Understanding Membership Inferences on Well-Generalized Learning Models

Understanding Membership Inferences on Well-Generalized Learning Models

13 February 2018

Vincent Bindschaedler

Papers citing "Understanding Membership Inferences on Well-Generalized Learning Models"

16 / 16 papers shown

Title
One-Shot Clustering for Federated Learning Maciej Krzysztof Zuziak Roberto Pellungrini Salvatore Rinzivillo FedML 129 0 0 06 Mar 2025
Rethinking Membership Inference Attacks Against Transfer Learning Yanwei Yue Jing Chen Qianru Fang Kun He Ziming Zhao Hao Ren Guowen Xu Yang Liu Yang Xiang 104 34 0 20 Jan 2025
Towards Measuring Membership Privacy Yunhui Long Vincent Bindschaedler Carl A. Gunter 49 85 0 25 Dec 2017
Learning Differentially Private Recurrent Language Models H. B. McMahan Daniel Ramage Kunal Talwar Li Zhang FedML 61 125 0 18 Oct 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 63 515 0 22 Sep 2017
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting Samuel Yeom Irene Giacomelli Matt Fredrikson S. Jha MIACV 82 39 0 05 Sep 2017
Robust Physical-World Attacks on Deep Learning Models Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Chaowei Xiao Atul Prakash Tadayoshi Kohno D. Song AAML 50 595 0 27 Jul 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 111 1,399 0 24 Feb 2017
Adversarial examples for generative models Jernej Kos Ian S. Fischer D. Song GAN 62 273 0 22 Feb 2017
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 133 1,731 0 08 Nov 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 228 4,103 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 97 1,803 0 09 Sep 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 189 6,101 0 01 Jul 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 233 11,145 0 14 Mar 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 233 14,893 1 21 Dec 2013
Differential Privacy: on the trade-off between Utility and Information Leakage Mário S. Alvim M. Andrés K. Chatzikokolakis P. Degano C. Palamidessi 89 146 0 27 Mar 2011