2 citations · 2 across the 1 of their papers we have counts for
3 papers
When the Defense Writes the Refusal: Auditing Keyword-Scored Evaluation of Inference-Time Defenses for Multimodal Large Language Models
Bulat Nutfullin, Vladimir Evgrafov, Dmitry Namiot
Prompt-based inference-time defenses for multimodal large language models (MLLMs) emit safety language into the very answers they defend, and a lexical keyword scorer whose refusal…
Prompt Injection Attacks in Defended Systems
Daniil Khomsky, Narek Maloyan, Bulat Nutfullin
Large language models play a crucial role in modern natural language processing technologies. However, their extensive use also introduces potential security risks, such as the pos…
Trojan Detection in Large Language Models: Insights from The Trojan Detection Challenge
Narek Maloyan, Ekansh Verma, Bulat Nutfullin +1
Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains, but their vulnerability to trojan or backdoor attacks poses significant security risks. T…