v1v2 (latest)

Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 2,788 papers shown

Title
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 88 14 0 12 Nov 2023
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent Lauren Watson Eric Gan Mohan Dantam Baharan Mirzasoleiman Rik Sarkar 63 1 0 12 Nov 2023
Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images B. Das M. H. Amini Yanzhao Wu 61 7 0 11 Nov 2023
Does Differential Privacy Prevent Backdoor Attacks in Practice? Fereshteh Razmi Jian Lou Li Xiong AAML 52 0 0 10 Nov 2023
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction Shanghao Shi Ning Wang Yang Xiao Chaoyu Zhang Yi Shi Y. T. Hou W. Lou 78 8 0 10 Nov 2023
The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning Elaheh Jafarigol Theodore Trafalis FedML 144 1 0 09 Nov 2023
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models Haoran Li Dadi Guo Donghao Li Wei Fan Qi Hu Xin Liu Chunkit Chan Duanyi Yao Yuan Yao Yangqiu Song PILM 115 25 0 07 Nov 2023
Input Reconstruction Attack against Vertical Federated Large Language Models Fei Zheng FedML 67 6 0 07 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 109 1 0 06 Nov 2023
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering Huifa Li Jie Fu Zhili Chen Xiaomin Yang Haitao Liu Xinpeng Ling 82 1 0 06 Nov 2023
Bounded and Unbiased Composite Differential Privacy Kai Zhang Yanjun Zhang Ruoxi Sun Pei-Wei Tsai M. Hassan Xingliang Yuan Minhui Xue Jinjun Chen 95 33 0 04 Nov 2023
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning Wenxuan Bao Francesco Pittaluga Vijay Kumar Vincent Bindschaedler 88 11 0 02 Nov 2023
Contextual Confidence and Generative AI Shrey Jain Zoe Hitzig Pamela Mishkin 116 4 0 02 Nov 2023
Instance-Specific Asymmetric Sensitivity in Differential Privacy David Durfee 116 1 0 02 Nov 2023
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training Jiacheng Li Ninghui Li Bruno Ribeiro 113 4 0 02 Nov 2023
Compression with Exact Error Distribution for Federated Learning Mahmoud Hegazy Rémi Leluc Cheuk Ting Li Hadrien Hendrikx FedML 68 11 0 31 Oct 2023
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks Jiayuan Ye Zhenyu Zhu Fanghui Liu Reza Shokri Volkan Cevher 95 13 0 31 Oct 2023
Verification of Neural Networks Local Differential Classification Privacy Roie Reshef Anan Kabaha Olga Seleznova Dana Drachsler-Cohen AAML 79 2 0 31 Oct 2023
Unlearn What You Want to Forget: Efficient Unlearning for LLMs Jiaao Chen Diyi Yang MU 121 168 0 31 Oct 2023
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$ -Differential Privacy Chendi Wang Buxin Su Jiayuan Ye Reza Shokri Weijie J. Su FedML 80 11 0 30 Oct 2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 50 1 0 30 Oct 2023
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data Mayana Pereira Meghana Kshirsagar Soumendu Sundar Mukherjee Rahul Dodhia J. L. Ferres Rafael de Sousa SyDa 85 13 0 30 Oct 2023
Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning Feng Wang Senem Velipasalar M. C. Gursoy 71 2 0 30 Oct 2023
On the accuracy and efficiency of group-wise clipping in differentially private optimization Zhiqi Bu Ruixuan Liu Yu Wang Sheng Zha George Karypis VLM 86 5 0 30 Oct 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 94 0 0 29 Oct 2023
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation Kunlin Cai Jinghuai Zhang Zhiqing Hong Will Shand Guang Wang Desheng Zhang Jianfeng Chi Yuan Tian 82 3 0 28 Oct 2023
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning Zheyuan Liu Guangyao Dou Yijun Tian Chunhui Zhang Eli Chien Ziwei Zhu MU 117 21 0 28 Oct 2023
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory Niloofar Mireshghallah Hyunwoo J. Kim Xuhui Zhou Yulia Tsvetkov Maarten Sap Reza Shokri Yejin Choi PILM 114 91 0 27 Oct 2023
Boosting Data Analytics With Synthetic Volume Expansion Xiaotong Shen Yifei Liu Rex Shen 118 3 0 27 Oct 2023
DP-SGD with weight clipping Antoine Barczewski Jan Ramon 143 1 0 27 Oct 2023
Privately Aligning Language Models with Reinforcement Learning Fan Wu Huseyin A. Inan A. Backurs Varun Chandrasekaran Janardhan Kulkarni Robert Sim 118 8 0 25 Oct 2023
Robust and Actively Secure Serverless Collaborative Learning Olive Franzese Adam Dziedzic Christopher A. Choquette-Choo Mark R. Thomas Muhammad Ahmad Kaleem Stephan Rabanser Cong Fang Somesh Jha Nicolas Papernot Xiao Wang OOD 83 2 0 25 Oct 2023
Privacy Amplification for Matrix Mechanisms Christopher A. Choquette-Choo Arun Ganesh Thomas Steinke Abhradeep Thakurta 86 11 0 24 Oct 2023
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models Yuanfeng Song Yuanqin He Xuefang Zhao Hanlin Gu Di Jiang Haijun Yang Lixin Fan Qiang Yang 93 6 0 24 Oct 2023
The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks Xiaoyi Chen Siyuan Tang Rui Zhu Shijun Yan Lei Jin Zihao Wang Liya Su Zhikun Zhang Wenyuan Xu Haixu Tang AAML PILM 78 28 0 24 Oct 2023
Private Learning with Public Features Walid Krichene Nicolas Mayoraz Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 72 8 0 24 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 195 12 0 24 Oct 2023
Learning Fair Representations with High-Confidence Guarantees Yuhong Luo Austin Hoag Philip S Thomas FaML AI4TS 201 1 0 23 Oct 2023
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy Yingyu Lin Yian Ma Yu-Xiang Wang Rachel Redberg Zhiqi Bu 92 4 0 23 Oct 2023
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs Elaheh Jafarigol Theodore Trafalis 87 7 0 19 Oct 2023
Privately Answering Queries on Skewed Data via Per Record Differential Privacy Jeremy Seeman William Sexton David Pujol Ashwin Machanavajjhala 74 4 0 19 Oct 2023
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining Kecen Li Chen Gong Zhixiang Li Yuzhong Zhao Xinwen Hou Tianhao Wang 109 11 0 19 Oct 2023
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial Examples Jun Liu Jiantao Zhou Jinyu Tian Weiwei Sun PICV 64 6 0 19 Oct 2023
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses Caelin Kaplan Chuan Xu Othmane Marfoq Giovanni Neglia Anderson Santana de Oliveira AAML 93 1 0 18 Oct 2023
Quantifying Privacy Risks of Prompts in Visual Prompt Learning Yixin Wu Rui Wen Michael Backes Pascal Berrang Mathias Humbert Yun Shen Yang Zhang AAML VPVLM 117 10 0 18 Oct 2023
Unintended Memorization in Large ASR Models, and How to Mitigate It Lun Wang Om Thakkar Rajiv Mathews 96 6 0 18 Oct 2023
Differentially Private Data Generation with Missing Data Shubhankar Mohapatra Jianqiao Zong F. Kerschbaum Xi He SyDa 85 1 0 17 Oct 2023
Disentangling the Linguistic Competence of Privacy-Preserving BERT Stefan Arnold Nils Kemmerzell Annika Schreiner 90 0 0 17 Oct 2023
From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling Aneesh Komanduri Xintao Wu Yongkai Wu Feng Chen CML OOD 135 11 0 17 Oct 2023
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks Erfan Shayegani Md Abdullah Al Mamun Yu Fu Pedram Zaree Yue Dong Nael B. Abu-Ghazaleh AAML 258 170 0 16 Oct 2023