v1v2 (latest)

Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 2,788 papers shown

Title
On provable privacy vulnerabilities of graph representations Ruofan Wu Guanhua Fang Qiying Pan Mingyang Zhang Tengfei Liu Weiqiang Wang AAML 71 0 0 06 Feb 2024
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation Ossi Raisa Hibiki Ito Antti Honkela 90 6 0 06 Feb 2024
Regulation Games for Trustworthy Machine Learning Mohammad Yaghini Patty Liu Franziska Boenisch Nicolas Papernot FaML 63 2 0 05 Feb 2024
On the Impact of Output Perturbation on Fairness in Binary Linear Classification Vitalii Emelianov Michael Perrot FaML 102 0 0 05 Feb 2024
Spin: An Efficient Secure Computation Framework with GPU Acceleration Wuxuan Jiang Xiangjun Song Shenbai Hong Haijun Zhang Wenxin Liu Bo Zhao Wei Xu Yi Li 75 1 0 04 Feb 2024
Federated Learning with Differential Privacy Adrien Banse Jan Kreischer Xavier Oliva i Jürgens FedML 13 2 0 03 Feb 2024
Unlearnable Examples For Time Series Yujing Jiang Xingjun Ma S. Erfani James Bailey AI4TS 95 1 0 03 Feb 2024
Building Guardrails for Large Language Models Yizhen Dong Ronghui Mu Gao Jin Yi Qi Jinwei Hu Xingyu Zhao Jie Meng Wenjie Ruan Xiaowei Huang OffRL 157 32 0 02 Feb 2024
Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients Guangfeng Yan Shanxiang Lyu Hanxu Hou Zhiyong Zheng Linqi Song FedML 24 2 0 02 Feb 2024
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization Arezoo Rajabi Reeya Pimple Aiswarya Janardhanan Surudhi Asokraj Bhaskar Ramasubramanian Radha Poovendran 83 0 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 135 21 0 02 Feb 2024
Survey of Privacy Threats and Countermeasures in Federated Learning M. Hayashitani Junki Mori Isamu Teranishi FedML 113 1 0 01 Feb 2024
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features Aku Kammonen Lisi Liang Anamika Pandey Raúl Tempone 89 3 0 01 Feb 2024
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data Cong Fang Adam Dziedzic Lin Zhang Laura Oliva A. Verma Fahad Razak Nicolas Papernot Bo Wang OOD 63 15 0 31 Jan 2024
Evolving privacy: drift parameter estimation for discretely observed i.i.d. diffusion processes under LDP Chiara Amorino A. Gloter Hélene Halconruy 65 1 0 31 Jan 2024
Security and Privacy Challenges of Large Language Models: A Survey B. Das M. H. Amini Yanzhao Wu PILM ELM 147 147 0 30 Jan 2024
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 100 7 0 29 Jan 2024
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features Lynn Chua Qiliang Cui Badih Ghazi Charlie Harrison Pritish Kamath ... Pasin Manurangsi Krishnagiri Narra Amer Sinha A. Varadarajan Chiyuan Zhang AAML 100 5 0 26 Jan 2024
An Algorithm for Streaming Differentially Private Data Girish Kumar Thomas Strohmer Roman Vershynin 92 2 0 26 Jan 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 124 40 0 25 Jan 2024
Randomized Response with Gradual Release of Privacy Budget Mingen Pan 91 1 0 25 Jan 2024
Embedding Attack Project (Work Report) Jiameng Pu Zafar Takhirov 64 1 0 24 Jan 2024
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection Lucas Lange Nils Wenzlitschke Erhard Rahm 62 9 0 24 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 106 3 0 22 Jan 2024
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training Rongwu Xu Zhixuan Fang FedML 78 0 0 21 Jan 2024
Memorization in Self-Supervised Learning Improves Downstream Generalization Wenhao Wang Muhammad Ahmad Kaleem Adam Dziedzic Michael Backes Nicolas Papernot Franziska Boenisch SSL 100 11 0 19 Jan 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien Haoyu Wang Ziang Chen Pan Li MU 148 17 0 18 Jan 2024
Predominant Aspects on Security for Quantum Machine Learning: Literature Review Nicola Franco Alona Sakhnenko Leon Stolpmann Daniel Thuerck Fabian Petsch Annika Rüll J. M. Lorenz 74 11 0 15 Jan 2024
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning William Watkins Heehwan Wang Sang-Peel Bae Huan-Hsin Tseng Jiook Cha Samuel Yen-Chi Chen Shinjae Yoo 44 3 0 15 Jan 2024
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models Shiming Wang Zhe Ji Liyao Xiang Hao Zhang Xinbing Wang Cheng Zhou Yue Liu 91 4 0 14 Jan 2024
Qrlew: Rewriting SQL into Differentially Private SQL Nicolas Grislain Paul Roussel Victoria de Sainte Agathe 67 1 0 11 Jan 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems Tianyu Cui Yanling Wang Chuanpu Fu Yong Xiao Sijia Li ... Junwu Xiong Xinyu Kong ZuJie Wen Ke Xu Qi Li 168 65 0 11 Jan 2024
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks Haonan Shi Ouyang Tu An Wang 124 1 0 10 Jan 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization Xinyu Tang Ashwinee Panda Milad Nasr Saeed Mahloujifar Prateek Mittal 224 27 0 09 Jan 2024
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning Ke Zhang Lichao Sun Bolin Ding Siu-Ming Yiu Carl Yang FedML 84 12 0 09 Jan 2024
PosCUDA: Position based Convolution for Unlearnable Audio Datasets V. Gokul Shlomo Dubnov SSL 87 3 0 04 Jan 2024
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems Iker Perez Jason Wong Piotr Skalski Stuart Burrell Richard Mortier Derek McAuley David Sutton FedML 58 1 0 03 Jan 2024
Efficient Sparse Least Absolute Deviation Regression with Differential Privacy Weidong Liu Xiaojun Mao Xiaofei Zhang Xin Zhang 84 2 0 02 Jan 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 117 6 0 02 Jan 2024
Facebook Report on Privacy of fNIRS data Md. Imran Hossen Sai Venkatesh Chilukoti Liqun Shan Vijay Srinivas Tida X. Hei 62 0 0 01 Jan 2024
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners Rachel Redberg Antti Koskela Yu-Xiang Wang 246 6 0 31 Dec 2023
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning Xiao-Yang Liu Rongyi Zhu Daochen Zha Jiechao Gao Shan Zhong Matt White Meikang Qiu 92 26 0 29 Dec 2023
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Pratibha Kumari Joohi Chauhan Afshin Bozorgpour Boqiang Huang Reza Azad Dorit Merhof 122 11 0 28 Dec 2023
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning Hanlin Gu Xinyuan Zhao Gongxi Zhu Yuxing Han Yan Kang Lixin Fan Qiang Yang FedML 81 1 0 27 Dec 2023
Robust Stochastically-Descending Unrolled Networks Samar Hadou Navid Naderializadeh Alejandro Ribeiro 135 4 0 25 Dec 2023
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift Pratiksha Thaker Amrith Rajagopal Setlur Zhiwei Steven Wu Virginia Smith 108 2 0 24 Dec 2023
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 88 5 0 22 Dec 2023
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) Xingyuan Zhao Fang Liu 72 0 0 20 Dec 2023
A self-attention-based differentially private tabular GAN with high data utility Zijian Li Zhihui Wang 62 1 0 20 Dec 2023
Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning Keyi Ju Xiaoqi Qin Hui Zhong Xinyue Zhang Miao Pan Baoling Liu 34 3 0 18 Dec 2023