24 citations · 60 across the 13 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.HC2026
The Interlocutor Effect: Why LLMs Leak More Personal Data to Agents Than Humans
Faouzi El Yagoubi, Godwin Badu-Marfo, Ranwa Al Mallah
Large Language Models (LLMs) alter their privacy behavior based on the perceived identity of their interlocutor. While safety mechanisms typically prevent LLMs from releasing Perso…
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…