Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations

27 February 2022

Papers citing "Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations"

35 / 35 papers shown

Title
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining Yi Liu Lei Xu Lizhen Qu Cong Wang Bo Li MU 49 146 0 14 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 243 30,108 0 01 Mar 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun Hao Fei Bolin Ding MU 72 90 0 18 Jan 2022
Anatomizing Bias in Facial Analysis Richa Singh P. Majumdar S. Mittal Mayank Vatsa CVBM 61 24 0 13 Dec 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 69 11 0 05 Nov 2021
Federated Unlearning via Class-Discriminative Pruning Junxiao Wang Song Guo Xin Xie Heng Qi MU 35 142 0 22 Oct 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 55 182 0 08 Jun 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 74 306 0 04 Mar 2021
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training Yulin Wang Zanlin Ni Shiji Song Le Yang Gao Huang 63 84 0 26 Jan 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 215 193 0 13 Jan 2021
Parallel Training of Deep Networks with Local Updates Michael Laskin Luke Metz Seth Nabarrao Mark Saroufim Badreddine Noune Carlo Luschi Jascha Narain Sohl-Dickstein Pieter Abbeel FedML 97 27 0 07 Dec 2020
Fair Attribute Classification through Latent Space De-biasing V. V. Ramaswamy Sunnie S. Y. Kim Olga Russakovsky 54 164 0 02 Dec 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 60 287 0 24 Nov 2020
Amnesiac Machine Learning Laura Graves Vineel Nagisetty Vijay Ganesh MU MIACV 69 264 0 21 Oct 2020
Machine Unlearning for Random Forests Jonathan Brophy Daniel Lowd MU 55 161 0 11 Sep 2020
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi MU 52 271 0 06 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren Mingjie Li Zexu Liu Quanshi Zhang CoGe 43 18 0 29 Jun 2020
DeltaGrad: Rapid retraining of machine learning models Yinjun Wu Yan Sun S. Davidson MU 48 199 0 26 Jun 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 84 1,323 0 20 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 141 4,532 0 23 Apr 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 54 262 0 24 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 339 18,721 0 13 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
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 60 362 0 26 Nov 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
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 70 2,311 0 13 Feb 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 706 0 03 Dec 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 308 2,661 0 20 Aug 2018
Decoupled Parallel Backpropagation with Convergence Guarantee Zhouyuan Huo Bin Gu Qian Yang Heng-Chiao Huang 62 97 0 27 Apr 2018
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 77 474 0 11 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 268 19,929 0 07 Oct 2016
Decoupled Neural Interfaces using Synthetic Gradients Max Jaderberg Wojciech M. Czarnecki Simon Osindero Oriol Vinyals Alex Graves David Silver Koray Kavukcuoglu 75 356 0 18 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 86 2,223 0 18 Nov 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 227 8,391 0 28 Nov 2014