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LOGAN: Membership Inference Attacks Against Generative Models

22 May 2017

Jamie Hayes

Luca Melis

G. Danezis

Emiliano De Cristofaro

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Papers citing "LOGAN: Membership Inference Attacks Against Generative Models"

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Title
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage? David Amebley Sayanton Dibbo AAML 172 0 0 24 Nov 2025
Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering Grace Byun S. Lee Nayoung Choi Jinho D. Choi 292 0 0 18 Apr 2025
UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data Achintha Wijesinghe Songyang Zhang Siyu Qi Zhi Ding FedML 217 3 0 10 Aug 2023
PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy Achintha Wijesinghe Songyang Zhang Zhi Ding FedML 161 9 0 19 May 2023
Differentially Private Diffusion Models Generate Useful Synthetic Images Sahra Ghalebikesabi Leonard Berrada Sven Gowal Ira Ktena Robert Stanforth Jamie Hayes Soham De Samuel L. Smith Olivia Wiles Borja Balle DiffM 246 92 0 27 Feb 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine LearningIEEE Symposium on Security and Privacy (IEEE S&P), 2022 A. Salem Giovanni Cherubin David Evans Boris Köpf Andrew Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 374 55 0 21 Dec 2022
Amplifying Membership Exposure via Data PoisoningNeural Information Processing Systems (NeurIPS), 2022 Yufei Chen Chao Shen Yun Shen Cong Wang Yang Zhang AAML 285 42 0 01 Nov 2022
Membership Inference Attacks by Exploiting Loss TrajectoryConference on Computer and Communications Security (CCS), 2022 Yiyong Liu Subrat Kishore Dutta Michael Backes Yang Zhang 235 145 0 31 Aug 2022
Auditing Membership Leakages of Multi-Exit NetworksConference on Computer and Communications Security (CCS), 2022 Zheng Li Yiyong Liu Xinlei He Ning Yu Michael Backes Yang Zhang AAML 187 46 0 23 Aug 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models Xinlei He Zheng Li Weilin Xu Cory Cornelius Yang Zhang MIACV 203 27 0 22 Aug 2022
Canary Extraction in Natural Language Understanding ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Rahil Parikh Christophe Dupuy Rahul Gupta 137 29 0 25 Mar 2022
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 416 62 0 01 Dec 2021
Property Inference Attacks Against GANsNetwork and Distributed System Security Symposium (NDSS), 2021 Junhao Zhou Yufei Chen Chao Shen Yang Zhang AAML MIACV 244 66 0 15 Nov 2021
Membership Inference Attacks Against Recommender Systems Minxing Zhang Zhaochun Ren Zihan Wang Sudipta Singha Roy Zhumin Chen Pengfei Hu Yang Zhang MIACV AAML 154 115 0 16 Sep 2021
An Efficient DP-SGD Mechanism for Large Scale NLP ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Christophe Dupuy Radhika Arava Rahul Gupta Anna Rumshisky SyDa 263 46 0 14 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 240 84 0 04 Jul 2021
Membership Inference Attacks on Knowledge Graphs Yu Wang Lifu Huang Philip S. Yu Lichao Sun MIACV 229 18 0 16 Apr 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks Xinlei He Rui Wen Yixin Wu Michael Backes Yun Shen Yang Zhang 212 114 0 10 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive LearningConference on Computer and Communications Security (CCS), 2021 Xinlei He Yang Zhang 255 58 0 08 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning ModelsUSENIX Security Symposium (USENIX Security), 2021 Yugeng Liu Rui Wen Xinlei He A. Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang AAML 198 152 0 04 Feb 2021
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversaryConference on Information Technology for Social Good (ITSG), 2021 Jean-Francois Rajotte Soumendu Sundar Mukherjee Caleb Robinson Anthony Ortiz Christopher West J. L. Ferres R. Ng FedML MedIm 316 41 0 18 Jan 2021
TransMIA: Membership Inference Attacks Using Transfer Shadow TrainingIEEE International Joint Conference on Neural Network (IJCNN), 2020 Seira Hidano Takao Murakami Yusuke Kawamoto MIACV 251 16 0 30 Nov 2020
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models A. Salem Yannick Sautter Michael Backes Mathias Humbert Yang Zhang AAML SILM AI4CE 131 40 0 06 Oct 2020
Private data sharing between decentralized users through the privGAN architecture Jean-Francois Rajotte R. Ng FedML 154 3 0 14 Sep 2020
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning Yang Zou Zhikun Zhang Michael Backes Yang Zhang MIACV 110 33 0 10 Sep 2020
When Machine Unlearning Jeopardizes PrivacyConference on Computer and Communications Security (CCS), 2020 Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 268 284 0 05 May 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 404 148 0 25 Apr 2020
A Framework for Evaluating Gradient Leakage Attacks in Federated Learning Wenqi Wei Ling Liu Margaret Loper Ka-Ho Chow Mehmet Emre Gursoy Stacey Truex Yanzhao Wu FedML 235 162 0 22 Apr 2020
Dynamic Backdoor Attacks Against Machine Learning ModelsEuropean Symposium on Security and Privacy (EuroS&P), 2020 A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 306 305 0 07 Mar 2020
DP-CGAN: Differentially Private Synthetic Data and Label Generation Reihaneh Torkzadehmahani Peter Kairouz B. Paten SyDa 243 263 0 27 Jan 2020
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 241 15 0 28 Nov 2019
Privacy Leakage Avoidance with Switching EnsemblesIEEE Military Communications Conference (MILCOM), 2019 R. Izmailov Peter Lin Chris Mesterharm S. Basu 127 2 0 18 Nov 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial ExamplesConference on Computer and Communications Security (CCS), 2019 Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 341 435 0 23 Sep 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership InferenceInternational Conference on Machine Learning (ICML), 2019 Alexandre Sablayrolles Matthijs Douze Yann Ollivier Cordelia Schmid Edouard Grave MIACV 189 418 0 29 Aug 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy ProtectionNeural Information Processing Systems (NeurIPS), 2019 Bingzhe Wu Shiwan Zhao Chaochao Chen Haoyang Xu Li Wang Xiaolu Zhang Guangyu Sun Jun Zhou 158 45 0 21 Aug 2019
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership InferenceUSENIX Security Symposium (USENIX Security), 2019 Klas Leino Matt Fredrikson MIACV 298 307 0 27 Jun 2019
Reconstruction and Membership Inference Attacks against Generative ModelsProceedings on Privacy Enhancing Technologies (PoPETs), 2019 Benjamin Hilprecht Martin Härterich Daniel Bernau AAML MIACV 178 218 0 07 Jun 2019
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System? Sorami Hisamoto Matt Post Kevin Duh MIACV SLR 228 121 0 11 Apr 2019
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning A. Salem Apratim Bhattacharyya Michael Backes Mario Fritz Yang Zhang FedML AAML MIACV 292 279 0 01 Apr 2019
Measuring Membership Privacy on Aggregate Location Time-Series Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro 156 26 0 20 Feb 2019
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV AAML 192 274 0 03 Dec 2018
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Peng Kuang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 418 869 0 03 Dec 2018
Auditing Data Provenance in Text-Generation Models Congzheng Song Vitaly Shmatikov MLAU 182 18 0 01 Nov 2018
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets Alexandre Sablayrolles Matthijs Douze Cordelia Schmid Edouard Grave 115 18 0 17 Sep 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service L. Hanzlik Yang Zhang Kathrin Grosse A. Salem Maximilian Augustin Michael Backes Mario Fritz OffRL 235 113 0 01 Aug 2018
Privacy-preserving Machine Learning through Data Obfuscation Tianwei Zhang Zecheng He R. Lee 206 85 0 05 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 547 1,067 0 04 Jun 2018
Performing Co-Membership Attacks Against Deep Generative Models Kin Sum Liu Chaowei Xiao Yue Liu Zhi-Xuan Liu AAML MIACV 255 63 0 24 May 2018
Siamese Generative Adversarial Privatizer for Biometric DataAsian Conference on Computer Vision (ACCV), 2018 Witold Oleszkiewicz Peter Kairouz Karol J. Piczak Ram Rajagopal Tomasz Trzciñski AAML 295 16 0 23 Apr 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 387 966 0 03 Mar 2018