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
Energy-Latency Attacks via Sponge Poisoning Antonio Emanuele Cinà Ambra Demontis Battista Biggio Fabio Roli Marcello Pelillo SILM 60 29 0 14 Mar 2022
One Parameter Defense -- Defending against Data Inference Attacks via Differential Privacy Dayong Ye Sheng Shen Tianqing Zhu B. Liu Wanlei Zhou MIACV 16 62 0 13 Mar 2022
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It Dayong Ye Huiqiang Chen Shuai Zhou Tianqing Zhu Wanlei Zhou S. Ji MIACV 30 6 0 13 Mar 2022
Label-only Model Inversion Attack: The Attack that Requires the Least Information Dayong Ye Tianqing Zhu Shuai Zhou B. Liu Wanlei Zhou 27 4 0 13 Mar 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 37 26 0 10 Mar 2022
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation Saeed Ranjbar Alvar Lanjun Wang Jiangbo Pei Yong Zhang VLM 24 2 0 10 Mar 2022
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition Yi Chang Sofiane Laridi Zhao Ren Gregory Palmer Björn W. Schuller M. Fisichella FedML AAML 17 13 0 09 Mar 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks Fatemehsadat Mireshghallah Kartik Goyal Archit Uniyal Taylor Berg-Kirkpatrick Reza Shokri MIALM 32 152 0 08 Mar 2022
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning Wei-Ning Chen Christopher A. Choquette-Choo Peter Kairouz A. Suresh FedML 47 63 0 07 Mar 2022
Differentially Private Federated Learning with Local Regularization and Sparsification Anda Cheng Peisong Wang Xi Sheryl Zhang Jian Cheng FedML 28 71 0 07 Mar 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information Security Erick Galinkin SILM 21 6 0 06 Mar 2022
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes C. Li Andrea Cavallaro PICV 30 0 0 05 Mar 2022
An Efficient Subpopulation-based Membership Inference Attack Shahbaz Rezaei Xin Liu MIACV 32 5 0 04 Mar 2022
User-Level Membership Inference Attack against Metric Embedding Learning Guoyao Li Shahbaz Rezaei Xin Liu 34 23 0 04 Mar 2022
Label-Only Model Inversion Attacks via Boundary Repulsion Mostafa Kahla Si-An Chen H. Just R. Jia 35 75 0 03 Mar 2022
Robustness and Adaptation to Hidden Factors of Variation William Paul Philippe Burlina 29 0 0 03 Mar 2022
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members Ismat Jarin Birhanu Eshete 47 9 0 02 Mar 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu Masoud Hashemi C. Srinivasa MU 17 69 0 02 Mar 2022
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption George-Liviu Pereteanu A. Alansary Jonathan Passerat-Palmbach FedML 39 21 0 27 Feb 2022
Does Label Differential Privacy Prevent Label Inference Attacks? Ruihan Wu Jinfu Zhou Kilian Q. Weinberger Chuan Guo 30 15 0 25 Feb 2022
Privacy-preserving machine learning with tensor networks Alejandro Pozas-Kerstjens Senaida Hernández Santana José Ramón Pareja Monturiol Marco Castrillón López G. Scarpa Carlos E. González-Guillén David Pérez-García 9 5 0 24 Feb 2022
Bounding Membership Inference Anvith Thudi Ilia Shumailov Franziska Boenisch Nicolas Papernot 38 18 0 24 Feb 2022
Differentially Private Estimation of Heterogeneous Causal Effects Fengshi Niu Harsha Nori B. Quistorff R. Caruana Donald Ngwe A. Kannan CML 30 13 0 22 Feb 2022
Privacy Leakage of Adversarial Training Models in Federated Learning Systems Jingyang Zhang Yiran Chen Hai Helen Li FedML PICV 37 15 0 21 Feb 2022
Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees Franziska Boenisch Christopher Muhl Roy Rinberg Jannis Ihrig Adam Dziedzic 25 18 0 21 Feb 2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 27 37 0 21 Feb 2022
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy David Byrd Vaikkunth Mugunthan Antigoni Polychroniadou T. Balch FedML 11 5 0 20 Feb 2022
Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems Mohamad Fazelnia I. Khokhlov Mehdi Mirakhorli AAML 26 5 0 18 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 64 43 0 18 Feb 2022
Measuring Unintended Memorisation of Unique Private Features in Neural Networks J. Hartley Sotirios A. Tsaftaris 26 8 0 16 Feb 2022
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 34 585 0 15 Feb 2022
Defending against Reconstruction Attacks with Rényi Differential Privacy Pierre Stock I. Shilov Ilya Mironov Alexandre Sablayrolles AAML SILM MIACV 28 39 0 15 Feb 2022
Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 6 4 0 15 Feb 2022
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy Rui Hu Yanmin Gong Yuanxiong Guo FedML 32 65 0 15 Feb 2022
OLIVE: Oblivious Federated Learning on Trusted Execution Environment against the risk of sparsification Fumiyuki Kato Yang Cao Masatoshi Yoshikawa FedML 37 5 0 15 Feb 2022
Threats to Pre-trained Language Models: Survey and Taxonomy Shangwei Guo Chunlong Xie Jiwei Li Lingjuan Lyu Tianwei Zhang PILM 27 30 0 14 Feb 2022
Deduplicating Training Data Mitigates Privacy Risks in Language Models Nikhil Kandpal Eric Wallace Colin Raffel PILM MU 57 275 0 14 Feb 2022
What Does it Mean for a Language Model to Preserve Privacy? Hannah Brown Katherine Lee Fatemehsadat Mireshghallah Reza Shokri Florian Tramèr PILM 61 232 0 11 Feb 2022
Privacy-preserving Generative Framework Against Membership Inference Attacks Ruikang Yang Jianfeng Ma Yinbin Miao Xindi Ma 27 5 0 11 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 34 25 0 10 Feb 2022
Backpropagation Clipping for Deep Learning with Differential Privacy Timothy Stevens Ivoline C. Ngong David Darais Calvin Hirsch David Slater Joseph P. Near 24 9 0 10 Feb 2022
PPA: Preference Profiling Attack Against Federated Learning Chunyi Zhou Yansong Gao Anmin Fu Kai Chen Zhiyang Dai Zhi-Li Zhang Minhui Xue Yuqing Zhang AAML 30 22 0 10 Feb 2022
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning Minseok Ryu Youngdae Kim Kibaek Kim Ravi K. Madduri FedML 17 27 0 08 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning Ji Gao Sanjam Garg Mohammad Mahmoody Prashant Nalini Vasudevan MIACV AAML 19 22 0 07 Feb 2022
Membership Inference Attacks and Defenses in Neural Network Pruning Xiaoyong Yuan Lan Zhang AAML 29 44 0 07 Feb 2022
Red Teaming Language Models with Language Models Ethan Perez Saffron Huang Francis Song Trevor Cai Roman Ring John Aslanides Amelia Glaese Nat McAleese G. Irving AAML 18 613 0 07 Feb 2022
Over-the-Air Ensemble Inference with Model Privacy Selim F. Yilmaz Burak Hasircioglu Deniz Gunduz FedML 43 23 0 07 Feb 2022
Locally Differentially Private Distributed Deep Learning via Knowledge Distillation Di Zhuang Mingchen Li Jerome Chang FedML 11 2 0 07 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 25 2 0 07 Feb 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 55 18 0 05 Feb 2022