24 citations · 27 across the 6 of their papers we have counts for
3 papers · 1 filter
Inadvertent Context Leakage in Language Models
Jaiden Fairoze, Neal Mangaokar, Kamalika Chaudhuri +2
For AI agents to be useful beyond simple chat, they must hold sensitive user context such as calendars, credentials, health records, and financial data. We study whether the mere p…
Bypassing Prompt Guards in Production with Controlled-Release Prompting
Jaiden Fairoze, Sanjam Garg, Keewoo Lee +1
Ball et al. recently established that prompt filtering for AI alignment faces a fundamental barrier: under standard cryptographic assumptions, no filter running significantly faste…
Publicly-Detectable Watermarking for Language Models
Jaiden Fairoze, Sanjam Garg, Somesh Jha +3
We present a publicly-detectable watermarking scheme for LMs: the detection algorithm contains no secret information, and it is executable by anyone. We embed a publicly-verifiable…