Towards Probabilistic Verification of Machine Unlearning

9 March 2020

Papers citing "Towards Probabilistic Verification of Machine Unlearning"

31 / 31 papers shown

Title
SoK: Dataset Copyright Auditing in Machine Learning Systems L. Du Xuanru Zhou M. Chen Chusong Zhang Zhou Su Peng Cheng Jiming Chen Zhikun Zhang MLAU 74 4 0 22 Oct 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 93 17 0 25 Jun 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 85 31 0 20 Mar 2024
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 67 26 0 17 Oct 2022
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi MU 52 271 0 06 Jul 2020
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 68 226 0 05 May 2020
Dynamic Backdoor Attacks Against Machine Learning Models A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 116 276 0 07 Mar 2020
Formalizing Data Deletion in the Context of the Right to be Forgotten Sanjam Garg S. Goldwasser Prashant Nalini Vasudevan AILaw MU 78 83 0 25 Feb 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 142 130 0 07 Feb 2020
Radioactive data: tracing through training Alexandre Sablayrolles Matthijs Douze Cordelia Schmid Hervé Jégou 69 75 0 03 Feb 2020
Machine Unlearning Lucas Bourtoule Varun Chandrasekaran Christopher A. Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie Nicolas Papernot MU 112 861 0 09 Dec 2019
Label-Consistent Backdoor Attacks Alexander Turner Dimitris Tsipras Aleksander Madry AAML 46 389 0 05 Dec 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 86 443 0 08 Nov 2019
Hidden Trigger Backdoor Attacks Aniruddha Saha Akshayvarun Subramanya Hamed Pirsiavash 81 622 0 30 Sep 2019
Making AI Forget You: Data Deletion in Machine Learning Antonio A. Ginart M. Guan Gregory Valiant James Zou MU 72 477 0 11 Jul 2019
Bypassing Backdoor Detection Algorithms in Deep Learning T. Tan Reza Shokri FedML AAML 66 151 0 31 May 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 134 1,417 0 03 Dec 2018
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering Bryant Chen Wilka Carvalho Wenjie Li Heiko Ludwig Benjamin Edwards Chengyao Chen Ziqiang Cao Biplav Srivastava AAML 82 790 0 09 Nov 2018
Spectral Signatures in Backdoor Attacks Brandon Tran Jerry Li Aleksander Madry AAML 85 784 0 01 Nov 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 93 32 0 02 Jul 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks Kang Liu Brendan Dolan-Gavitt S. Garg AAML 61 1,032 0 30 May 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 130 1,137 0 22 Feb 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring Yossi Adi Carsten Baum Moustapha Cissé Benny Pinkas Joseph Keshet 61 674 0 13 Feb 2018
Spectre Attacks: Exploiting Speculative Execution P. Kocher Daniel Genkin Daniel Gruss Werner Haas Michael Hamburg Moritz Lipp Stefan Mangard Thomas Prescher Michael Schwarz Y. Yarom SILM 71 2,177 0 03 Jan 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 108 1,833 0 15 Dec 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 169 2,878 0 14 Mar 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 230 4,103 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 254 6,101 0 04 Sep 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014