2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2025
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
Jonathan Brokman, Amit Giloni, Omer Hofman +3
Distinguishing between real and AI-generated images, commonly referred to as 'image detection', presents a timely and significant challenge. Despite extensive research in the (semi…
cs.CR2024★ 2 cited
Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis
Jonathan Brokman, Omer Hofman, Oren Rachmil +6
This report presents a comparative analysis of open-source vulnerability scanners for conversational large language models (LLMs). As LLMs become integral to various applications,…
cs.CL2024
DIESEL -- Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs
Ben Ganon, Alon Zolfi, Omer Hofman +4
In recent years, large language models (LLMs) have had great success in tasks such as casual conversation, contributing to significant advancements in domains like virtual assistan…