activity
20242026
most citedAgentLeak: A Benchmark for Internal-Channel Privacy Leakage in Multi-Agent LLM Systems

3 citations · 3 across the 6 of their papers we have counts for

collaborators

9 papers

cs.LG2026

Distilling Knowledge from Large Language Models into Lightweight Reinforcement Learning Agents for Autonomous Cyber Operations

Konur Tholl, François Rivest, Mariam El Mezouar +2

Autonomous Cyber Operations (ACO) are increasingly important for defending enterprise networks as cyber threats continue to evolve in sophistication. ACO applications commonly empl…

cs.AI20263 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…

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.CR2026

Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence

Alex Popa, Adrian Taylor, Ranwa Al Mallah

Reinforcement learning techniques are being explored as solutions to the threat of cyber attacks on enterprise networks. Recent research in the field of AI in cyber security has in…

cs.CR2026

Large Language Model Integration with Reinforcement Learning to Augment Decision-Making in Autonomous Cyber Operations

Konur Tholl, François Rivest, Mariam El Mezouar +2

Reinforcement Learning (RL) has shown great potential for autonomous decision-making in the cybersecurity domain, enabling agents to learn through direct environment interaction. H…

cs.CR2026

Towards Production-Worthy Simulation for Autonomous Cyber Operations

Konur Tholl, Mariam El Mezouar, Adrian Taylor +1

Simulated environments have proven invaluable in Autonomous Cyber Operations (ACO) where Reinforcement Learning (RL) agents can be trained without the computational overhead of emu…