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2111.02281
Cited By
Privately Publishable Per-instance Privacy
3 November 2021
Rachel Redberg
Yu-Xiang Wang
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Papers citing
"Privately Publishable Per-instance Privacy"
14 / 14 papers shown
Title
Towards Optimal Differentially Private Regret Bounds in Linear MDPs
Sharan Sahu
55
0
0
12 Apr 2025
Privacy Amplification for the Gaussian Mechanism via Bounded Support
Shengyuan Hu
Saeed Mahloujifar
Virginia Smith
Kamalika Chaudhuri
Chuan Guo
FedML
33
1
0
07 Mar 2024
On the Privacy of Selection Mechanisms with Gaussian Noise
Jonathan Lebensold
Doina Precup
Borja Balle
29
0
0
09 Feb 2024
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
Rachel Redberg
Antti Koskela
Yu-Xiang Wang
68
5
0
31 Dec 2023
Privately Answering Queries on Skewed Data via Per Record Differential Privacy
Jeremy Seeman
William Sexton
David Pujol
Ashwin Machanavajjhala
17
4
0
19 Oct 2023
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile
Tyler LeBlond
Joseph Munoz
Fred Lu
Maya Fuchs
Elliott Zaresky-Williams
Edward Raff
Brian Testa
14
3
0
27 Jun 2023
Bounding Training Data Reconstruction in DP-SGD
Jamie Hayes
Saeed Mahloujifar
Borja Balle
AAML
FedML
31
39
0
14 Feb 2023
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
Rachel Redberg
Yuqing Zhu
Yu-Xiang Wang
30
7
0
31 Dec 2022
Individual Privacy Accounting with Gaussian Differential Privacy
A. Koskela
Marlon Tobaben
Antti Honkela
32
18
0
30 Sep 2022
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent
Da Yu
Gautam Kamath
Janardhan Kulkarni
Tie-Yan Liu
Jian Yin
Huishuai Zhang
11
17
0
06 Jun 2022
Offline Reinforcement Learning with Differential Privacy
Dan Qiao
Yu-Xiang Wang
OffRL
33
23
0
02 Jun 2022
Individual Privacy Accounting via a Renyi Filter
Vitaly Feldman
Tijana Zrnic
51
86
0
25 Aug 2020
SoK: Differential Privacies
Damien Desfontaines
Balázs Pejó
26
121
0
04 Jun 2019
Mechanism Design in Large Games: Incentives and Privacy
Michael Kearns
Mallesh M. Pai
Aaron Roth
Jonathan R. Ullman
82
182
0
17 Jul 2012
1