Sy-FAR: Symmetry-based Fair Adversarial Robustness
Published in USENIX Security Symposium (accepted), 2026
Sy-FAR is a symmetry-based approach for fair adversarial robustness in security-critical ML (e.g., face recognition) under physically realizable attacks.