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Attacking Identity Semantics in DeepFakes via Deep ...
IEEE Computer Society
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由 B Fan 著作2023被引用 5 次 — We propose the identity-feature-extracted adversarial network (IFE-GAN) to launch attacks on identity semantics.
Attacking Identity Semantics in DeepFakes via Deep ...
IEEE Xplore
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由 B Fan 著作2023被引用 5 次 — We propose the identity-feature-extracted adversarial network (IFE-GAN) to launch attacks on identity semantics.
Attacking Identity Semantics in DeepFakes via Deep ...
ResearchGate
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ResearchGate
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2024年8月12日 — Semantics. Conference Paper. Attacking Identity Semantics in DeepFakes via Deep Feature Fusion. August 2023. DOI:10.1109/MIPR59079.2023.00035.
Attacking Identity Semantics in DeepFakes via Deep ...
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由 B Fan 著作2023被引用 5 次 — To this end, in this paper, we propose the IFE-GAN as an adversarial attacking model to obscure the identity semantics in DeepFakes. After train- ing, IFE-GAN ...
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bing fan - Google 学术搜索
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Attacking identity semantics in deepfakes via deep feature fusion. B Fan, Z Jiang, S Hu, F Ding. 2023 IEEE 6th International Conference on Multimedia ...
arXiv:2312.10713v1 [cs.CV] 17 Dec 2023
arXiv
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由 B Fan 著作2023被引用 15 次 — To address this issue, we propose a method to generate novel adversarial sharpening masks for launching black-box anti-forensics attacks. Unlike.
Publications
Purdue University
https://web.ics.purdue.edu › publications
Purdue University
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[MIPR23] Attacking Identity Semantics in DeepFakes via Deep Feature Fusion [PDF] Bing Fan, Zihan Jiang, Shu Hu, Feng Ding IEEE 6th International Conference ...
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[PDF] Deepfake Detection
Semantic Scholar
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Semantic Scholar
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A deepfake detection method using Long-short term memory (LSTM) based model is introduced and highest accuracy of 95.33% was achieved using this model.
A proactive method to obstruct DeepFakes via disrupting ...
ScienceDirect.com
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ScienceDirect.com
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由 Y Li 著作2024被引用 2 次 — Our method attacks the facial landmark extractors using meticulously designed adversarial perturbations, which are image noises purposely designed to mislead ...
Vulnerability of Automatic Identity Recognition to Audio- ...
arXiv
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arXiv
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We demonstrate the vulnerability of a state of the art speaker recognition system, such as ECAPA-TDNN-based model from SpeechBrain, to the synthetic voices.
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