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The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

22 February 2018

Papers citing "The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks"

41 / 441 papers shown

Title
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 390 378 0 24 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 284 1,811 0 18 Mar 2020
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 164 137 0 10 Mar 2020
Towards Probabilistic Verification of Machine Unlearning David M. Sommer Liwei Song Sameer Wagh Prateek Mittal AAML 123 74 0 09 Mar 2020
Federating Recommendations Using Differentially Private Prototypes Mónica Ribero Jette Henderson Sinead Williamson H. Vikalo FedML 62 39 0 01 Mar 2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping Sanghyun Hong Varun Chandrasekaran Yigitcan Kaya Tudor Dumitras Nicolas Papernot AAML 88 137 0 26 Feb 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 104 266 0 24 Feb 2020
Differentially Private Set Union Sivakanth Gopi P. Gulhane Janardhan Kulkarni J. Shen Milad Shokouhi Sergey Yekhanin FedML 42 32 0 22 Feb 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 181 134 0 07 Feb 2020
CryptoSPN: Privacy-preserving Sum-Product Network Inference Amos Treiber Alejandro Molina Christian Weinert T. Schneider Kristian Kersting 63 10 0 03 Feb 2020
Model Extraction Attacks against Recurrent Neural Networks Tatsuya Takemura Naoto Yanai T. Fujiwara MLAU MIACV AAML 76 15 0 01 Feb 2020
Analyzing Information Leakage of Updates to Natural Language Models Santiago Zanella Béguelin Lukas Wutschitz Shruti Tople Victor Rühle Andrew Paverd O. Ohrimenko Boris Köpf Marc Brockschmidt ELM MIACV FedML PILM KELM 86 127 0 17 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 298 6,343 0 10 Dec 2019
Machine Unlearning Lucas Bourtoule Varun Chandrasekaran Christopher A. Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie Nicolas Papernot MU 200 890 0 09 Dec 2019
Security of Deep Learning Methodologies: Challenges and Opportunities Shahbaz Rezaei Xin Liu AAML 68 4 0 08 Dec 2019
Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning U. Tantipongpipat Chris Waites Digvijay Boob Amaresh Ankit Siva Rachel Cummings SyDa 97 31 0 06 Dec 2019
PAC learning with stable and private predictions Y. Dagan Vitaly Feldman 67 13 0 24 Nov 2019
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy Min Du R. Jia Basel Alomair AAML 80 177 0 16 Nov 2019
Revocable Federated Learning: A Benchmark of Federated Forest Yang Liu Zhuo Ma Ximeng Liu Zhuzhu Wang Siqi Ma Ken Ren FedML MU 73 11 0 08 Nov 2019
Enhancing the Privacy of Federated Learning with Sketching Zaoxing Liu Tian Li Virginia Smith Vyas Sekar FedML 67 22 0 05 Nov 2019
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition Mimansa Jaiswal E. Provost 111 76 0 29 Oct 2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs Kalpesh Krishna Gaurav Singh Tomar Ankur P. Parikh Nicolas Papernot Mohit Iyyer MIACV MLAU 156 201 0 27 Oct 2019
Weighted Distributed Differential Privacy ERM: Convex and Non-convex Yilin Kang Yong Liu Weiping Wang 70 10 0 23 Oct 2019
Actor Critic with Differentially Private Critic Jonathan Lebensold William L. Hamilton Borja Balle Doina Precup OffRL 45 9 0 14 Oct 2019
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 200 1,017 0 04 Oct 2019
Alleviating Privacy Attacks via Causal Learning Shruti Tople Amit Sharma A. Nori MIACV OOD 98 32 0 27 Sep 2019
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML Ashvin Agrawal Rony Chatterjee Carlo Curino Avrilia Floratou Neha Godwal ... Karla Saur Rathijit Sen Markus Weimer Travis Wright Yiwen Zhu 135 40 0 30 Aug 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference Alexandre Sablayrolles Matthijs Douze Yann Ollivier Cordelia Schmid Hervé Jégou MIACV 91 369 0 29 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 173 4,581 0 21 Aug 2019
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges Solmaz Niknam Harpreet S. Dhillon J. H. Reed 90 613 0 30 Jul 2019
Membership Privacy for Machine Learning Models Through Knowledge Transfer Virat Shejwalkar Amir Houmansadr 88 10 0 15 Jun 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 200 504 0 12 Jun 2019
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning Xinlei Pan Weiyao Wang Xiaoshuai Zhang Yue Liu Jinfeng Yi Basel Alomair MIACV 151 26 0 24 Apr 2019
Federated Learning Of Out-Of-Vocabulary Words Mingqing Chen Rajiv Mathews Tom Y. Ouyang F. Beaufays FedML 92 165 0 26 Mar 2019
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets Alexandre Sablayrolles Matthijs Douze Cordelia Schmid Hervé Jégou 49 18 0 17 Sep 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 78 477 0 16 Jul 2018
Model Reconstruction from Model Explanations S. Milli Ludwig Schmidt Anca Dragan Moritz Hardt FAtt 66 179 0 13 Jul 2018
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors Joshua Allen Bolin Ding Janardhan Kulkarni Harsha Nori O. Ohrimenko Sergey Yekhanin SyDa FedML 131 32 0 02 Jul 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 156 1,943 0 02 Jul 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 187 1,488 0 10 May 2018
Adversarial Training Versus Weight Decay A. Galloway T. Tanay Graham W. Taylor AAML 70 23 0 10 Apr 2018