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
Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack Raksha Ramakrishna Gyorgy Dán 27 2 0 08 Nov 2022
Privacy Meets Explainability: A Comprehensive Impact Benchmark S. Saifullah Dominique Mercier Adriano Lucieri Andreas Dengel Sheraz Ahmed 35 15 0 08 Nov 2022
Privacy-Preserving Models for Legal Natural Language Processing Ying Yin Ivan Habernal PILM AILaw 11 8 0 05 Nov 2022
Unintended Memorization and Timing Attacks in Named Entity Recognition Models Rana Salal Ali Benjamin Zi Hao Zhao Hassan Jameel Asghar Tham Nguyen Ian D. Wood Dali Kaafar AAML 34 3 0 04 Nov 2022
Revisiting Hyperparameter Tuning with Differential Privacy Youlong Ding Xueyang Wu 24 0 0 03 Nov 2022
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels Qiuchen Zhang Jing Ma Jian Lou Li Xiong Xiaoqian Jiang NoLa 21 0 0 03 Nov 2022
Privacy-preserving Non-negative Matrix Factorization with Outliers Swapnil Saha H. Imtiaz PICV 21 3 0 02 Nov 2022
User-Entity Differential Privacy in Learning Natural Language Models Phung Lai Nhathai Phan Tong Sun R. Jain Franck Dernoncourt Jiuxiang Gu Nikolaos Barmpalios FedML 43 0 0 01 Nov 2022
Amplifying Membership Exposure via Data Poisoning Yufei Chen Chao Shen Yun Shen Cong Wang Yang Zhang AAML 50 28 0 01 Nov 2022
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability Dipkamal Bhusal Rosalyn Shin Ajay Ashok Shewale M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi FAtt AAML 44 5 0 31 Oct 2022
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models Mauro Conti Jiaxin Li S. Picek MIALM 37 2 0 28 Oct 2022
Local Model Reconstruction Attacks in Federated Learning and their Uses Ilias Driouich Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML FedML 41 2 0 28 Oct 2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe Xiang Yue Huseyin A. Inan Xuechen Li Girish Kumar Julia McAnallen Hoda Shajari Huan Sun David Levitan Robert Sim 63 79 0 25 Oct 2022
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano Chuan Guo Alexandre Sablayrolles Maziar Sanjabi FedML 31 17 0 24 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 77 33 0 24 Oct 2022
Generalised Likelihood Ratio Testing Adversaries through the Differential Privacy Lens Georgios Kaissis Alexander Ziller Stefan Kolek Martinez de Azagra Daniel Rueckert 12 0 0 24 Oct 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling Junyuan Hong Lingjuan Lyu Jiayu Zhou Michael Spranger SyDa 45 6 0 23 Oct 2022
Boomerang: Local sampling on image manifolds using diffusion models Lorenzo Luzi P. Mayer Josue Casco-Rodriguez Ali Siahkoohi Richard G. Baraniuk DiffM 37 20 0 21 Oct 2022
New data poison attacks on machine learning classifiers for mobile exfiltration M. A. Ramírez Sangyoung Yoon Ernesto Damiani H. A. Hamadi C. Ardagna Nicola Bena Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 38 4 0 20 Oct 2022
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 37 12 0 20 Oct 2022
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers Guangsheng Zhang B. Liu Huan Tian Tianqing Zhu Ming Ding Wanlei Zhou PILM MIACV 30 5 0 20 Oct 2022
Learning to Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning Ruihan Wu Xiangyu Chen Chuan Guo Kilian Q. Weinberger FedML 20 26 0 19 Oct 2022
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries Yuxin Wen Arpit Bansal Hamid Kazemi Eitan Borgnia Micah Goldblum Jonas Geiping Tom Goldstein MIACV 39 30 0 19 Oct 2022
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP Yangyi Chen Hongcheng Gao Ganqu Cui Fanchao Qi Longtao Huang Zhiyuan Liu Maosong Sun SILM 32 46 0 19 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 56 5 0 19 Oct 2022
DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling Jianxin Wei Ergute Bao X. Xiao Yifan Yang 50 20 0 18 Oct 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D. Doan Yingjie Lao Ping Li 39 40 0 17 Oct 2022
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information Pan Li Peizhuo Lv Shenchen Zhu Ruigang Liang Kai Chen AAML MU 32 0 0 17 Oct 2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning R. Chourasia Neil Shah MU 21 40 0 17 Oct 2022
Industry-Scale Orchestrated Federated Learning for Drug Discovery M. Oldenhof G. Ács Balázs Pejó A. Schuffenhauer Nicholas Holway ... Yves Moreau Ola Engkvist Hugo Ceulemans Camille Marini M. Galtier FedML 43 38 0 17 Oct 2022
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability Zhao Song Yitan Wang Zheng Yu Licheng Zhang FedML 28 28 0 15 Oct 2022
A Closer Look at the Calibration of Differentially Private Learners Hanlin Zhang Xuechen Li Prithviraj Sen Salim Roukos Tatsunori Hashimoto 16 3 0 15 Oct 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 34 22 0 14 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation Y. Ben-Itzhak Helen Mollering Benny Pinkas T. Schneider Ajith Suresh Oleksandr Tkachenko S. Vargaftik Christian Weinert Hossein Yalame Avishay Yanai 43 6 0 13 Oct 2022
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy Han Wu Zilong Zhao L. Chen Aad van Moorsel FedML 28 7 0 13 Oct 2022
COLLIDER: A Robust Training Framework for Backdoor Data H. M. Dolatabadi S. Erfani C. Leckie AAML 25 7 0 13 Oct 2022
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning Zifeng Wang Jimeng Sun 27 30 0 11 Oct 2022
Rieoptax: Riemannian Optimization in JAX Saiteja Utpala Andi Han Pratik Jawanpuria Bamdev Mishra 26 3 0 10 Oct 2022
Differentially Private Deep Learning with ModelMix Hanshen Xiao Jun Wan S. Devadas 31 3 0 07 Oct 2022
PAC Privacy: Automatic Privacy Measurement and Control of Data Processing Hanshen Xiao S. Devadas 29 11 0 07 Oct 2022
Synthetic Dataset Generation for Privacy-Preserving Machine Learning Efstathia Soufleri Gobinda Saha Kaushik Roy DD 29 2 0 06 Oct 2022
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning Samuel Maddock Alexandre Sablayrolles Pierre Stock FedML 33 22 0 06 Oct 2022
Federated Boosted Decision Trees with Differential Privacy Samuel Maddock Graham Cormode Tianhao Wang Carsten Maple S. Jha FedML 50 29 0 06 Oct 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 49 38 0 06 Oct 2022
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints Virat Shejwalkar Arun Ganesh Rajiv Mathews Om Thakkar Abhradeep Thakurta 36 0 0 04 Oct 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 149 199 0 04 Oct 2022
Membership Inference Attacks Against Text-to-image Generation Models Yixin Wu Ning Yu Zheng Li Michael Backes Yang Zhang DiffM 27 66 0 03 Oct 2022
Composition of Differential Privacy & Privacy Amplification by Subsampling Thomas Steinke 79 51 0 02 Oct 2022
Ten Years after ImageNet: A 360° Perspective on AI Sanjay Chawla Preslav Nakov Ahmed Ali Wendy Hall Issa M. Khalil Xiaosong Ma Husrev Taha Sencar Ingmar Weber Michael Wooldridge Tingyue Yu 29 0 0 01 Oct 2022
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks Eleanor Clifford Ilia Shumailov Yiren Zhao Ross J. Anderson Robert D. Mullins 36 12 0 30 Sep 2022