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Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 2,788 papers shown

Title
Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare Navid Seidi Satyaki Roy Sajal Das FedML 98 0 0 22 May 2025
Verifying Differentially Private Median Estimation Hyukjun Kwon Chenglin Fan 76 0 0 22 May 2025
Privacy-Aware Cyberterrorism Network Analysis using Graph Neural Networks and Federated Learning Anas Ali Mubashar Husain Peter Hans 34 0 0 22 May 2025
Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy Ye Zheng Sumita Mishra Yidan Hu 68 0 0 21 May 2025
A Federated Splitting Framework for LLMs: Security, Efficiency, and Adaptability Zishuai Zhang Hainan Zhang JiaYing Zheng Ziwei Wang Yongxin Tong Jin Dong Zhiming Zheng FedML 81 0 0 21 May 2025
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression Tong Cheng Fu Jie Xinpeng Ling Huifa Li Zhili Chen AAML FedML 71 0 0 21 May 2025
Laplace Sample Information: Data Informativeness Through a Bayesian Lens Johannes Kaiser Kristian Schwethelm Daniel Rueckert Georgios Kaissis 56 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 85 1 0 20 May 2025
Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data Andre Catarino Rui Melo Rui Abreu Luís Cruz DiffM 46 0 0 20 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 118 0 0 19 May 2025
DynaNoise: Dynamic Probabilistic Noise Injection for Defending Against Membership Inference Attacks Javad Forough Hamed Haddadi AAML 110 0 0 19 May 2025
Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy Jiahao Xu Rui Hu Olivera Kotevska FedML 71 0 0 19 May 2025
Private Statistical Estimation via Truncation Manolis Zampetakis Felix Zhou 123 0 0 18 May 2025
SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding Peihua Mai Youlong Ding Ziyan Lyu Minxin Du Yan Pang FedML 83 0 0 18 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 119 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 200 0 0 16 May 2025
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 171 1 0 15 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 84 0 0 15 May 2025
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 82 0 0 14 May 2025
Improved Algorithms for Differentially Private Language Model Alignment Keyu Chen Hao Tang Qinglin Liu Yizhao Xu 67 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 58 0 0 13 May 2025
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations Benjamin Westrich 40 0 0 13 May 2025
Empirical Analysis of Asynchronous Federated Learning on Heterogeneous Devices: Efficiency, Fairness, and Privacy Trade-offs Samaneh Mohammadi Iraklis Symeonidis Ali Balador Francesco Flammini FedML 46 0 0 11 May 2025
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks Xuzhao Li Jingyi Wang Xiaohan Yuan Peixin Zhang AAML MU 137 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 104 0 0 10 May 2025
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy Nicolas Küchler Alexander Viand Hidde Lycklama Anwar Hithnawi 60 0 0 10 May 2025
Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy Rushabh Solanki Meghana Bhange Ulrich Aïvodji Elliot Creager 65 0 0 09 May 2025
Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models Krti Tallam 83 2 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 127 0 0 09 May 2025
Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation Abdelrahman Abouelenin M. Abdelrehim Raffy Fahim Amr Hendy Mohamed Afify 61 0 0 08 May 2025
Spectral and Temporal Denoising for Differentially Private Optimization Hyeju Shin Kyudan Jung Seongwon Yun Juyoung Yun 117 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 88 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 95 4 0 03 May 2025
Bilateral Differentially Private Vertical Federated Boosted Decision Trees Bokang Zhang Zhikun Zhang Haodong Jiang Yang Liu Lihao Zheng Yuxiao Zhou Shuaiting Huang Junfeng Wu FedML 141 0 0 30 Apr 2025
Bipartite Randomized Response Mechanism for Local Differential Privacy Shun Zhang Hai Zhu Zhili Chen N. Xiong 76 0 0 29 Apr 2025
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks? Hao Du Shang Liu Yang Cao AAML 153 0 0 28 Apr 2025
Heavy-Tailed Privacy: The Symmetric alpha-Stable Privacy Mechanism Christopher Zawacki Eyad H. Abed 76 1 0 25 Apr 2025
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics Yifeng Mao Bozhidar Stevanoski Yves-Alexandre de Montjoye 106 0 0 25 Apr 2025
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation Rob Romijnders Stefanos Laskaridis Ali Shahin Shamsabadi Hamed Haddadi 144 0 0 25 Apr 2025
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence Edward Collins Ratun Rahman Michel Wang FedML 83 0 0 24 Apr 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... Jiajian Li Xiaozhou Ye Ye Ouyang Qiang Yang Yanzhe Zhang ALM 480 2 0 24 Apr 2025
Private Federated Learning using Preference-Optimized Synthetic Data Charlie Hou Mei-Yu Wang Yige Zhu Daniel Lazar Giulia Fanti FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 205 3 0 23 Apr 2025
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 149 0 0 23 Apr 2025
OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning Sindhuja Madabushi A. Khan Haider Ali Jin-Hee Cho FedML VLM 166 0 0 22 Apr 2025
How Private is Your Attention? Bridging Privacy with In-Context Learning Soham Bonnerjee Zhen Wei Yeon Anna Asch Sagnik Nandy Promit Ghosal 133 0 0 22 Apr 2025
DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMs Tamim Al Mahmud N. Jebreel Josep Domingo-Ferrer David Sánchez MU 75 0 0 18 Apr 2025
Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation Samuel Maddock Shripad Gade Graham Cormode Will Bullock 119 1 0 15 Apr 2025
ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning Ruochen Jin Boning Tong Shu Yang Bojian Hou Li Shen 127 0 0 15 Apr 2025
Differentially Private 2D Human Pose Estimation Kaushik Bhargav Sivangi Idris Zakariyya Paul Henderson Fani Deligianni 461 0 0 14 Apr 2025
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP L. Zhang Yue Li AI4CE 79 2 0 13 Apr 2025