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
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces Ryan Webster Julien Rabin Loïc Simon F. Jurie CVBM PICV 21 33 0 13 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 197 0 12 Jul 2021
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks Kendra Albert Maggie K. Delano B. Kulynych Ramnath Kumar AAML 22 5 0 11 Jul 2021
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models Alexandra Peste Dan Alistarh Christoph H. Lampert MU 33 28 0 08 Jul 2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling Emily Dinan Gavin Abercrombie A. S. Bergman Shannon L. Spruit Dirk Hovy Y-Lan Boureau Verena Rieser 43 105 0 07 Jul 2021
RoFL: Robustness of Secure Federated Learning Hidde Lycklama Lukas Burkhalter Alexander Viand Nicolas Küchler Anwar Hithnawi FedML 42 57 0 07 Jul 2021
Differentially private federated deep learning for multi-site medical image segmentation Alexander Ziller Dmitrii Usynin Nicolas W. Remerscheid Moritz Knolle Marcus R. Makowski R. Braren Daniel Rueckert Georgios Kaissis FedML 19 22 0 06 Jul 2021
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems Ron Bitton Nadav Maman Inderjeet Singh Satoru Momiyama Yuval Elovici A. Shabtai 13 19 0 05 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 33 71 0 04 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 19 81 0 02 Jul 2021
Bi-Level Poisoning Attack Model and Countermeasure for Appliance Consumption Data of Smart Homes M. Billah A. Anwar Ziaur Rahman S. Galib 16 6 0 01 Jul 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 27 28 0 30 Jun 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang Xinming Zhang Wenke Lee Yuval Elovici Battista Biggio 38 81 0 30 Jun 2021
Privacy Budget Scheduling Tao Luo Mingen Pan Pierre Tholoniat Asaf Cidon Roxana Geambasu Mathias Lécuyer 21 31 0 29 Jun 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation Gavin Brown Marco Gaboardi Adam D. Smith Jonathan R. Ullman Lydia Zakynthinou FedML 30 48 0 24 Jun 2021
DeepAuditor: Distributed Online Intrusion Detection System for IoT devices via Power Side-channel Auditing Woosub Jung Yizhou Feng S. Khan Chunsheng Xin Danella Zhao Gang Zhou 9 6 0 24 Jun 2021
DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy? Archit Uniyal Rakshit Naidu Sasikanth Kotti Sahib Singh Patrik Kenfack Fatemehsadat Mireshghallah Andrew Trask 19 33 0 22 Jun 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks A. M. Sadeghzadeh Amir Mohammad Sobhanian F. Dehghan R. Jalili MIACV 25 7 0 21 Jun 2021
Membership Inference on Word Embedding and Beyond Saeed Mahloujifar Huseyin A. Inan Melissa Chase Esha Ghosh Marcello Hasegawa MIACV SILM 25 46 0 21 Jun 2021
Large Scale Private Learning via Low-rank Reparametrization Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu 29 101 0 17 Jun 2021
Privacy Assessment of Federated Learning using Private Personalized Layers T. Jourdan A. Boutet Carole Frindel FedML 47 7 0 15 Jun 2021
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images Vishal Asnani Xi Yin Tal Hassner Xiaoming Liu 28 66 0 15 Jun 2021
On the Convergence and Calibration of Deep Learning with Differential Privacy Zhiqi Bu Hua Wang Zongyu Dai Qi Long 33 28 0 15 Jun 2021
Counterfactual Explanations for Machine Learning: Challenges Revisited Sahil Verma John P Dickerson Keegan E. Hines LRM 21 27 0 14 Jun 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Tianlin Li Qi Zhu AAML 19 45 0 13 Jun 2021
Differentially Private Federated Learning via Inexact ADMM Minseok Ryu Kibaek Kim FedML 41 15 0 11 Jun 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher FedML 20 63 0 10 Jun 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 25 174 0 08 Jun 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 32 139 0 07 Jun 2021
Formalizing Distribution Inference Risks Anshuman Suri David Evans MIACV AAML 25 4 0 07 Jun 2021
Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Ilya Mironov Karthik Prasad I. Shilov Florian Tramèr 16 62 0 07 Jun 2021
On Memorization in Probabilistic Deep Generative Models G. V. D. Burg Christopher K. I. Williams TDI 25 59 0 06 Jun 2021
Tetrad: Actively Secure 4PC for Secure Training and Inference Nishat Koti A. Patra Rahul Rachuri Ajith Suresh 20 70 0 05 Jun 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang Qi Liu Zhenya Huang Hao Wang Chengqiang Lu Chuanren Liu Enhong Chen 31 68 0 05 Jun 2021
A Privacy-Preserving and Trustable Multi-agent Learning Framework Anudit Nagar Cuong Tran Ferdinando Fioretto 23 1 0 02 Jun 2021
Differential Privacy for Text Analytics via Natural Text Sanitization Xiang Yue Minxin Du Tianhao Wang Yaliang Li Huan Sun Sherman S. M. Chow 26 84 0 02 Jun 2021
Wireless Federated Learning with Limited Communication and Differential Privacy Amir Sonee Stefano Rini Yu-Chih Huang 32 10 0 01 Jun 2021
Privacy and Confidentiality in Process Mining -- Threats and Research Challenges Gamal Elkoumy Stephan A. Fahrenkrog-Petersen M. Sani A. Koschmider F. Mannhardt Saskia Nuñez Von Voigt Majid Rafiei Leopold von Waldthausen 28 41 0 01 Jun 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks Qian Chen Zilong Wang Wenjing Zhang Xiaodong Lin FedML 33 17 0 30 May 2021
Ten Quick Tips for Deep Learning in Biology Benjamin D. Lee A. Gitter Casey S. Greene S. Raschka F. Maguire ... Alexandr A Kalinin T. Triche Benjamin J. Lengerich Timothy J. Triche Jr S. Boca OOD 27 26 0 29 May 2021
Quantifying and Localizing Usable Information Leakage from Neural Network Gradients Fan Mo Anastasia Borovykh Mohammad Malekzadeh Soteris Demetriou Deniz Gündüz Hamed Haddadi FedML 29 3 0 28 May 2021
Causally Constrained Data Synthesis for Private Data Release Varun Chandrasekaran Darren Edge S. Jha Amit Sharma Cheng Zhang Shruti Tople SyDa 16 3 0 27 May 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 29 42 0 25 May 2021
OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS Guangquan Xu Guohua Xin Litao Jiao Jian Liu Shaoying Liu Meiqi Feng Xi Zheng AAML FedML 11 18 0 25 May 2021
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning Franziska Boenisch Philip Sperl Konstantin Böttinger AAML 26 13 0 17 May 2021
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification Julien Girard-Satabin Aymeric Varasse Marc Schoenauer Guillaume Charpiat Zakaria Chihani 22 1 0 17 May 2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey Xiaoyu Zhang Chao Chen Yi Xie Xiaofeng Chen Jun Zhang Yang Xiang FedML 27 7 0 13 May 2021
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks Yingzhe He Guozhu Meng Kai Chen Jinwen He Xingbo Hu MU 11 27 0 13 May 2021
Accuracy-Privacy Trade-off in Deep Ensemble: A Membership Inference Perspective Shahbaz Rezaei Zubair Shafiq Xin Liu FedML MIACV 40 13 0 12 May 2021
Bounding Information Leakage in Machine Learning Ganesh Del Grosso Georg Pichler C. Palamidessi Pablo Piantanida MIACV FedML 53 10 0 09 May 2021