Threat Model-Agnostic Adversarial Defense using Diffusion Models. - Tsachi Blau; Roy Ganz; Bahjat Kawar; Alex M. Bronstein; Michael Elad (CoRR, 2022)

Classifier Robustness Enhancement Via Test-Time Transformation. - Tsachi Blau; Roy Ganz; Chaim Baskin; Michael Elad; Alexander M. Bronstein (CoRR, 2023)

GRAM: Global Reasoning for Multi-Page VQA. - Tsachi Blau; Sharon Fogel; Roi Ronen; Alona Golts; Shahar Tsiper; Elad Ben-Avraham; Aviad Aberdam; Roy Ganz; Ron Litman (CVPR, 2024)

Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods. - Tsachi Blau; Moshe Kimhi; Yonatan Belinkov; Alexander M. Bronstein; Chaim Baskin (CoRR, 2024)

Class-Conditioned Transformation for Enhanced Robust Image Classification. - Tsachi Blau; Roy Ganz; Chaim Baskin; Michael Elad; Alex M. Bronstein (WACV, 2025)

Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency. - Maor Dikter; Tsachi Blau; Chaim Baskin (WACV, 2025)