Renyi Differential Privacy

24 February 2017

Papers citing "Renyi Differential Privacy"

17 / 17 papers shown

Title
Model Agnostic Differentially Private Causal Inference Christian Lebeda Mathieu Even Aurélien Bellet Julie Josse FedML 9 1 0 26 May 2025
A Comprehensive Survey of Synthetic Tabular Data Generation Ruxue Shi Yili Wang Mengnan Du Xu Shen Xin Wang 78 2 0 23 Apr 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 101 3 0 18 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 68 0 0 13 Mar 2025
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators Tejumade Afonja Hui-Po Wang Raouf Kerkouche Mario Fritz SyDa 136 2 0 03 Dec 2024
Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios Sangyeon Yoon Wonje Jeung Albert No 106 0 0 02 Dec 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 57 0 0 01 Oct 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 67 6 0 22 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 94 1 0 12 Jun 2024
Visual Privacy Auditing with Diffusion Models Kristian Schwethelm Johannes Kaiser Moritz Knolle Daniel Rueckert Daniel Rueckert Alexander Ziller DiffM AAML 76 0 0 12 Mar 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization Xinyu Tang Ashwinee Panda Milad Nasr Saeed Mahloujifar Prateek Mittal 84 19 0 09 Jan 2024
DP-SGD with weight clipping Antoine Barczewski Jan Ramon 36 1 0 27 Oct 2023
Concurrent Composition for Interactive Differential Privacy with Adaptive Privacy-Loss Parameters Samuel Haney Michael Shoemate Grace Tian Salil P. Vadhan Andrew Vyrros Vicki Xu Wanrong Zhang 26 6 0 12 Sep 2023
PRIMO: Private Regression in Multiple Outcomes Seth Neel 42 0 0 07 Mar 2023
Understanding Unintended Memorization in Federated Learning Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Franccoise Beaufays FedML 27 47 0 12 Jun 2020
Noiseless Privacy F. Farokhi 38 9 0 29 Oct 2019
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 45 1,009 0 18 Oct 2016