Smoothed Inference for Adversarially-Trained Models. - Yaniv Nemcovsky; Evgenii Zheltonozhskii; Chaim Baskin; Brian Chmiel; Alexander M. Bronstein; Avi Mendelson (CoRR, 2019)

On the generalization of bayesian deep nets for multi-class classification. - Yossi Adi; Yaniv Nemcovsky; Alexander G. Schwing; Tamir Hazan (CoRR, 2020)

Colored Noise Injection for Training Adversarially Robust Neural Networks. - Evgenii Zheltonozhskii; Chaim Baskin; Yaniv Nemcovsky; Brian Chmiel; Avi Mendelson; Alex M. Bronstein (CoRR, 2020)

Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. - Yaniv Nemcovsky; Matan Jacoby; Alex M. Bronstein; Chaim Baskin (ACCV (7), 2022)

Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. - Yaniv Nemcovsky; Matan Yaakoby; Alex M. Bronstein; Chaim Baskin (CoRR, 2022)

Adversarial robustness via noise injection in smoothed models. - Yaniv Nemcovsky; Evgenii Zheltonozhskii; Chaim Baskin; Brian Chmiel; Alex M. Bronstein; Avi Mendelson (Appl. Intell., 2023)

Sparse patches adversarial attacks via extrapolating point-wise information. - Yaniv Nemcovsky; Avi Mendelson; Chaim Baskin (CoRR, 2024)

Enhancing Jailbreak Attacks via Compliance-Refusal-Based Initialization. - Amit Levi; Rom Himelstein; Yaniv Nemcovsky; Avi Mendelson; Chaim Baskin (CoRR, 2025)