Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 1,098 papers shown

Title
Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy Ye Zheng Sumita Mishra Yidan Hu 7 0 0 21 May 2025
Privacy Preserving Conversion Modeling in Data Clean Room Kungang Li Xiangyi Chen Ling Leng Jiajing Xu Jiankai Sun Behnam Rezaei 12 1 0 20 May 2025
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy Jiahao Xu Rui Hu Olivera Kotevska FedML 21 0 0 19 May 2025
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA Seanie Lee Sangwoo Park Dong Bok Lee Dominik Wagner Haebin Seong Tobias Bocklet Juho Lee Sung Ju Hwang FedML 12 0 0 19 May 2025
Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness Hanyu Duan Yi Yang Ahmed Abbasi Kar Yan Tam MU OnRL 37 0 0 16 May 2025
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI Meghali Nandi Arash Shaghaghi Nazatul Haque Sultan Gustavo Batista Raymond K. Zhao Sanjay Jha AAML 12 0 0 16 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 26 0 0 15 May 2025
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 39 0 0 14 May 2025
Improved Algorithms for Differentially Private Language Model Alignment Keyu Chen Hao Tang Qinglin Liu Yizhao Xu 33 0 0 13 May 2025
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations Benjamin Westrich 22 0 0 13 May 2025
On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction Fatima Ezzeddine Rinad Akel Ihab Sbeity Silvia Giordano Marc Langheinrich Omran Ayoub SILM 39 0 0 13 May 2025
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks Xuzhao Li Jingyi Wang Xiaohan Yuan Peixin Zhang Zhanyue Qin Peng Kuang Kui Ren AAML MU 52 0 0 10 May 2025
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy Nicolas Küchler Alexander Viand Hidde Lycklama Anwar Hithnawi 31 0 0 10 May 2025
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Zehan Zhu Yan Huang Xin Wang Shouling Ji Jinming Xu 31 0 0 10 May 2025
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy Rushabh Solanki Meghana Bhange Ulrich Aïvodji Elliot Creager 36 0 0 09 May 2025
Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models Krti Tallam 31 0 0 09 May 2025
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Yiwei Zhang R. Behnia A. Yavuz Reza Ebrahimi E. Bertino FedML 48 0 0 09 May 2025
Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation Abdelrahman Abouelenin M. Abdelrehim Raffy Fahim Amr Hendy Mohamed Afify 36 0 0 08 May 2025
Spectral and Temporal Denoising for Differentially Private Optimization Hyeju Shin Kyudan Jung Seongwon Yun Juyoung Yun 38 0 0 07 May 2025
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models Kuofeng Gao Yufei Zhu Yiming Li Jiawang Bai Yong-Liang Yang Zerui Li Shu-Tao Xia 41 0 0 05 May 2025
Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning Md. Tanzib Hosain Asif Zaman Md. Shahriar Sajid Shadman Sakeeb Khan Shanjida Akter 56 0 0 03 May 2025
Bilateral Differentially Private Vertical Federated Boosted Decision Trees Bokang Zhang Zhikun Zhang Haodong Jiang Yong-Jin Liu Lihao Zheng Yuxiao Zhou Shuaiting Huang Junfeng Wu FedML 82 0 0 30 Apr 2025
Bipartite Randomized Response Mechanism for Local Differential Privacy Shun Zhang Hai Zhu Zhili Chen N. Xiong 41 0 0 29 Apr 2025
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks? Hao Du Shang Liu Yang Cao AAML 55 0 0 28 Apr 2025
Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism Christopher Zawacki Eyad H. Abed 42 1 0 25 Apr 2025
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics Yifeng Mao Bozhidar Stevanoski Yves-Alexandre de Montjoye 52 0 0 25 Apr 2025
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation Rob Romijnders Stefanos Laskaridis Ali Shahin Shamsabadi Hamed Haddadi 69 0 0 25 Apr 2025
How Private is Your Attention? Bridging Privacy with In-Context Learning Soham Bonnerjee Zhen Wei Yeon Anna Asch Sagnik Nandy Promit Ghosal 53 0 0 22 Apr 2025
Differentially Private 2D Human Pose Estimation Kaushik Bhargav Sivangi Idris Zakariyya Paul Henderson F. Deligianni 214 0 0 14 Apr 2025
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP L. Zhang Yue Li AI4CE 35 1 0 13 Apr 2025
Your Image Generator Is Your New Private Dataset Nicolo Resmini Eugenio Lomurno Cristian Sbrolli Matteo Matteucci 31 0 0 06 Apr 2025
Benchmarking Federated Machine Unlearning methods for Tabular Data Chenguang Xiao Abhirup Ghosh Han Wu Shuo Wang Diederick van Thiel MU 47 0 0 01 Apr 2025
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation Chengkun Wei Weixian Li Chen Gong Wenzhi Chen 60 0 0 29 Mar 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 64 3 0 18 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 63 0 0 13 Mar 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 109 1 0 12 Mar 2025
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates Chuanyin Wang Yifei Zhang Neng Gao Qiang Luo FedML 71 0 0 12 Mar 2025
AgentDAM: Privacy Leakage Evaluation for Autonomous Web Agents Arman Zharmagambetov Chuan Guo Ivan Evtimov Maya Pavlova Ruslan Salakhutdinov Kamalika Chaudhuri 77 2 0 12 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 58 0 0 08 Mar 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang Rohan Sequeira Konstantinos Psounis SyDa 83 0 0 05 Mar 2025
Heterogeneity Matters even More in Distributed Learning: Study from Generalization Perspective Masoud Kavian Romain Chor Milad Sefidgaran Abdellatif Zaidi FedML 55 1 0 03 Mar 2025
CBW: Towards Dataset Ownership Verification for Speaker Verification via Clustering-based Backdoor Watermarking Yiming Li Kaiying Yan Shuo Shao Tongqing Zhai Shu-Tao Xia Zhanyue Qin D. Tao AAML 196 0 0 02 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 48 0 0 02 Mar 2025
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models Yu He Boheng Li L. Liu Zhongjie Ba Wei Dong Yiming Li Zhanyue Qin Kui Ren Chong Chen MIALM 74 0 0 26 Feb 2025
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning Guikun Chen Xu Zhang Yue Yang Wenguan Wang 47 0 0 26 Feb 2025
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses Hao Liang Feiyu Xiong Xinlei He Kaishun He Hong Xing 49 0 0 25 Feb 2025
Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning Raghav Singhal Kaustubh Ponkshe Rohit Vartak Lav R. Varshney Praneeth Vepakomma FedML 79 1 0 24 Feb 2025
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification Anan Kabaha Dana Drachsler-Cohen AAML 50 0 0 23 Feb 2025
Towards User-level Private Reinforcement Learning with Human Feedback Jingyang Zhang Mingxi Lei Meng Ding Mengdi Li Zihang Xiang Difei Xu Jinhui Xu Di Wang 47 0 0 22 Feb 2025
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments Kaixiang Zhao Lincan Li Kaize Ding Neil Zhenqiang Gong Yue Zhao Yushun Dong AAML 52 0 0 22 Feb 2025