Machine Learning Models that Remember Too Much

Machine Learning Models that Remember Too Much

22 September 2017

Thomas Ristenpart

Vitaly Shmatikov

Papers citing "Machine Learning Models that Remember Too Much"

17 / 217 papers shown

Title
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions Shaohua Li Kaiping Xue Chenkai Ding Xindi Gao David S. L. Wei Tao Wan F. Wu 22 67 0 20 Nov 2018
Auditing Data Provenance in Text-Generation Models Congzheng Song Vitaly Shmatikov MLAU 11 17 0 01 Nov 2018
CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information L. Batina S. Bhasin Dirmanto Jap S. Picek AAML 11 65 0 22 Oct 2018
Algorithms that Remember: Model Inversion Attacks and Data Protection Law Michael Veale Reuben Binns L. Edwards 16 191 0 12 Jul 2018
Privacy-preserving Machine Learning through Data Obfuscation Tianwei Zhang Zecheng He R. Lee 17 79 0 05 Jul 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 13 1,874 0 02 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 36 928 0 04 Jun 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 78 1,455 0 10 May 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
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 89 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
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
Towards Measuring Membership Privacy Yunhui Long Vincent Bindschaedler Carl A. Gunter 16 85 0 25 Dec 2017
Ethical Challenges in Data-Driven Dialogue Systems Peter Henderson Koustuv Sinha Nicolas Angelard-Gontier Nan Rosemary Ke G. Fried Ryan J. Lowe Joelle Pineau 40 168 0 24 Nov 2017
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting Samuel Yeom Irene Giacomelli Matt Fredrikson S. Jha MIACV 23 39 0 05 Sep 2017