14 citations · 14 across the 3 of their papers we have counts for
3 papers
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.CL2024
GRAM: Global Reasoning for Multi-Page VQA
Tsachi Blau, Sharon Fogel, Roi Ronen +6
The increasing use of transformer-based large language models brings forward the challenge of processing long sequences. In document visual question answering (DocVQA), leading met…
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…