11 citations · 22 across the 5 of their papers we have counts for
5 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…
Uncertainty-Aware Evaluation for Vision-Language Models
Vasily Kostumov, Bulat Nutfullin, Oleg Pilipenko +1
Vision-Language Models like GPT-4, LLaVA, and CogVLM have surged in popularity recently due to their impressive performance in several vision-language tasks. Current evaluation met…
DIALOG-22 RuATD Generated Text Detection
Narek Maloyan, Bulat Nutfullin, Eugene Ilyushin
Text Generation Models (TGMs) succeed in creating text that matches human language style reasonably well. Detectors that can distinguish between TGM-generated text and human-writte…