Dynamic Differential-Privacy Preserving SGD

30 October 2021

Papers citing "Dynamic Differential-Privacy Preserving SGD"

21 / 21 papers shown

Title
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Z. Zhu Y. Huang Xin Wang Shouling Ji Jinming Xu 26 0 0 10 May 2025
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Linda Scheu-Hachtel Jasmin Zalonis 36 0 0 09 May 2025
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation Chengkun Wei Weixian Li Chen Gong Wenzhi Chen 58 0 0 29 Mar 2025
Federated Learning with Differential Privacy: An Utility-Enhanced Approach Kanishka Ranaweera Dinh C. Nguyen P. Pathirana David B. Smith Ming Ding Thierry Rakotoarivelo A. Seneviratne FedML 47 0 0 27 Mar 2025
Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data Kanishka Ranaweera Dinh C. Nguyen P. Pathirana David B. Smith Ming Ding Thierry Rakotoarivelo A. Seneviratne 29 0 0 27 Mar 2025
Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning Kanishka Ranaweera David B. Smith P. Pathirana Ming Ding Thierry Rakotoarivelo A. Seneviratne FedML 48 0 0 27 Mar 2025
Video-DPRP: A Differentially Private Approach for Visual Privacy-Preserving Video Human Activity Recognition Allassan Tchangmena A Nken Susan Mckeever Peter Corcoran Ihsan Ullah PICV 48 0 0 03 Mar 2025
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight Tao Huang Qingyu Huang Xin Shi Jiayang Meng Guolong Zheng Xu Yang Xun Yi 26 0 0 05 Nov 2024
Unlearning with Fisher Masking Yufang Liu Changzhi Sun Yuanbin Wu Aimin Zhou MU 21 4 0 09 Oct 2023
Differentially Private Video Activity Recognition Zelun Luo Yuliang Zou Yijin Yang Zane Durante De-An Huang Zhiding Yu Chaowei Xiao L. Fei-Fei Anima Anandkumar PICV 27 3 0 27 Jun 2023
Differentially Private Wireless Federated Learning Using Orthogonal Sequences Xizixiang Wei Tianhao Wang Ruiquan Huang Cong Shen Jing Yang H. Vincent Poor 43 1 0 14 Jun 2023
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression Boyue Li Yuejie Chi 21 12 0 17 May 2023
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks Yunlong Mao Zexi Xin Zhenyu Li Jue Hong Qingyou Yang Sheng Zhong MIACV AAML 18 10 0 19 Apr 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning Tomoya Murata Taiji Suzuki 22 8 0 08 Feb 2023
Differentially Private Learning with Per-Sample Adaptive Clipping Tianyu Xia Shuheng Shen Su Yao Xinyi Fu Ke Xu Xiaolong Xu Xingbo Fu 30 15 0 01 Dec 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 28 32 0 24 Oct 2022
Beyond Uniform Lipschitz Condition in Differentially Private Optimization Rudrajit Das Satyen Kale Zheng Xu Tong Zhang Sujay Sanghavi 22 17 0 21 Jun 2022
Time-series Transformer Generative Adversarial Networks Padmanaba Srinivasan William J. Knottenbelt AI4TS 21 13 0 23 May 2022
Learning to Censor by Noisy Sampling Ayush Chopra Abhinav Java Abhishek Singh Vivek Sharma Ramesh Raskar 3DPC 10 0 0 23 Mar 2022
DP-FP: Differentially Private Forward Propagation for Large Models Jian Du Haitao Mi 19 5 0 29 Dec 2021
Adaptive Differentially Private Empirical Risk Minimization Xiaoxia Wu Lingxiao Wang Irina Cristali Quanquan Gu Rebecca Willett 24 6 0 14 Oct 2021