14 citations · 16 across the 5 of their papers we have counts for
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cs.CV2024
Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency
Maor Dikter, Tsachi Blau, Chaim Baskin
Concept bottleneck models (CBMs) have emerged as critical tools in domains where interpretability is paramount. These models rely on predefined textual descriptions, referred to as…
cs.CV2023★ 2 cited
Class-Conditioned Transformation for Enhanced Robust Image Classification
Tsachi Blau, Roy Ganz, Chaim Baskin +2
Robust classification methods predominantly concentrate on algorithms that address a specific threat model, resulting in ineffective defenses against other threat models. Real-worl…
cs.CV2022★ 14 cited
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Tsachi Blau, Roy Ganz, Bahjat Kawar +2
Deep Neural Networks (DNNs) are highly sensitive to imperceptible malicious perturbations, known as adversarial attacks. Following the discovery of this vulnerability in real-world…