FaceGuard: A Self-Supervised Defense Against Adversarial Face Images
Author:
Affiliation:
1. Michigan State University,Department of Computer Science and Engineering,East Lansing,MI,48824
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10042469/10042499/10042617.pdf?arnumber=10042617
Reference54 articles.
1. AdvFaces: Adversarial Face Synthesis
2. On the Detection of Digital Face Manipulation
3. Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition
4. ArcFace: Additive Angular Margin Loss for Deep Face Recognition
5. Efficient Defenses Against Adversarial Attacks
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2. Two-Stage Image Restoration: A Shield against Adversarial Attacks on Face Identification;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11
3. General Adversarial Perturbation Simulating: Protect Unknown System by Detecting Unknown Adversarial Faces;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
4. Transformer Based Defense GAN Against Palm-Vein Adversarial Attacks;IEEE Transactions on Information Forensics and Security;2023
5. Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2022
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