Towards Adversarial Evaluations for Inexact Machine Unlearning

17 January 2022

Ser-Nam Lim

Ponnurangam Kumaraguru

AAML

ELM

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Papers citing "Towards Adversarial Evaluations for Inexact Machine Unlearning"

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Title
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding Alkis Koudounas Claudio Savelli Flavio Giobergia Elena Baralis MU 63 0 0 21 May 2025
SEPS: A Separability Measure for Robust Unlearning in LLMs Wonje Jeung Sangyeon Yoon Albert No MU VLM 122 0 0 20 May 2025
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 96 4 0 23 Nov 2024
Erasing Conceptual Knowledge from Language Models Rohit Gandikota Sheridan Feucht Samuel Marks David Bau KELM ELM MU 75 8 0 03 Oct 2024
An Adversarial Perspective on Machine Unlearning for AI Safety Jakub Łucki Boyi Wei Yangsibo Huang Peter Henderson F. Tramèr Javier Rando MU AAML 113 38 0 26 Sep 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 75 12 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 63 30 0 20 Mar 2024
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 77 7 0 18 Nov 2023
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 75 8 0 25 Sep 2023
Forget Unlearning: Towards True Data-Deletion in Machine Learning R. Chourasia Neil Shah MU 31 42 0 17 Oct 2022
A law of adversarial risk, interpolation, and label noise Daniel Paleka Amartya Sanyal NoLa AAML 32 9 0 08 Jul 2022
How unfair is private learning ? Amartya Sanyal Yaxian Hu Fanny Yang FaML FedML 65 23 0 08 Jun 2022
Zero-Shot Machine Unlearning Vikram S Chundawat Ayush K Tarun Murari Mandal Mohan S. Kankanhalli MU 38 121 0 14 Jan 2022
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning Anvith Thudi Hengrui Jia Ilia Shumailov Nicolas Papernot MU 45 146 0 22 Oct 2021
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 49 167 0 27 Sep 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 149 122 0 16 Jul 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 73 134 0 21 Jun 2021
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks Yingzhe He Guozhu Meng Kai Chen Jinwen He Xingbo Hu MU 20 27 0 13 May 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 77 423 0 14 Mar 2021
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov Christoph H. Lampert 26 17 0 11 Feb 2021
InstaHide: Instance-hiding Schemes for Private Distributed Learning Yangsibo Huang Zhao Song Keqin Li Sanjeev Arora FedML PICV 52 150 0 06 Oct 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 96 454 0 09 Aug 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 76 595 0 17 Jul 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 280 367 0 24 Mar 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 132 130 0 07 Feb 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 48 483 0 12 Nov 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 75 434 0 08 Nov 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 578 4,735 0 13 May 2019
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski Alina Oprea Battista Biggio Chang-rui Liu Cristina Nita-Rotaru Yue Liu AAML 74 757 0 01 Apr 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 80 1,822 0 15 Dec 2017
FreezeOut: Accelerate Training by Progressively Freezing Layers Andrew Brock Theodore Lim J. Ritchie Nick Weston 34 123 0 15 Jun 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 203 4,075 0 18 Oct 2016