Sy-FAR: Symmetry-based Fair Adversarial Robustness
Published in USENIX Security 2026, 2026
Sy-FAR is a symmetry-based approach for fair adversarial robustness in security-critical ML (e.g., face recognition) under physically realizable attacks.
Published in USENIX Security 2026, 2026
Sy-FAR is a symmetry-based approach for fair adversarial robustness in security-critical ML (e.g., face recognition) under physically realizable attacks.
Published in arXiv preprint · 2026, 2026
CORSA optimizes skill injections for both retrieval and execution in router-managed AI agents.
Published:
I presented Sy-FAR: Symmetry-based Fair Adversarial Robustness at multiple academic venues: