arxiv
PublishedMay 11, 2026 at 4:00 AM
—neutral
Searching for Privacy Risks in LLM Agents via Simulation
Publisher summary· verbatim
arXiv:2508.10880v3 Announce Type: replace-cross Abstract: The widespread deployment of LLM-based agents is likely to introduce a critical privacy threat: malicious agents that proactively engage others in multi-turn interactions to extract sensitive information. However, the evolving nature of such
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivReverso: Efficient Time Series Foundation Models for Zero-shot Forecasting5harxivMultinex: Lightweight Low-light Image Enhancement via Multi-prior Retinex5harxivMarket Design for AI: Beyond the Copyright Binary5harxivWho Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents5hThe Bubble Brief
WEEKLYRead privacy insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗