 - [c64]Maryam Raiyat Aliabadi, Amita Ajith Kamath, Julien Gascon-Samson, Karthik Pattabiraman:
ARTINALI: dynamic invariant detection for cyber-physical system security. ESEC/SIGSOFT FSE 2017: 349-361 - 2016
- [j12]Frolin S. Ocariza Jr., Guanpeng Li, Karthik Pattabiraman, Ali Mesbah:
Automatic fault localization for client-side JavaScript. Softw. Test. Verification Reliab. 26(1): 69-88 (2016) - [j11]Anna Thomas, Karthik Pattabiraman:
Error Detector Placement for Soft Computing Applications. ACM Trans. Embed. Comput. Syst. 15(1): 8:1-8:25 (2016) - [j10]Saba Alimadadi, Sheldon Sequeira, Ali Mesbah, Karthik Pattabiraman:
Understanding JavaScript Event-Based Interactions with Clematis. ACM Trans. Softw. Eng. Methodol. 25(2): 12:1-12:38 (2016) - [j9]Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi:
A Systematic Methodology for Evaluating the Error Resilience of GPGPU Applications. IEEE Trans. Parallel Distributed Syst. 27(12): 3397-3411 (2016) - [c63]Farid Molazem Tabrizi, Karthik Pattabiraman:
Formal security analysis of smart embedded systems. ACSAC 2016: 1-15 - [c62]Bo Fang, Panruo Wu, Qiang Guan, Nathan DeBardeleben, Laura Monroe, Sean Blanchard, Zhizong Chen, Karthik Pattabiraman, Matei Ripeanu:
SDC is in the Eye of the Beholder: A Survey and Preliminary Study. DSN Workshops 2016: 72-76 - [c61]Bo Fang, Qining Lu, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi:
ePVF: An Enhanced Program Vulnerability Factor Methodology for Cross-Layer Resilience Analysis. DSN 2016: 168-179 - [c60]Nithya Narayanamurthy, Karthik Pattabiraman, Matei Ripeanu:
Finding Resilience-Friendly Compiler Optimizations Using Meta-Heuristic Search Techniques. EDCC 2016: 1-12 - [c59]Saba Alimadadi, Ali Mesbah, Karthik Pattabiraman:
Understanding asynchronous interactions in full-stack JavaScript. ICSE 2016: 1169-1180 - [c58]Shabnam Mirshokraie, Ali Mesbah, Karthik Pattabiraman:
Atrina: Inferring Unit Oracles from GUI Test Cases. ICST 2016: 330-340 - [c57]Maryam Raiyat Aliabadi, Karthik Pattabiraman:
FIDL: A Fault Injection Description Language for Compiler-Based SFI Tools. SAFECOMP 2016: 12-23 - [c56]Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose:
Understanding error propagation in GPGPU applications. SC 2016: 240-251 - 2015
- [j8]Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan:
Characterizing the Impact of Intermittent Hardware Faults on Programs. IEEE Trans. Reliab. 64(1): 297-310 (2015) - [j7]Shabnam Mirshokraie, Ali Mesbah, Karthik Pattabiraman:
Guided Mutation Testing for JavaScript Web Applications. IEEE Trans. Software Eng. 41(5): 429-444 (2015) - [c55]Guanpeng Li, Qining Lu, Karthik Pattabiraman:
Fine-Grained Characterization of Faults Causing Long Latency Crashes in Programs. DSN 2015: 450-461 - [c54]Saba Alimadadi, Ali Mesbah, Karthik Pattabiraman:
Hybrid DOM-Sensitive Change Impact Analysis for JavaScript. ECOOP 2015: 321-345 - [c53]Farid Molazem Tabrizi, Karthik Pattabiraman:
Flexible Intrusion Detection Systems for Memory-Constrained Embedded Systems. EDCC 2015: 1-12 - [c52]Frolin S. Ocariza Jr., Karthik Pattabiraman, Ali Mesbah:
Detecting Inconsistencies in JavaScript MVC Applications. ICSE (1) 2015: 325-335 - [c51]Shabnam Mirshokraie, Ali Mesbah, Karthik Pattabiraman:
JSEFT: Automated Javascript Unit Test Generation. ICST 2015: 1-10 - [c50]Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose:
Experience report: An application-specific checkpointing technique for minimizing checkpoint corruption. ISSRE 2015: 141-152 - [c49]Kartik Bajaj, Karthik Pattabiraman, Ali Mesbah:
Synthesizing Web Element Locators (T). ASE 2015: 331-341 - [c48]Kartik Bajaj, Karthik Pattabiraman, Ali Mesbah:
LED: Tool for Synthesizing Web Element Locators. ASE 2015: 848-851 - [c47]Farid Molazem Tabrizi, Karthik Pattabiraman:
Intrusion Detection System for Embedded Systems. Middleware Doctoral Symposium 2015: 9:1-9:4 - [c46]Qining Lu, Mostafa Farahani, Jiesheng Wei, Anna Thomas, Karthik Pattabiraman:
LLFI: An Intermediate Code-Level Fault Injection Tool for Hardware Faults. QRS 2015: 11-16 - [e1]André Ivanov, Diana Marculescu, Partha Pratim Pande, José Flich, Karthik Pattabiraman:
Proceedings of the 9th International Symposium on Networks-on-Chip, NOCS 2015, Vancouver, BC, Canada, September 28-30, 2015. ACM 2015, ISBN 978-1-4503-3396-2 [contents] - 2014
- [j6]Cole Schlesinger, Karthik Pattabiraman, Nikhil Swamy, David Walker, Benjamin G. Zorn:
Modular protections against non-control data attacks. J. Comput. Secur. 22(5): 699-742 (2014) - [c45]Qining Lu, Karthik Pattabiraman, Meeta Sharma Gupta, Jude A. Rivers:
SDCTune: A model for predicting the SDC proneness of an application for configurable protection. CASES 2014: 23:1-23:10 - [c44]Leonardo Arturo Bautista-Gomez, Franck Cappello, Luigi Carro, Nathan DeBardeleben, Bo Fang, Sudhanva Gurumurthi, Karthik Pattabiraman, Paolo Rech, Matteo Sonza Reorda:
GPGPUs: How to combine high computational power with high reliability. DATE 2014: 1-9 - [c43]Majid Dadashi, Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan:
Hardware-Software Integrated Diagnosis for Intermittent Hardware Faults. DSN 2014: 363-374 - [c42]Jiesheng Wei, Anna Thomas, Guanpeng Li, Karthik Pattabiraman:
Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults. DSN 2014: 375-382 - [c41]Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi:
Evaluating the Error Resilience of Parallel Programs. DSN 2014: 720-725 - [c40]Farid Molazem Tabrizi, Karthik Pattabiraman:
A Model-Based Intrusion Detection System for Smart Meters. HASE 2014: 17-24 - [c39]Saba Alimadadi, Sheldon Sequeira, Ali Mesbah, Karthik Pattabiraman:
Understanding JavaScript event-based interactions. ICSE 2014: 367-377 - [c38]Frolin S. Ocariza Jr., Karthik Pattabiraman, Ali Mesbah:
Vejovis: suggesting fixes for JavaScript faults. ICSE 2014: 837-847 - [c37]Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi:
GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications. ISPASS 2014: 221-230 - [c36]Maryam Raiyat Aliabadi, Karthik Pattabiraman, Nematollah Bidokhti:
Soft-LLFI: A Comprehensive Framework for Software Fault Injection. ISSRE Workshops 2014: 1-5 - [c35]Xin Chen, Charng-Da Lu, Karthik Pattabiraman:
Failure Analysis of Jobs in Compute Clouds: A Google Cluster Case Study. ISSRE 2014: 167-177 - [c34]Xin Chen, Charng-Da Lu, Karthik Pattabiraman:
Failure Prediction of Jobs in Compute Clouds: A Google Cluster Case Study. ISSRE Workshops 2014: 341-346 - [c33]Kartik Bajaj, Karthik Pattabiraman, Ali Mesbah:
Dompletion: DOM-aware JavaScript code completion. ASE 2014: 43-54 - [c32]Kartik Bajaj, Karthik Pattabiraman, Ali Mesbah:
Mining questions asked by web developers. MSR 2014: 112-121 - 2013
- [j5]Karthik Pattabiraman, Nithin Nakka, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
SymPLFIED: Symbolic Program-Level Fault Injection and Error Detection Framework. IEEE Trans. Computers 62(11): 2292-2307 (2013) - [c31]Xin Chen, Charng-Da Lu, Karthik Pattabiraman:
Predicting job completion times using system logs in supercomputing clusters. DSN Workshops 2013: 1-8 - [c30]Anna Thomas, Karthik Pattabiraman:
Error detector placement for soft computation. DSN 2013: 1-12 - [c29]Frolin S. Ocariza Jr., Kartik Bajaj, Karthik Pattabiraman, Ali Mesbah:
An Empirical Study of Client-Side JavaScript Bugs. ESEM 2013: 55-64 - [c28]Shabnam Mirshokraie, Ali Mesbah, Karthik Pattabiraman:
Efficient JavaScript Mutation Testing. ICST 2013: 74-83 - [c27]Shabnam Mirshokraie, Ali Mesbah, Karthik Pattabiraman:
PYTHIA: Generating test cases with oracles for JavaScript applications. ASE 2013: 610-615 - 2012
- [j4]Paruj Ratanaworabhan, Martin Burtscher, Darko Kirovski, Benjamin G. Zorn, Rahul Nagpal, Karthik Pattabiraman:
Efficient Runtime Detection and Toleration of Asymmetric Races. IEEE Trans. Computers 61(4): 548-562 (2012) - [c26]Farid Molazem Tabrizi, Karthik Pattabiraman:
A model for security analysis of smart meters. DSN Workshops 2012: 1-6 - [c25]Jiesheng Wei, Karthik Pattabiraman:
BLOCKWATCH: Leveraging similarity in parallel programs for error detection. DSN 2012: 1-12 - [c24]Frolin S. Ocariza Jr., Karthik Pattabiraman, Ali Mesbah:
AutoFLox: An Automatic Fault Localizer for Client-Side JavaScript. ICST 2012: 31-40 - [c23]Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan:
Intermittent Hardware Errors Recovery: Modeling and Evaluation. QEST 2012: 220-229 - [c22]Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu:
Abstract: Evaluating Error Resiliency of GPGPU Applications. SC Companion 2012: 1502-1503 - [c21]Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu:
Poster: Evaluating Error Resiliency of GPGPU Applications. SC Companion 2012: 1504 - 2011
- [j3]Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Automated Derivation of Application-Aware Error Detectors Using Static Analysis: The Trusted Illiac Approach. IEEE Trans. Dependable Secur. Comput. 8(1): 44-57 (2011) - [j2]Karthik Pattabiraman, Giacinto Paolo Saggese, Daniel Chen, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Automated Derivation of Application-Specific Error Detectors Using Dynamic Analysis. IEEE Trans. Dependable Secur. Comput. 8(5): 640-655 (2011) - [c20]Song Liu, Karthik Pattabiraman, Thomas Moscibroda, Benjamin G. Zorn:
Flikker: saving DRAM refresh-power through critical data partitioning. ASPLOS 2011: 213-224 - [c19]Cole Schlesinger, Karthik Pattabiraman, Nikhil Swamy, David Walker, Benjamin G. Zorn:
Modular Protections against Non-control Data Attacks. CSF 2011: 131-145 - [c18]Jiesheng Wei, Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan:
Comparing the effects of intermittent and transient hardware faults on programs. DSN Workshops 2011: 53-58 - [c17]Frolin S. Ocariza Jr., Karthik Pattabiraman, Benjamin G. Zorn:
JavaScript Errors in the Wild: An Empirical Study. ISSRE 2011: 100-109 - 2010
- [c16]Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan:
Towards understanding the effects of intermittent hardware faults on programs. DSN Workshops 2010: 101-106 - [c15]Karthik Pattabiraman, Benjamin G. Zorn:
DoDOM: Leveraging DOM Invariants for Web 2.0 Application Robustness Testing. ISSRE 2010: 191-200 - [c14]Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan:
Modeling the Propagation of Intermittent Hardware Faults in Programs. PRDC 2010: 19-26
2000 – 2009
- 2009
- [b1]Karthik Pattabiraman:
Automated Derivation of Application-Aware Error and Attack Detectors. University of Illinois Urbana-Champaign, USA, 2009 - [c13]Galen Lyle, Shelley Cheny, Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
An end-to-end approach for the automatic derivation of application-aware error detectors. DSN 2009: 584-589 - [c12]Karthik Pattabiraman, Zbigniew Kalbarczyk:
Second workshop on Compiler and Architectural Techniques for Application Reliability and Security (CATARS). DSN 2009: 592-593 - [c11]Paruj Ratanaworabhan, Martin Burtscher, Darko Kirovski, Benjamin G. Zorn, Rahul Nagpal, Karthik Pattabiraman:
Detecting and tolerating asymmetric races. PPoPP 2009: 173-184 - [c10]Karthik Pattabiraman, Nithin Nakka, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Discovering Application-Level Insider Attacks Using Symbolic Execution. SEC 2009: 63-75 - 2008
- [c9]Karthik Pattabiraman, Nithin Nakka, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
SymPLFIED: Symbolic program-level fault injection and error detection framework. DSN 2008: 472-481 - [c8]Karthik Pattabiraman, Shuo Chen, Zbigniew Kalbarczyk:
Workshop on compiler and architectural techniques for application reliability and security (CATARS). DSN 2008: 544-545 - [c7]Karthik Pattabiraman, Vinod Grover, Benjamin G. Zorn:
Samurai: protecting critical data in unsafe languages. EuroSys 2008: 219-232 - 2007
- [j1]Ravishankar K. Iyer, Zbigniew Kalbarczyk, Karthik Pattabiraman, William Healey, Wen-mei W. Hwu, Peter Klemperer, Reza Farivar:
Toward Application-Aware Security and Reliability. IEEE Secur. Priv. 5(1): 57-62 (2007) - [c6]Nithin Nakka, Karthik Pattabiraman, Ravishankar K. Iyer:
Processor-Level Selective Replication. DSN 2007: 544-553 - [c5]Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Automated Derivation of Application-aware Error Detectors using Static Analysis. IOLTS 2007: 211-216 - 2006
- [c4]Karthik Pattabiraman, Giacinto Paolo Saggese, Daniel Chen, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Dynamic Derivation of Application-Specific Error Detectors and their Implementation in Hardware. EDCC 2006: 97-108 - 2005
- [c3]Long Wang, Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Lawrence G. Votta, Christopher A. Vick, Alan Wood:
Modeling Coordinated Checkpointing for Large-Scale Supercomputers. DSN 2005: 812-821 - [c2]Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Application-Based Metrics for Strategic Placement of Detectors. PRDC 2005: 75-82 - 2004
- [c1]Shuo Chen, Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Formal Reasoning of Various Categories of Widely Exploited Security Vulnerabilities by Pointer Taintedness Semantics. SEC 2004: 83-100
Coauthor Index
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