2 citations · 2 across the 12 of their papers we have counts for
7 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…
An Actionable Diagnosis of Multilingual, Multi-Agent Planning Failures
Vikas Pahuja, Jonathan Brokman, Omer Hofman +6
Multilingual multi-agent systems exhibit substantial degradation beyond English, yet prior work rarely identifies how task-critical information is lost when user requests are conve…
RIFT-Bench: Dynamic Red-teaming For Agentic AI Systems
Yarin Yerushalmi Levi, Roy Betser, Amit Giloni +5
Agentic AI systems powered by large language models (LLMs) are rapidly evolving into autonomous decision-making systems, exposing attack vectors beyond those of traditional LLM vul…
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…