v1v2 (latest)

Hypothesis Testing Interpretations and Renyi Differential Privacy

24 May 2019

Gilles Barthe

Papers citing "Hypothesis Testing Interpretations and Renyi Differential Privacy"

50 / 81 papers shown

Title
Certified Unlearning for Neural Networks Anastasia Koloskova Youssef Allouah Animesh Jha R. Guerraoui Sanmi Koyejo MU 17 0 0 08 Jun 2025
GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSS Jiayi Wan Xiang Zhu Fanzhen Liu Wei Fan Xiaolong Xu FedML 45 0 0 04 Jun 2025
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein OffRL AAML 40 1 0 27 May 2025
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation Chengkun Wei Weixian Li Chen Gong Wenzhi Chen 96 1 0 29 Mar 2025
$(\varepsilon, δ)$ Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees Juan Felipe Gomez B. Kulynych G. Kaissis Jamie Hayes Borja Balle Antti Honkela 104 0 0 13 Mar 2025
Differential Privacy Preserving Distributed Quantum Computing Hui Zhong Keyi Ju Jiachen Shen Xinyue Zhang Xiaoqi Qin Ohtsuki Tomoaki Miao Pan Zhu Han 119 0 0 16 Dec 2024
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators Tejumade Afonja Hui-Po Wang Raouf Kerkouche Mario Fritz SyDa 194 2 0 03 Dec 2024
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions Robin Carpentier B. Zhao Hassan Jameel Asghar Dali Kaafar 121 1 0 18 Nov 2024
Laplace Transform Interpretation of Differential Privacy Rishav Chourasia Uzair Javaid Biplap Sikdar 16 0 0 14 Nov 2024
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben Mohamed Ali Souibgui Rubèn Pérez Tito Khanh Nguyen Raouf Kerkouche ... Josep Lladós Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas FedML 89 0 0 06 Nov 2024
Masked Differential Privacy David Schneider Sina Sajadmanesh Vikash Sehwag Saquib Sarfraz Rainer Stiefelhagen Lingjuan Lyu Vivek Sharma 56 0 0 22 Oct 2024
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing Alexander Bienstock Ujjwal Kumar Antigoni Polychroniadou FedML 77 0 0 21 Oct 2024
Formalization of Differential Privacy in Isabelle/HOL Tetsuya Sato Yasuhiko Minamide 24 1 0 20 Oct 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 87 3 0 15 Oct 2024
The 2020 United States Decennial Census Is More Private Than You (Might) Think Buxin Su Weijie J. Su Chendi Wang 78 3 0 11 Oct 2024
Adaptively Private Next-Token Prediction of Large Language Models James Flemings Meisam Razaviyayn Murali Annavaram 125 1 0 02 Oct 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 122 0 0 01 Oct 2024
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement Jeremiah Birrell Reza Ebrahimi R. Behnia Jason L. Pacheco 98 0 0 19 Aug 2024
Calibrating Noise for Group Privacy in Subsampled Mechanisms Yangfan Jiang Xinjian Luo Yin Yang Xiaokui Xiao 97 3 0 19 Aug 2024
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy Georgios Kaissis Stefan Kolek Borja Balle Jamie Hayes Daniel Rueckert 75 5 0 13 Jun 2024
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation Jie Xu Karthikeyan P. Saravanan Rogier van Dalen Haaris Mehmood David Tuckey Mete Ozay 163 8 0 10 May 2024
Differentially Private Next-Token Prediction of Large Language Models James Flemings Meisam Razaviyayn Murali Annavaram 104 7 0 22 Mar 2024
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning Jonathan Lebensold Maziar Sanjabi Pietro Astolfi Adriana Romero Soriano Kamalika Chaudhuri Mike Rabbat Chuan Guo DiffM 77 4 0 21 Mar 2024
Differentially Private Representation Learning via Image Captioning Tom Sander Yaodong Yu Maziar Sanjabi Alain Durmus Yi-An Ma Kamalika Chaudhuri Chuan Guo 95 4 0 04 Mar 2024
Shifted Interpolation for Differential Privacy Jinho Bok Weijie Su Jason M. Altschuler 111 9 0 01 Mar 2024
Auditing Private Prediction Karan Chadha Matthew Jagielski Nicolas Papernot Christopher A. Choquette-Choo Milad Nasr 117 8 0 14 Feb 2024
On the Privacy of Selection Mechanisms with Gaussian Noise Jonathan Lebensold Doina Precup Borja Balle 60 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 130 6 0 31 Dec 2023
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release Jie Fu Qingqing Ye Haibo Hu Zhili Chen Lulu Wang Kuncan Wang Xun Ran 63 17 0 23 Nov 2023
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 74 12 0 12 Nov 2023
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering Huifa Li Jie Fu Zhili Chen Xiaomin Yang Haitao Liu Xinpeng Ling 51 1 0 06 Nov 2023
Flow-based Distributionally Robust Optimization Chen Xu Jonghyeok Lee Xiuyuan Cheng Yao Xie OOD 116 5 0 30 Oct 2023
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning Christopher A. Choquette-Choo Krishnamurthy Dvijotham Krishna Pillutla Arun Ganesh Thomas Steinke Abhradeep Thakurta 86 17 0 10 Oct 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 75 5 0 27 Sep 2023
Truncated Laplace and Gaussian mechanisms of RDP Jie Fu Zhiyu Sun Haitao Liu Zhili Chen 16 0 0 22 Sep 2023
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy Fumiyuki Kato Li Xiong Shun Takagi Yang Cao Masatoshi Yoshikawa FedML 69 4 0 23 Aug 2023
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks Shijie Liu Andrew C. Cullen Paul Montague S. Erfani Benjamin I. P. Rubinstein AAML 61 6 0 15 Aug 2023
Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy Georgios Kaissis Jamie Hayes Alexander Ziller Daniel Rueckert AAML 76 13 0 08 Jul 2023
ViP: A Differentially Private Foundation Model for Computer Vision Yaodong Yu Maziar Sanjabi Yi Ma Kamalika Chaudhuri Chuan Guo 65 13 0 15 Jun 2023
"Private Prediction Strikes Back!'' Private Kernelized Nearest Neighbors with Individual Renyi Filter Yuqing Zhu Xuandong Zhao Chuan Guo Yu-Xiang Wang 73 4 0 12 Jun 2023
Gaussian Membership Inference Privacy Tobias Leemann Martin Pawelczyk Gjergji Kasneci 71 16 0 12 Jun 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML Krishna Pillutla Galen Andrew Peter Kairouz H. B. McMahan Alina Oprea Sewoong Oh 88 23 0 29 May 2023
Have it your way: Individualized Privacy Assignment for DP-SGD Franziska Boenisch Christopher Muhl Adam Dziedzic Roy Rinberg Nicolas Papernot 82 18 0 29 Mar 2023
Multi-Message Shuffled Privacy in Federated Learning Antonious M. Girgis Suhas Diggavi FedML 95 9 0 22 Feb 2023
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Hui-Po Wang Dingfan Chen Raouf Kerkouche Mario Fritz FedML DD 87 4 0 02 Feb 2023
Training Differentially Private Graph Neural Networks with Random Walk Sampling Morgane Ayle Jan Schuchardt Lukas Gosch Daniel Zügner Stephan Günnemann FedML 82 6 0 02 Jan 2023
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing Jie Fu Zhili Chen Xinpeng Ling 72 1 0 14 Nov 2022
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design Chuan Guo Kamalika Chaudhuri Pierre Stock Michael G. Rabbat FedML 82 7 0 08 Nov 2022
PAC Privacy: Automatic Privacy Measurement and Control of Data Processing Hanshen Xiao S. Devadas 101 12 0 07 Oct 2022
TAN Without a Burn: Scaling Laws of DP-SGD Tom Sander Pierre Stock Alexandre Sablayrolles FedML 86 43 0 07 Oct 2022