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ORCIDZifan Wang 0001
Person information
- affiliation: Carnegie Mellon University, PA, USA
Other persons with the same name
- Zifan Wang — disambiguation page
- Zifan Wang 0002 — KTH Royal Institute of Technology, Stockholm, Sweden
- Zifan Wang 0003 — Arizona State University, AZ, USA (and 1 more)
Other persons with a similar name
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2020 – today
- 2024
[c17]Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson:
A Recipe for Improved Certifiable Robustness. ICLR 2024- [c16]Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks:
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning. ICML 2024 - [c15]Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks:
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. ICML 2024 - [c14]Chi Zhang, Zifan Wang, Ruoshi Zhao, Ravi Mangal, Matt Fredrikson, Limin Jia, Corina S. Pasareanu:
Attacks and Defenses for Large Language Models on Coding Tasks. ASE 2024: 2268-2272 - [i25]Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David A. Forsyth, Dan Hendrycks:
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal. CoRR abs/2402.04249 (2024) - [i24]Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen
, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks:
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. CoRR abs/2403.03218 (2024) - [i23]Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal:
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices. CoRR abs/2406.00586 (2024) - [i22]Weiran Lin, Anna Gerchanovsky, Omer Akgul, Lujo Bauer, Matt Fredrikson, Zifan Wang:
Sales Whisperer: A Human-Inconspicuous Attack on LLM Brand Recommendations. CoRR abs/2406.04755 (2024) - [i21]Nils Palumbo, Ravi Mangal, Zifan Wang, Saranya Vijayakumar, Corina S. Pasareanu, Somesh Jha:
Mechanistically Interpreting a Transformer-based 2-SAT Solver: An Axiomatic Approach. CoRR abs/2407.13594 (2024) - [i20]Nathaniel Li, Ziwen Han, Ian Steneker, Willow Primack, Riley Goodside, Hugh Zhang, Zifan Wang, Cristina Menghini, Summer Yue:
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet. CoRR abs/2408.15221 (2024) - [i19]Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Scale Red Team, Elaine Chang, Vaughn Robinson, Sean Hendryx, Shuyan Zhou, Matt Fredrikson, Summer Yue, Zifan Wang:
Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents. CoRR abs/2410.13886 (2024) - 2023
- [c13]Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut:
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization. CVPR 2023: 16458-16468 - [c12]Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson:
On the Perils of Cascading Robust Classifiers. ICLR 2023 - [c11]Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson:
Unlocking Deterministic Robustness Certification on ImageNet. NeurIPS 2023 - [c10]Zifan Wang, Saranya Vijayakumar, Kaiji Lu, Vijay Ganesh, Somesh Jha, Matt Fredrikson:
Grounding Neural Inference with Satisfiability Modulo Theories. NeurIPS 2023 - [i18]Matt Fredrikson, Kaiji Lu, Saranya Vijayakumar, Somesh Jha, Vijay Ganesh, Zifan Wang:
Learning Modulo Theories. CoRR abs/2301.11435 (2023) - [i17]Kai Hu, Andy Zou, Zifan Wang, Klas Leino, Matt Fredrikson:
Scaling in Depth: Unlocking Robustness Certification on ImageNet. CoRR abs/2301.12549 (2023) - [i16]Andy Zou, Zifan Wang, J. Zico Kolter, Matt Fredrikson:
Universal and Transferable Adversarial Attacks on Aligned Language Models. CoRR abs/2307.15043 (2023) - [i15]Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks:
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR abs/2310.01405 (2023) - [i14]Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson:
A Recipe for Improved Certifiable Robustness: Capacity and Data. CoRR abs/2310.02513 (2023) - [i13]Ravi Mangal, Klas Leino, Zifan Wang, Kai Hu, Weicheng Yu, Corina S. Pasareanu, Anupam Datta, Matt Fredrikson:
Is Certifying 𝓁p Robustness Still Worthwhile? CoRR abs/2310.09361 (2023) - [i12]Norman Mu, Sarah Chen, Zifan Wang, Sizhe Chen, David Karamardian, Lulwa Aljeraisy, Dan Hendrycks, David A. Wagner:
Can LLMs Follow Simple Rules? CoRR abs/2311.04235 (2023) - [i11]Chi Zhang, Zifan Wang, Ravi Mangal, Matt Fredrikson, Limin Jia, Corina S. Pasareanu:
Transfer Attacks and Defenses for Large Language Models on Coding Tasks. CoRR abs/2311.13445 (2023) - 2022
- [c9]Emily Black, Zifan Wang, Matt Fredrikson:
Consistent Counterfactuals for Deep Models. ICLR 2022 - [c8]Zifan Wang, Matt Fredrikson, Anupam Datta:
Robust Models Are More Interpretable Because Attributions Look Normal. ICML 2022: 22625-22651 - [i10]Zifan Wang, Yuhang Yao, Chaoran Zhang, Han Zhang, Youjie Kang, Carlee Joe-Wong, Matt Fredrikson, Anupam Datta:
Faithful Explanations for Deep Graph Models. CoRR abs/2205.11850 (2022) - [i9]Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson:
On the Perils of Cascading Robust Classifiers. CoRR abs/2206.00278 (2022) - [i8]Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut:
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization. CoRR abs/2211.12624 (2022) - 2021
- [c7]Klas Leino, Zifan Wang, Matt Fredrikson:
Globally-Robust Neural Networks. ICML 2021: 6212-6222 - [c6]Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang:
Machine Learning Explainability and Robustness: Connected at the Hip. KDD 2021: 4035-4036 - [c5]Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Ricardo Shih, Zifan Wang:
Exploring Conceptual Soundness with TruLens. NeurIPS (Competition and Demos) 2021: 302-307 - [c4]Kaiji Lu, Zifan Wang, Piotr Mardziel, Anupam Datta:
Influence Patterns for Explaining Information Flow in BERT. NeurIPS 2021: 4461-4474 - [i7]Klas Leino, Zifan Wang, Matt Fredrikson:
Globally-Robust Neural Networks. CoRR abs/2102.08452 (2021) - [i6]Zifan Wang, Matt Fredrikson, Anupam Datta:
Boundary Attributions Provide Normal (Vector) Explanations. CoRR abs/2103.11257 (2021) - [i5]Emily Black, Zifan Wang, Matt Fredrikson, Anupam Datta:
Consistent Counterfactuals for Deep Models. CoRR abs/2110.03109 (2021) - 2020
- [c3]Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson:
Interpreting Interpretations: Organizing Attribution Methods by Criteria. CVPR Workshops 2020: 48-55 - [c2]Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu:
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. CVPR Workshops 2020: 111-119 - [c1]Zifan Wang, Haofan Wang, Shakul Ramkumar, Piotr Mardziel, Matt Fredrikson, Anupam Datta:
Smoothed Geometry for Robust Attribution. NeurIPS 2020 - [i4]Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson:
Interpreting Interpretations: Organizing Attribution Methods by Criteria. CoRR abs/2002.07985 (2020) - [i3]Zifan Wang, Haofan Wang, Shakul Ramkumar, Matt Fredrikson, Piotr Mardziel, Anupam Datta:
Smoothed Geometry for Robust Attribution. CoRR abs/2006.06643 (2020) - [i2]Xuan Chen, Zifan Wang, Yucai Fan, Bonan Jin, Piotr Mardziel, Carlee Joe-Wong, Anupam Datta:
Towards Behavior-Level Explanation for Deep Reinforcement Learning. CoRR abs/2009.08507 (2020) - [i1]Kaiji Lu, Zifan Wang, Piotr Mardziel, Anupam Datta:
Abstracting Influence Paths for Explaining (Contextualization of) BERT Models. CoRR abs/2011.00740 (2020)
Coauthor Index
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