Private Set Generation with Discriminative Information

7 November 2022

Mario Fritz

Papers citing "Private Set Generation with Discriminative Information"

26 / 26 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 27 0 0 23 Apr 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective Shaobo Wang Yicun Yang Z. Liu Chenghao Sun Xuming Hu Conghui He L. Zhang DD 44 2 0 28 Feb 2025
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation Bochao Liu Pengju Wang Shiming Ge 21 1 0 27 Aug 2024
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation Shaobo Wang Yantai Yang Qilong Wang Kaixin Li Linfeng Zhang Junchi Yan DD 28 4 0 22 Aug 2024
One-Shot Collaborative Data Distillation William Holland Chandra Thapa Sarah Ali Siddiqui Wei Shao S. Çamtepe DD FedML 30 0 0 05 Aug 2024
DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation Aru Maekawa Satoshi Kosugi Kotaro Funakoshi Manabu Okumura DD 23 10 0 30 Mar 2024
Towards Biologically Plausible and Private Gene Expression Data Generation Dingfan Chen Marie Oestreich Tejumade Afonja Raouf Kerkouche Matthias Becker Mario Fritz SyDa 8 3 0 07 Feb 2024
Importance-Aware Adaptive Dataset Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 19 6 0 29 Jan 2024
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study Lirui Zhao Yu-xin Zhang Fei Chao Rongrong Ji 11 0 0 09 Dec 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 15 1 0 16 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 19 61 0 09 Oct 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 8 4 0 27 Sep 2023
On the Size and Approximation Error of Distilled Sets Alaa Maalouf M. Tukan Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 13 4 0 23 May 2023
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning Chengkun Wei Ming-Hui Zhao Zhikun Zhang Min Chen Wenlong Meng Bodong Liu Yuan-shuo Fan Wenzhi Chen 14 11 0 10 May 2023
A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness Zongxiong Chen Jiahui Geng Derui Zhu Herbert Woisetschlaeger Qing Li Sonja Schimmler Ruben Mayer Chunming Rong DD 17 9 0 05 May 2023
A Survey on Dataset Distillation: Approaches, Applications and Future Directions Jiahui Geng Zongxiong Chen Yuandou Wang Herbert Woisetschlaeger Sonja Schimmler Ruben Mayer Zhiming Zhao Chunming Rong DD 55 26 0 03 May 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation Yilin Yang Kamil Adamczewski Danica J. Sutherland Xiaoxiao Li Mijung Park 12 14 0 03 Mar 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images Sahra Ghalebikesabi Leonard Berrada Sven Gowal Ira Ktena Robert Stanforth Jamie Hayes Soham De Samuel L. Smith Olivia Wiles Borja Balle DiffM 16 69 0 27 Feb 2023
Private GANs, Revisited Alex Bie Gautam Kamath Guojun Zhang 4 14 0 06 Feb 2023
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations Hui-Po Wang Dingfan Chen Raouf Kerkouche Mario Fritz FedML DD 6 4 0 02 Feb 2023
Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation Margarita Vinaroz M. Park DD 12 0 0 31 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 27 121 0 17 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 17 73 0 11 Jan 2023
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 138 347 0 25 Sep 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo-Lu Zhao Hakan Bilen DD 189 288 0 16 Feb 2021