Threats in LLM-Powered AI Agents Workflows
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.
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.
Jiayu Liu, Qihan Lin, Cheng Qian, et al.
Evaluates LLM tool-use agents on long-horizon planning in large-scale tool ecosystems, finding most models below two-thirds accuracy.
Somnath Mazumdar, Daniel Seybold, Kyriakos Kritikos, et al.
A survey of cloud-centric Big Data placement and storage methodologies, focusing on non-functional properties to improve data management cost and application performance.