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Kunal Talwar

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titleconferencedate
Efficient Robust Private Aggregation for DPTrust in Decentralized Systems 20262026-03-16
Two-server Prio model for secure aggregation, with concrete constructions: PINE: sqrt(D) additional communication, about 3% overhead at D=1,000,000, gives…
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Short TalksFederated and Collaborative Learning Boot Camp 20262026-01-26
Open-source NVFlare is production-ready since 2021 and runs the 20-hospital COVID oxygen predictor, supports on‑prem IP protection, and surfaces in 50–60+…
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Private Meta-SelectionPrivacy and the Science of Data Analysis 20192019-04-08
Defines private meta‑selection: pick the best among K differentially private candidate mechanisms while avoiding an ε cost linear in K. Gives a randomized…
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Large-Scale Private Learning, Part IData Privacy: Foundations and Applications Boot Camp2019-01-28
Covers concrete mechanisms and bounds: the Gaussian mechanism adds N(0,σ^2) with σ = Θ(√(ln(1/δ))/ε) to any ℓ2‑sensitive query, privacy tracked via the…
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Large-Scale Private Learning, Part IIData Privacy: Foundations and Applications Boot Camp2019-01-28
Noisy SGD uses per-example gradient clipping and Gaussian noise with privacy amplification by sampling to get utility near nonprivate models; theoretical…
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Differential PrivacyUncertainty in Computation 20162016-10-04
Survey of real attacks shows reidentification from anonymized records (Massachusetts medical release, Netflix Prize, GWAS/Homer). Formal guarantee treats the…
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