Kunal Talwar

Apple (United States) — United States

Computer Science · Physical Sciences

51h-index27.9kcitations213works0.72yr avg
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Research Topics

Privacy-Preserving Technologies in Data(82), Complexity and Algorithms in Graphs(68), Cryptography and Data Security(51), Optimization and Search Problems(33), Advanced Graph Theory Research(31)

Publications213 total

Efficient Calibration for Decision Making
arXiv (Cornell University)·2025Open Access
Resolving the Mixing Time of the Langevin Algorithm to Its Stationary Distribution for Log-Concave Sampling
SIAM Journal on Mathematics of Data Science·2025· 1 citedOpen Access
Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data Analysis
2025
Instance-Optimality for Private KL Distribution Estimation
arXiv (Cornell University)·2025Open Access
Faster Rates for Private Adversarial Bandits
arXiv (Cornell University)·2025Open Access
On Privately Estimating a Single Parameter
arXiv (Cornell University)·2025Open Access
Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data Analysis
arXiv (Cornell University)·2024Open Access
Samplable Anonymous Aggregation for Private Federated Data Analysis
2024· 6 citedOpen Access
Privacy-Computation Trade-Offs in Private Repetition and Metaselection
arXiv (Cornell University)·2024Open Access
Adaptive Batch Size for Privately Finding Second-Order Stationary Points
arXiv (Cornell University)·2024Open Access
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization
arXiv (Cornell University)·2024Open Access
On the Privacy of Noisy Stochastic Gradient Descent for Convex Optimization
SIAM Journal on Computing·2024
Instance-Optimal Private Density Estimation in the Wasserstein Distance
arXiv (Cornell University)·2024Open Access
Scalable Private Search with Wally
arXiv (Cornell University)·2024Open Access
Private Online Learning via Lazy Algorithms
arXiv (Cornell University)·2024Open Access
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
arXiv (Cornell University)·2024· 1 citedOpen Access
Differentially Private Heavy Hitter Detection using Federated Analytics
2024· 6 cited
Instance-Optimal Private Density Estimation in the Wasserstein Distance
2024
Communication Complexity and Discrepancy of Halfplanes
DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)·2024Open Access
Private and Personalized Frequency Estimation in a Federated Setting
2024
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Frequent Co-authors

Ilya Mironov(7), Li Zhang(7), Frank McSherry(6), Udi Wieder(5), Úlfar Erlingsson(5), Abhradeep Thakurta(5), Martı́n Abadi(4), H. Brendan McMahan(4), Jittat Fakcharoenphol(4), Nicolas Papernot(4), Vitaly Feldman(4), Ian Goodfellow(3), Daniel Ramage(3), Christos H. Papadimitriou(3), Satish Rao(3), Cynthia Dwork(3), Ananth Raghunathan(3), Rina Panigrahy‎(3), Anupam Gupta(3), Michael Isard(2)