DPMLBench: Holistic Evaluation of Differentially Private Machine
Learning

DPMLBench: Holistic Evaluation of Differentially Private Machine Learning

10 May 2023

Papers citing "DPMLBench: Holistic Evaluation of Differentially Private Machine Learning"

15 / 15 papers shown

Title
Beyond Anonymization: Object Scrubbing for Privacy-Preserving 2D and 3D Vision Tasks Murat Bilgehan Ertan Ronak Sahu Phuong Ha Nguyen Kaleel Mahmood Marten van Dijk 31 0 0 23 Apr 2025
ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models Linkang Du Zheng Zhu M. Chen Zhou Su S. Ji Peng Cheng Jiming Chen Zhikun Zhang DiffM WIGM MLAU 71 0 0 17 Apr 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 64 3 0 18 Mar 2025
SoK: Dataset Copyright Auditing in Machine Learning Systems L. Du Xuanru Zhou M. Chen Chusong Zhang Zhou Su Peng Cheng Jiming Chen Zhikun Zhang MLAU 30 3 0 22 Oct 2024
$S^2$ NeRF: Privacy-preserving Training Framework for NeRF Bokang Zhang Yanglin Zhang Zhikun Zhang Jinglan Yang Lingying Huang Junfeng Wu 51 2 0 03 Sep 2024
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation Meenatchi Sundaram Muthu Selva Annamalai Georgi Ganev Emiliano De Cristofaro 39 9 0 16 May 2024
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training Zihao Wang Rui Zhu Dongruo Zhou Zhikun Zhang John C. Mitchell Haixu Tang Xiaofeng Wang AAML 50 6 0 05 Mar 2024
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model Haiming Wang Zhikun Zhang Tianhao Wang Shibo He Michael Backes Jiming Chen Yang Zhang 48 36 0 02 Oct 2022
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy L. Du Zhikun Zhang Shaojie Bai Changchang Liu S. Ji Peng Cheng Jiming Chen 96 36 0 14 Oct 2021
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 351 0 13 Oct 2021
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 135 120 0 07 Oct 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 168 350 0 25 Sep 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu FedML SILM 94 111 0 25 Feb 2021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy Nicolas Papernot Abhradeep Thakurta Shuang Song Steve Chien Ulfar Erlingsson AAML 147 178 0 28 Jul 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 360 0 24 Mar 2020