Consent, Coaxing, and Countermoves: Simulating Privacy Attacks on LLM Agents
TL;DR for operators Email is still where good security intentions go to become embarrassing screenshots. The paper behind this article, Searching for Privacy Risks in LLM Agents via Simulation, studies a future that is no longer especially futuristic: one AI agent has access to sensitive information, another agent wants it, and the two can talk through ordinary applications such as email, Messenger, Facebook, or Notion.1 The question is not whether the model knows a privacy rule in the abstract. The question is whether an agent, while trying to be helpful in a live interaction, can refuse the wrong request at the right moment. ...