2 citations · 2 across the 12 of their papers we have counts for
6 papers · 1 filter
BadEngram: Backdoor Attack on Gated Memory Components in LLMs
Ariel Fogel, Omer Hofman, Eilon Cohen +1
To expand open-weight models' capacity without proportionally increasing computation, recent architectures incorporate gated parametric memory that retrieves learned values and inj…
When Scanners Lie: Evaluator Instability in LLM Red-Teaming
Lidor Erez, Omer Hofman, Tamir Nizri +1
Automated LLM vulnerability scanners are increasingly used to assess security risks by measuring different attack type success rates (ASR). Yet the validity of these measurements h…
Adversarial Intent is a Latent Variable: Stateful Trust Inference for Securing Multimodal Agentic RAG
Inderjeet Singh, Vikas Pahuja, Aishvariya Priya Rathina Sabapathy +8
Current stateless defences for multimodal agentic RAG fail to detect adversarial strategies that distribute malicious semantics across retrieval, planning, and generation component…
Inference-Time Backdoors via Chat Templates: From LLM Supply Chains to Agentic System Compromise
Ariel Fogel, Omer Hofman, Eilon Cohen +1
Open-weight language models are increasingly used in production settings, raising new security challenges. One prominent threat is backdoor attacks, in which adversaries embed hidd…
AgenTRIM: Tool Risk Mitigation for Agentic AI
Roy Betser, Amit Giloni, Shamik Bose +4
AI agents are autonomous systems that combine LLMs with external tools to solve complex tasks. While such tools extend capability, improper tool permissions introduce security risk…
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,…