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pro vyhledávání: '"Nutfullin, Bulat"'
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 possibility of black-box attacks. These attacks can embed hidden maliciou
Externí odkaz:
http://arxiv.org/abs/2406.14048
Large Language Models (LLMs) have demonstrated remarkable capabilities in various domains, but their vulnerability to trojan or backdoor attacks poses significant security risks. This paper explores the challenges and insights gained from the Trojan
Externí odkaz:
http://arxiv.org/abs/2404.13660
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 methods, however, overlook an essential component: uncertainty, which is
Externí odkaz:
http://arxiv.org/abs/2402.14418
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-written ones play an important role in preventing abuse of TGM. In this pape
Externí odkaz:
http://arxiv.org/abs/2206.08029
Autor:
DANILOV, Gleb, PILIPENKO, Oleg, KOSTYUMOV, Vasiliy, TRUBETSKOY, Sergey, MALOYAN, Narek, NUTFULLIN, Bulat, ILYUSHIN, Eugeniy, PITSKHELAURI, David, ZELENOVA, Alexandra, BYKANOV, Andrey
Publikováno v:
Studies in Health Technology & Informatics; 2024, Vol. 321, p185-189, 5p
