A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
M. Ferrag, N. Tihanyi, Djallel Hamouda, et al.
A unified threat model for LLM-agent ecosystems covering host-to-tool and agent-to-agent attacks, with over 30 techniques and mitigation strategies.
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This survey systematically reviews threats and countermeasures for trustworthy LLM agents, organizing defense approaches into three paradigms: alignment, monitoring, and control.
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A survey of security challenges for AI agents, identifying four knowledge gaps and mapping them to key threats and future pathways.
Vikas Hassija, Vinay Chamola, Vikas Saxena, et al.
This survey reviews IoT security challenges and solutions, focusing on blockchain, fog computing, edge computing, and machine learning to achieve end-to-end secure IoT environments.
Mingfu Xue, Chengxiang Yuan, Heyi Wu, et al.
A comprehensive survey of machine learning security covering threats, countermeasures, and evaluations across training and test phases.
Yuntao Wang, Yanghe Pan, Miao Yan, et al.
A comprehensive survey of ChatGPT and AIGC covering working principles, security/privacy threats, watermarking solutions, and future challenges.