Apple research formalizes privacy leakage in agentic negotiation

The paper, accepted at ARES 2026, formalizes inference attacks where negotiation agents leak private information through their behavior, and proposes mitigation via randomized policies. It applies to high-stakes settings like deal-making.
1 source
Apple by email
Get an email when Apple has news
No news that day, no email.
More stories today
- Robotic systems struggle with physical navigation in recent demonstrations
- ChatGPT Visualize skill turns notes into interactive interfaces
- Twitch streamers sue Twitch, Amazon over AI training data use
- Fastino launches GLiNER2.5 with boundary-prediction architecture
- NVIDIA Sol Engine cuts MiniMax H3 latency to 14.93s