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20182026
most citedA Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data

24 citations · 60 across the 13 of their papers we have counts for

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cs.AI2026★ 3 cited

AgentLeak: A Benchmark for Internal-Channel Privacy Leakage in Multi-Agent LLM Systems

Faouzi El Yagoubi, Godwin Badu-Marfo, Ranwa Al Mallah

Multi-agent Large Language Model (LLM) systems create privacy risks that current output-only benchmarks cannot measure. When agents coordinate on tasks, sensitive data may pass thr…