Papers
1–3 of 3Research Paper·Mar 5, 2026
Differentially Private Multimodal In-Context Learning
Vision-language models are increasingly applied to sensitive domains such as medical imaging and personal photographs, yet existing differentially private methods for in-context learning are limited t...
6.0 viability
Research Paper·Feb 18, 2026
Large-scale online deanonymization with LLMs
We show that large language models can be used to perform at-scale deanonymization. With full Internet access, our agent can re-identify Hacker News users and Anthropic Interviewer participants at hig...
5.0 viability
Research Paper·Mar 19, 2026
From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents
Anonymization is widely treated as a practical safeguard because re-identifying anonymous records was historically costly, requiring domain expertise, tailored algorithms, and manual corroboration. We...
4.0 viability