Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

50 / 2,053 papers shown

Title
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 13 1,874 0 02 Jul 2018
Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning J. Dhaliwal S. Shintre AAML 23 15 0 27 Jun 2018
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 119 469 0 09 Jun 2018
Killing four birds with one Gaussian process: the relation between different test-time attacks Kathrin Grosse M. Smith Michael Backes AAML 16 2 0 06 Jun 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 36 926 0 04 Jun 2018
Performing Co-Membership Attacks Against Deep Generative Models Kin Sum Liu Chaowei Xiao Bo-wen Li Jie Gao AAML MIACV 16 58 0 24 May 2018
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks Jiefeng Chen Xi Wu Vaibhav Rastogi Yingyu Liang S. Jha AAML 20 22 0 20 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Tribhuvanesh Orekondy Seong Joon Oh Yang Zhang Bernt Schiele Mario Fritz PICV FedML 359 37 0 15 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 72 1,455 0 10 May 2018
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 72 148 0 01 May 2018
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution Raymond Cheng Fan Zhang Jernej Kos Warren He Nicholas Hynes Noah M. Johnson Ari Juels Andrew K. Miller D. Song 22 365 0 14 Apr 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski Alina Oprea Battista Biggio Chang-rui Liu Cristina Nita-Rotaru Bo-wen Li AAML 16 750 0 01 Apr 2018
Privacy-preserving Prediction Cynthia Dwork Vitaly Feldman 25 90 0 27 Mar 2018
Privacy Preserving Machine Learning: Threats and Solutions Mohammad Al-Rubaie Jerome Chang 11 332 0 27 Mar 2018
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks Tegjyot Singh Sethi M. Kantardzic J. Ryu AAML 15 11 0 24 Mar 2018
Chiron: Privacy-preserving Machine Learning as a Service T. Hunt Congzheng Song Reza Shokri Vitaly Shmatikov Emmett Witchel 11 199 0 15 Mar 2018
Malytics: A Malware Detection Scheme Mahmood Yousefi-Azar Len Hamey Vijay Varadharajan Shiping Chen 16 40 0 09 Mar 2018
Generating Artificial Data for Private Deep Learning Aleksei Triastcyn Boi Faltings 21 48 0 08 Mar 2018
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators Lingxiao Wei Bo Luo Yu LI Yannan Liu Qiang Xu FedML 14 198 0 05 Mar 2018
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 29 606 0 24 Feb 2018
Confidential Boosting with Random Linear Classifiers for Outsourced User-generated Data Sagar Sharma Keke Chen FedML 23 7 0 22 Feb 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 86 1,114 0 22 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient Communication Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He FedML 34 388 0 22 Feb 2018
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Miles Brundage S. Avin Jack Clark H. Toner P. Eckersley ... Owain Evans Michael Page Joanna J. Bryson Roman V. Yampolskiy Dario Amodei 20 693 0 20 Feb 2018
Stealing Hyperparameters in Machine Learning Binghui Wang Neil Zhenqiang Gong AAML 45 458 0 14 Feb 2018
Understanding Membership Inferences on Well-Generalized Learning Models Yunhui Long Vincent Bindschaedler Lei Wang Diyue Bu Xiaofeng Wang Haixu Tang Carl A. Gunter Kai Chen MIALM MIACV 15 223 0 13 Feb 2018
Flipped-Adversarial AutoEncoders Jiyi Zhang Hung Dang H. Lee E. Chang GAN 16 4 0 13 Feb 2018
Towards Measuring Membership Privacy Yunhui Long Vincent Bindschaedler Carl A. Gunter 14 85 0 25 Dec 2017
On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li Changyou Chen Hao Liu Lawrence Carin 41 38 0 25 Dec 2017
Differentially Private Federated Learning: A Client Level Perspective Robin C. Geyer T. Klein Moin Nabi FedML 37 1,279 0 20 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 27 1,610 0 19 Dec 2017
A Berkeley View of Systems Challenges for AI Ion Stoica D. Song Raluca A. Popa D. Patterson Michael W. Mahoney ... Joseph E. Gonzalez Ken Goldberg A. Ghodsi David Culler Pieter Abbeel 24 199 0 15 Dec 2017
CryptoDL: Deep Neural Networks over Encrypted Data Ehsan Hesamifard Hassan Takabi Mehdi Ghasemi 18 376 0 14 Nov 2017
Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Maximilian Augustin Bernt Schiele Mario Fritz AAML 281 3 0 06 Nov 2017
Learning Differentially Private Recurrent Language Models H. B. McMahan Daniel Ramage Kunal Talwar Li Zhang FedML 22 125 0 18 Oct 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 27 505 0 22 Sep 2017
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting Samuel Yeom Irene Giacomelli Matt Fredrikson S. Jha MIACV 20 39 0 05 Sep 2017
PassGAN: A Deep Learning Approach for Password Guessing Briland Hitaj Paolo Gasti G. Ateniese Fernando Perez-Cruz GAN 30 246 0 01 Sep 2017
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches Martín Abadi Ulfar Erlingsson Ian Goodfellow H. B. McMahan Ilya Mironov Nicolas Papernot Kunal Talwar Li Zhang 18 47 0 26 Aug 2017
Knock Knock, Who's There? Membership Inference on Aggregate Location Data Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro MIACV 19 265 0 21 Aug 2017
Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API Hossein Hosseini Baicen Xiao Andrew Clark Radha Poovendran AAML 16 24 0 14 Aug 2017
Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking Mostafa Dehghani H. Azarbonyad J. Kamps Maarten de Rijke FedML 24 9 0 24 Jul 2017
Machine Learning for Structured Clinical Data Brett K. Beaulieu-Jones 23 7 0 21 Jul 2017
A Survey on Resilient Machine Learning Atul Kumar S. Mehta OOD AAML 30 16 0 11 Jul 2017
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction Bin Liang Hongcheng Li Miaoqiang Su Xirong Li Wenchang Shi Xiaofeng Wang AAML 12 215 0 23 May 2017
LOGAN: Membership Inference Attacks Against Generative Models Jamie Hayes Luca Melis G. Danezis Emiliano De Cristofaro 11 104 0 22 May 2017
Evading Classifiers by Morphing in the Dark Hung Dang Yue Huang E. Chang AAML 18 121 0 22 May 2017
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks Edward Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 156 569 0 19 Mar 2017
Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking Erwin Quiring Dan Arp Konrad Rieck AAML 18 6 0 16 Mar 2017
Privacy-Preserving Personal Model Training S. S. Rodríguez Liang Wang Jianxin R. Zhao Richard Mortier Hamed Haddadi 11 23 0 01 Mar 2017