All news with #training data leakage tag

🧭 Bruce Schneier examines recent research on AI and contextual integrity, focusing on how large language models manage persistent memory and the risks of inappropriate information disclosure. He highlights two papers: one (CIMemories) showing widespread attribute-level leakage across tasks and runs, and another demonstrating that explicit reasoning and RL training can improve context-aware disclosure. Schneier emphasizes that solutions require reasoning capabilities, not just better prompting or scaling.

🔒 A new research paper shows a flaw in how OpenAI, Anthropic, and Google carry encrypted reasoning between API calls, enabling recovery of hidden internal reasoning and secrets from session logs. The team demonstrated replay and decoding attacks that recovered API keys, passwords, and other private artifacts from publicly available agent traces. Vendors implemented mitigations and the authors say the main extraction no longer reproduces as of August 2026, but developers are urged to strip opaque reasoning blocks from shared logs.