Peter Kairouz
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| title | conference | date |
|---|---|---|
| A DP Framework for Gaining Insights into AI Chatbot Use | PEPR '26 | 2026-06-01 |
Urania converts millions of raw chatbot logs into DP-safe summaries and trends, claiming end-to-end ε,δ DP guarantees by privatizing cluster centers and… | ||
| Toward Provably Private Insights into AI Use | PEPR '26 | 2026-06-01 |
A system called Provably Private Insights combines trusted execution environments with a “data expert” LLM and differential privacy to ensure raw user data… | ||
| DPSynth: From Research to Production—Engineering Differentially Private Synthetic... | PEPR '26 | 2026-06-01 |
DPSynth is a marginal-based DP library that turns research into a production system: it measures low-dimensional marginals with epsilon-delta guarantees, fits… | ||
| Private Insights into AI Use | Trust in Decentralized Systems 2026 | 2026-03-16 |
Describes a practical break of Anthropic's CLIO via the CLIOPATRA attack that seeds dozens of poisoned Claude chats to bypass PII scrubbing, clustering and LLM… | ||
| Federated Heavy Hitters Discovery with Differential Privacy | Privacy and the Science of Data Analysis 2019 | 2019-04-08 |
Federated algorithm builds a prefix tree by sampling M = M = γ√n devices each round, having each sampled device cast a single-character vote, and pruning… | ||
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