Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,058 papers shown

Title
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing Wenxiao Wang Tianhao Wang Lun Wang Nanqing Luo Pan Zhou D. Song R. Jia 8 16 0 02 Mar 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu FedML SILM 94 111 0 25 Feb 2021
A Stochastic Optimization Framework for Fair Risk Minimization Andrew Lowy Sina Baharlouei Rakesh Pavan Meisam Razaviyayn Ahmad Beirami FaML 30 21 0 24 Feb 2021
Measuring Data Leakage in Machine-Learning Models with Fisher Information Awni Y. Hannun Chuan Guo Laurens van der Maaten FedML MIACV 15 54 0 23 Feb 2021
Federated $f$ -Differential Privacy Qinqing Zheng Shuxiao Chen Qi Long Weijie J. Su FedML 88 55 0 22 Feb 2021
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval Praneeth Vepakomma Julia Balla Ramesh Raskar 22 4 0 22 Feb 2021
Obfuscation of Images via Differential Privacy: From Facial Images to General Images W. Croft Jörg-Rüdiger Sack W. Shi PICV 33 22 0 19 Feb 2021
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting Ismat Jarin Birhanu Eshete 26 19 0 19 Feb 2021
Privacy-Preserving Kickstarting Deep Reinforcement Learning with Privacy-Aware Learners Parham Gohari Bo Chen Bo Wu Matthew T. Hale Ufuk Topcu 17 3 0 18 Feb 2021
Proactive DP: A Multple Target Optimization Framework for DP-SGD Marten van Dijk Nhuong V. Nguyen Toan N. Nguyen Lam M. Nguyen Phuong Ha Nguyen 30 0 0 17 Feb 2021
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up? R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan 33 30 0 16 Feb 2021
Machine Learning Based Cyber Attacks Targeting on Controlled Information: A Survey Yuantian Miao Chao Chen Lei Pan Qing-Long Han Jun Zhang Yang Xiang AAML 54 68 0 16 Feb 2021
Membership Inference Attacks are Easier on Difficult Problems Avital Shafran Shmuel Peleg Yedid Hoshen MIACV 22 16 0 15 Feb 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz Ziyu Liu Thomas Steinke FedML 49 232 0 12 Feb 2021
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent R. Chourasia Jiayuan Ye Reza Shokri FedML 30 69 0 11 Feb 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks Xinlei He Rui Wen Yixin Wu Michael Backes Yun Shen Yang Zhang 21 93 0 10 Feb 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 73 57 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 34 48 0 09 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 21 51 0 08 Feb 2021
On Utility and Privacy in Synthetic Genomic Data Bristena Oprisanu Georgi Ganev Emiliano De Cristofaro 30 13 0 05 Feb 2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections Zhiqi Bu Sivakanth Gopi Janardhan Kulkarni Y. Lee J. Shen U. Tantipongpipat FedML 44 41 0 05 Feb 2021
PredCoin: Defense against Query-based Hard-label Attack Junfeng Guo Yaswanth Yadlapalli Lothar Thiele Ang Li Cong Liu AAML 28 0 0 04 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Yugeng Liu Rui Wen Xinlei He A. Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang AAML 17 125 0 04 Feb 2021
LEAP: TrustZone Based Developer-Friendly TEE for Intelligent Mobile Apps Lizhi Sun Shuocheng Wang Hao Wu Yuhang Gong Fengyuan Xu Yunxin Liu Hao Han Sheng Zhong 27 9 0 04 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 101 955 0 03 Feb 2021
Decentralized Federated Learning Preserves Model and Data Privacy Thorsten Wittkopp Alexander Acker 19 20 0 01 Feb 2021
ADePT: Auto-encoder based Differentially Private Text Transformation Satyapriya Krishna Rahul Gupta Christophe Dupuy MIACV SILM 21 35 0 29 Jan 2021
Differential Privacy Meets Federated Learning under Communication Constraints Nima Mohammadi Jianan Bai Q. Fan Yifei Song Yuhao Yi Lingjia Liu FedML 25 28 0 28 Jan 2021
Dopamine: Differentially Private Federated Learning on Medical Data Mohammad Malekzadeh Burak Hasircioglu N. Mital K. Katarya M. E. Ozfatura Deniz Gündüz OOD FedML 39 51 0 27 Jan 2021
Property Inference From Poisoning Melissa Chase Esha Ghosh Saeed Mahloujifar MIACV 26 77 0 26 Jan 2021
Differentially Private SGD with Non-Smooth Losses Puyu Wang Yunwen Lei Yiming Ying Hai Zhang 18 28 0 22 Jan 2021
Understanding the Tradeoffs in Client-side Privacy for Downstream Speech Tasks Peter Wu Paul Pu Liang Jiatong Shi Ruslan Salakhutdinov Shinji Watanabe Louis-Philippe Morency 31 8 0 22 Jan 2021
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent Junyuan Hong Zhangyang Wang Jiayu Zhou 13 9 0 19 Jan 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 40 97 0 17 Jan 2021
Preserving Privacy in Personalized Models for Distributed Mobile Services Akanksha Atrey Prashant J. Shenoy David D. Jensen 11 2 0 14 Jan 2021
Training Data Leakage Analysis in Language Models Huseyin A. Inan Osman Ramadan Lukas Wutschitz Daniel Jones Victor Rühle James Withers Robert Sim MIACV PILM 37 9 0 14 Jan 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 156 190 0 13 Jan 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning Milad Nasr Shuang Song Abhradeep Thakurta Nicolas Papernot Nicholas Carlini MIACV FedML 82 216 0 11 Jan 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 47 15 0 08 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1) T. D. Nguyen Phillip Rieger Huili Chen Hossein Yalame Helen Mollering ... Azalia Mirhoseini S. Zeitouni F. Koushanfar A. Sadeghi T. Schneider AAML 32 26 0 06 Jan 2021
Model Extraction and Defenses on Generative Adversarial Networks Hailong Hu Jun Pang SILM MIACV 33 14 0 06 Jan 2021
IPLS : A Framework for Decentralized Federated Learning C. Pappas Dimitris Chatzopoulos S. Lalis M. Vavalis VLM 35 66 0 06 Jan 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 35 120 0 05 Jan 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 36 145 0 01 Jan 2021
KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models Yuta Nakamura S. Hanaoka Y. Nomura Naoto Hayashi O. Abe Shuntaro Yada Shoko Wakamiya Nara Institute of Science MIACV 30 8 0 31 Dec 2020
A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis Godwin Badu-Marfo Bilal Farooq Zachary Patterson 11 4 0 29 Dec 2020
Federated Unlearning Gaoyang Liu Xiaoqiang Ma Yang Yang Chen Wang Jiangchuan Liu MU 49 53 0 27 Dec 2020
Robustness, Privacy, and Generalization of Adversarial Training Fengxiang He Shaopeng Fu Bohan Wang Dacheng Tao 33 10 0 25 Dec 2020
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks Abhishek Singh Ayush Chopra Vivek Sharma Ethan Garza Emily Zhang Praneeth Vepakomma Ramesh Raskar 25 45 0 20 Dec 2020
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism Jiasi Weng Jian Weng Hongwei Huang Chengjun Cai Cong Wang FedML 19 28 0 19 Dec 2020