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Making AI Forget You: Data Deletion in Machine Learning

11 July 2019

Papers citing "Making AI Forget You: Data Deletion in Machine Learning"

50 / 134 papers shown

Title
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 139 9 0 25 Sep 2023
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 47 5 0 20 Jul 2023
Random Relabeling for Efficient Machine Unlearning Junde Li Swaroop Ghosh MU 74 3 0 21 May 2023
Learn to Unlearn: A Survey on Machine Unlearning Youyang Qu Xinnan Yuan Ming Ding W. Ni Thierry Rakotoarivelo David Smith MU 48 0 0 12 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 125 30 0 10 May 2023
GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang Xiangnan He MU 94 60 0 06 Apr 2023
Can Membership Inferencing be Refuted? Zhifeng Kong A. Chowdhury Kamalika Chaudhuri MIALM MIACV 89 7 0 07 Mar 2023
Iterative Approximate Cross-Validation Yuetian Luo Zhimei Ren Rina Foygel Barber 85 7 0 05 Mar 2023
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations Mimee Xu Jiankai Sun Xin Yang K. Yao Chong-Jun Wang MU CML CLL 49 12 0 13 Feb 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks Jimmy Z. Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari MU 81 46 0 21 Dec 2022
Evaluation for Change Rishi Bommasani ELM 64 0 0 20 Dec 2022
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning Hongbin Liu Wenjie Qu Jinyuan Jia Neil Zhenqiang Gong SSL 66 6 0 06 Dec 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 76 34 0 06 Nov 2022
Machine Unlearning of Federated Clusters Chao Pan Jin Sima Saurav Prakash Vishal Rana O. Milenkovic FedML MU 111 31 0 28 Oct 2022
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun Jiafeng Guo Ruqing Zhang Xueqi Cheng MU 78 10 0 28 Oct 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 82 1 0 25 Oct 2022
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 76 13 0 20 Oct 2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning R. Chourasia Neil Shah MU 83 48 0 17 Oct 2022
Control, Confidentiality, and the Right to be Forgotten A. Cohen Adam D. Smith Marika Swanberg Prashant Nalini Vasudevan AILaw MU 66 14 0 14 Oct 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 226 239 0 04 Oct 2022
Certified Data Removal in Sum-Product Networks Alexander Becker Thomas Liebig MU 79 1 0 04 Oct 2022
Machine Unlearning Method Based On Projection Residual Zihao Cao Jianzong Wang Shijing Si Zhangcheng Huang Jing Xiao MU 81 7 0 30 Sep 2022
Algorithms that Approximate Data Removal: New Results and Limitations Vinith Suriyakumar Ashia Wilson MU 99 32 0 25 Sep 2022
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models Sohaib Ahmad Benjamin Fuller Kaleel Mahmood AAML 62 0 0 22 Sep 2022
An Introduction to Machine Unlearning Salvatore Mercuri Raad Khraishi Ramin Okhrati Devesh Batra Conor B. Hamill T. Ghasempour Andrew Nowlan MU 77 15 0 02 Sep 2022
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 156 111 0 30 Jun 2022
Approximate Data Deletion in Generative Models Zhifeng Kong Scott Alfeld MU 57 4 0 29 Jun 2022
Debugging using Orthogonal Gradient Descent Narsimha Chilkuri C. Eliasmith 114 1 0 17 Jun 2022
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent Da Yu Gautam Kamath Janardhan Kulkarni Tie-Yan Liu Jian Yin Huishuai Zhang 156 22 0 06 Jun 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 73 18 0 31 May 2022
Online Learning with Bounded Recall Jon Schneider Kiran Vodrahalli 68 1 0 28 May 2022
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 128 48 0 25 May 2022
Knowledge Removal in Sampling-based Bayesian Inference Shaopeng Fu Fengxiang He Dacheng Tao BDL MU 89 28 0 24 Mar 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu Masoud Hashemi C. Srinivasa MU 70 72 0 02 Mar 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations Tao Guo Song Guo Jiewei Zhang Wenchao Xu Junxiao Wang MU 72 18 0 27 Feb 2022
Bounding Membership Inference Anvith Thudi Ilia Shumailov Franziska Boenisch Nicolas Papernot 81 18 0 24 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 95 26 0 10 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning Ji Gao Sanjam Garg Mohammad Mahmoody Prashant Nalini Vasudevan MIACV AAML 79 24 0 07 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 49 2 0 07 Feb 2022
Federated Unlearning with Knowledge Distillation Chen Wu Sencun Zhu P. Mitra MU 80 112 0 24 Jan 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun Hao Fei Bolin Ding MU 88 96 0 18 Jan 2022
Zero-Shot Machine Unlearning Vikram S Chundawat Ayush K Tarun Murari Mandal Mohan S. Kankanhalli MU 108 128 0 14 Jan 2022
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 63 4 0 24 Nov 2021
Forget-SVGD: Particle-Based Bayesian Federated Unlearning J. Gong Osvaldo Simeone Rahif Kassab Joonhyuk Kang FedML MU 118 24 0 23 Nov 2021
Fast Yet Effective Machine Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli MU 149 188 0 17 Nov 2021
Lightweight machine unlearning in neural network Kongyang Chen Yiwen Wang Yao Huang MU 62 7 0 10 Nov 2021
Federated Unlearning via Class-Discriminative Pruning Junxiao Wang Song Guo Xin Xie Heng Qi MU 89 145 0 22 Oct 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development Aspen K. Hopkins Serena Booth 103 46 0 06 Oct 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 98 72 0 17 Sep 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report) Yinjun Wu James Weimer S. Davidson 72 4 0 19 Jul 2021