The Price of Differential Privacy For Online Learning

27 January 2017

Papers citing "The Price of Differential Privacy For Online Learning"

17 / 17 papers shown

Title
Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise V. Cadambe Ateet Devulapalli Haewon Jeong Flavio du Pin Calmon 49 1 0 20 Jan 2025
Private Online Learning via Lazy Algorithms Hilal Asi Tomer Koren Daogao Liu Kunal Talwar 109 0 0 05 Jun 2024
Private Online Prediction from Experts: Separations and Faster Rates Hilal Asi Vitaly Feldman Tomer Koren Kunal Talwar FedML 32 18 0 24 Oct 2022
Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury Xingyu Zhou 40 12 0 12 Jun 2022
Offline Reinforcement Learning with Differential Privacy Dan Qiao Yu Wang OffRL 44 23 0 02 Jun 2022
Continual and Sliding Window Release for Private Empirical Risk Minimization Lauren Watson Abhirup Ghosh Benedek Rozemberczki Rik Sarkar 27 0 0 07 Mar 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams S. Denisov H. B. McMahan J. Rush Adam D. Smith Abhradeep Thakurta FedML 38 60 0 16 Feb 2022
Improved Regret for Differentially Private Exploration in Linear MDP Dung Daniel Ngo G. Vietri Zhiwei Steven Wu 29 8 0 02 Feb 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury Xingyu Zhou 29 21 0 20 Dec 2021
The Price of Differential Privacy under Continual Observation Palak Jain Sofya Raskhodnikova Satchit Sivakumar Adam D. Smith 31 51 0 01 Dec 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 33 71 0 04 Jul 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization Abhimanyu Dubey 22 13 0 24 Feb 2021
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 26 59 0 18 Sep 2020
Online Agnostic Boosting via Regret Minimization Nataly Brukhim Xinyi Chen Elad Hazan Shay Moran 27 13 0 02 Mar 2020
An Equivalence Between Private Classification and Online Prediction Mark Bun Roi Livni Shay Moran 37 75 0 01 Mar 2020
Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces Baoxiang Wang N. Hegde 17 64 0 30 Jan 2019
Differentially Private Empirical Risk Minimization Revisited: Faster and More General Di Wang Minwei Ye Jinhui Xu 26 268 0 14 Feb 2018