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pro vyhledávání: '"Vyas, Sanyam"'
Autor:
Shereen, Ezzeldin, Ristea, Dan, Vyas, Sanyam, McFadden, Shae, Dwyer, Madeleine, Hicks, Chris, Mavroudis, Vasilios
The frequent discovery of security vulnerabilities in both open-source and proprietary software underscores the urgent need for earlier detection during the development lifecycle. Initiatives such as DARPA's Artificial Intelligence Cyber Challenge (A
Externí odkaz:
http://arxiv.org/abs/2412.11194
Publikováno v:
2024 IEEE Security and Privacy Workshops (SPW), pp. 76-86, 2024
This paper investigates the threat of backdoors in Deep Reinforcement Learning (DRL) agent policies and proposes a novel method for their detection at runtime. Our study focuses on elusive in-distribution backdoor triggers. Such triggers are designed
Externí odkaz:
http://arxiv.org/abs/2407.15168
Within recent times, cybercriminals have curated a variety of organised and resolute cyber attacks within a range of cyber systems, leading to consequential ramifications to private and governmental institutions. Current security-based automation and
Externí odkaz:
http://arxiv.org/abs/2303.04926