1 citations · 1 across the 2 of their papers we have counts for
5 papers
Learning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curation
Roie Kazoom, Ofir Cohen, Rami Puzis +2
We introduce a failure-aware adversarial retrieval-augmented framework for improving robustness in natural language understanding. Rather than selecting synthetic examples with a f…
ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment
Ofir Cohen, Ron Bitton, Asaf Shabtai +1
The incidence of cybersecurity attacks utilizing social engineering techniques has increased. Such attacks exploit the fact that in every secure system, there is at least one indiv…
FreakOut-LLM: The Effect of Emotional Stimuli on Safety Alignment
Daniel Kuznetsov, Ofir Cohen, Karin Shistik +2
Safety-aligned LLMs go through refusal training to reject harmful requests, but whether these mechanisms remain effective under emotionally charged stimuli is unexplored. We introd…
LISAA: A Framework for Large Language Model Information Security Awareness Assessment
Ofir Cohen, Gil Ari Agmon, Asaf Shabtai +1
The popularity of large language models (LLMs) continues to grow, and LLM-based assistants have become ubiquitous. Information security awareness (ISA) is an important yet underexp…
VAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLI
Roie Kazoom, Ofir Cohen, Rami Puzis +2
We introduce VAULT, a fully automated adversarial RAG pipeline that systematically uncovers and remedies weaknesses in NLI models through three stages: retrieval, adversarial gener…