ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.00751
  4. Cited By
On robustness and local differential privacy
v1v2 (latest)

On robustness and local differential privacy

Annals of Statistics (Ann. Stat.), 2022
3 January 2022
Mengchu Li
Thomas B. Berrett
Yi Yu
ArXiv (abs)PDFHTML

Papers citing "On robustness and local differential privacy"

17 / 17 papers shown
High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference
High-Dimensional Differentially Private Quantile Regression: Distributed Estimation and Statistical Inference
Ziliang Shen
Caixing Wang
Shaoli Wang
Yibo Yan
198
0
0
07 Aug 2025
Square$χ$PO: Differentially Private and Robust $χ^2$-Preference Optimization in Offline Direct Alignment
SquareχχχPO: Differentially Private and Robust χ2χ^2χ2-Preference Optimization in Offline Direct Alignment
Xingyu Zhou
Yulian Wu
Wenqian Weng
Francesco Orabona
456
1
0
27 May 2025
A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO
A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO
Xingyu Zhou
Yulian Wu
Francesco Orabona
OffRL
540
5
0
21 May 2025
Review of Mathematical Optimization in Federated Learning
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedMLAI4CE
430
6
0
02 Dec 2024
Robust Kernel Hypothesis Testing under Data Corruption
Robust Kernel Hypothesis Testing under Data Corruption
Antonin Schrab
Ilmun Kim
575
9
0
30 May 2024
Learning with User-Level Local Differential Privacy
Learning with User-Level Local Differential Privacy
Puning Zhao
Li Shen
Rongfei Fan
Qingming Li
Huiwen Wu
Yan Han
Zhe Liu
250
5
0
27 May 2024
A Huber Loss Minimization Approach to Mean Estimation under User-level
  Differential Privacy
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
Puning Zhao
Lifeng Lai
Li Shen
Qingming Li
Yan Han
Zhe Liu
310
14
0
22 May 2024
Evolving privacy: drift parameter estimation for discretely observed
  i.i.d. diffusion processes under LDP
Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP
Chiara Amorino
A. Gloter
Hélene Halconruy
246
3
0
31 Jan 2024
Differentially Private Statistical Inference through $β$-Divergence
  One Posterior Sampling
Differentially Private Statistical Inference through βββ-Divergence One Posterior SamplingNeural Information Processing Systems (NeurIPS), 2023
Jack Jewson
Sahra Ghalebikesabi
Chris Holmes
440
3
0
11 Jul 2023
Minimax rate for multivariate data under componentwise local
  differential privacy constraints
Minimax rate for multivariate data under componentwise local differential privacy constraintsAnnals of Statistics (Ann. Stat.), 2023
Chiara Amorino
A. Gloter
411
3
0
17 May 2023
Robust and differentially private stochastic linear bandits
Robust and differentially private stochastic linear bandits
Vasileios Charisopoulos
Hossein Esfandiari
Vahab Mirrokni
FedML
265
1
0
23 Apr 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
On the Privacy-Robustness-Utility Trilemma in Distributed LearningInternational Conference on Machine Learning (ICML), 2023
Youssef Allouah
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
300
33
0
09 Feb 2023
On Private and Robust Bandits
On Private and Robust BanditsNeural Information Processing Systems (NeurIPS), 2023
Yulian Wu
Xingyu Zhou
Youming Tao
Haiyan Zhao
329
10
0
06 Feb 2023
Robustness Implies Privacy in Statistical Estimation
Robustness Implies Privacy in Statistical EstimationSymposium on the Theory of Computing (STOC), 2022
Samuel B. Hopkins
Gautam Kamath
Mahbod Majid
Shyam Narayanan
684
65
0
09 Dec 2022
DP-PCA: Statistically Optimal and Differentially Private PCA
DP-PCA: Statistically Optimal and Differentially Private PCANeural Information Processing Systems (NeurIPS), 2022
Xiyang Liu
Weihao Kong
Prateek Jain
Sewoong Oh
420
32
0
27 May 2022
Network change point localisation under local differential privacy
Network change point localisation under local differential privacyNeural Information Processing Systems (NeurIPS), 2022
Mengchu Li
Thomas B. Berrett
Yi Yu
301
10
0
14 May 2022
Robust Estimation of Discrete Distributions under Local Differential
  Privacy
Robust Estimation of Discrete Distributions under Local Differential PrivacyInternational Conference on Algorithmic Learning Theory (ALT), 2022
J. Chhor
Flore Sentenac
FedML
317
14
0
14 Feb 2022
1
Page 1 of 1