Making AI Forget You: Data Deletion in Machine Learning

11 July 2019

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

50 / 118 papers shown

Title
AI Model Disgorgement: Methods and Choices Alessandro Achille Michael Kearns Carson Klingenberg Stefano Soatto MU 36 11 0 07 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang Xiangnan He MU 46 51 0 06 Apr 2023
Multi-Class Unlearning for Image Classification via Weight Filtering Samuele Poppi Sara Sarto Marcella Cornia Lorenzo Baraldi Rita Cucchiara MU 31 5 0 04 Apr 2023
Feature Unlearning for Pre-trained GANs and VAEs Saemi Moon Seunghyuk Cho Dongwoo Kim SSL GAN MU 41 13 0 10 Mar 2023
Iterative Approximate Cross-Validation Yuetian Luo Zhimei Ren Rina Foygel Barber 31 7 0 05 Mar 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 52 37 0 26 Feb 2023
Subspace based Federated Unlearning Guang-Ming Li Li Shen Yan Sun Yuejun Hu Han Hu Dacheng Tao MU FedML 32 20 0 24 Feb 2023
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 28 124 0 20 Feb 2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare Juexiao Zhou Haoyang Li Xingyu Liao Bin Zhang Wenjia He Zhongxiao Li Longxi Zhou Xin Gao MU 43 13 0 20 Feb 2023
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning Xiangrong Zhu Guang-pu Li Wei Hu MU FedML 27 48 0 04 Feb 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers Sungmin Cha Sungjun Cho Dasol Hwang Honglak Lee Taesup Moon Moontae Lee MU 49 36 0 27 Jan 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks Jimmy Z. Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari MU 32 44 0 21 Dec 2022
Evaluation for Change Rishi Bommasani ELM 42 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 28 6 0 06 Dec 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 30 33 0 06 Nov 2022
Machine Unlearning of Federated Clusters Chao Pan Jin Sima Saurav Prakash Vishal Rana O. Milenkovic FedML MU 41 25 0 28 Oct 2022
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun Jiafeng Guo Ruqing Zhang Xueqi Cheng MU 46 8 0 28 Oct 2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning R. Chourasia Neil Shah MU 21 40 0 17 Oct 2022
Algorithms that Approximate Data Removal: New Results and Limitations Vinith Suriyakumar Ashia Wilson MU 49 27 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 27 0 0 22 Sep 2022
Federated Unlearning: How to Efficiently Erase a Client in FL? Anisa Halimi S. Kadhe Ambrish Rawat Nathalie Baracaldo MU 25 122 0 12 Jul 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 80 102 0 30 Jun 2022
Debugging using Orthogonal Gradient Descent Narsimha Chilkuri C. Eliasmith 26 1 0 17 Jun 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 35 17 0 31 May 2022
Online Learning with Bounded Recall Jon Schneider Kiran Vodrahalli 23 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 75 46 0 25 May 2022
Deep Unlearning via Randomized Conditionally Independent Hessians Ronak R. Mehta Sourav Pal Vikas Singh Sathya Ravi MU 27 81 0 15 Apr 2022
Knowledge Removal in Sampling-based Bayesian Inference Shaopeng Fu Fengxiang He Dacheng Tao BDL MU 30 27 0 24 Mar 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu Masoud Hashemi C. Srinivasa MU 17 69 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 32 18 0 27 Feb 2022
Bounding Membership Inference Anvith Thudi Ilia Shumailov Franziska Boenisch Nicolas Papernot 35 18 0 24 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 34 25 0 10 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning Ji Gao Sanjam Garg Mohammad Mahmoody Prashant Nalini Vasudevan MIACV AAML 19 22 0 07 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 25 2 0 07 Feb 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun Hao Fei Bolin Ding MU 36 85 0 18 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip Torr Ponnurangam Kumaraguru AAML ELM MU 51 50 0 17 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 33 2 0 24 Nov 2021
Forget-SVGD: Particle-Based Bayesian Federated Unlearning J. Gong Osvaldo Simeone Rahif Kassab Joonhyuk Kang FedML MU 29 23 0 23 Nov 2021
Fast Yet Effective Machine Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli MU 33 174 0 17 Nov 2021
Lightweight machine unlearning in neural network Kongyang Chen Yiwen Wang Yao Huang MU 30 7 0 10 Nov 2021
Minimax Optimization: The Case of Convex-Submodular Arman Adibi Aryan Mokhtari Hamed Hassani 21 7 0 01 Nov 2021
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development Aspen K. Hopkins Serena Booth 34 45 0 06 Oct 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 28 69 0 17 Sep 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report) Yinjun Wu James Weimer S. Davidson 23 4 0 19 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 33 71 0 04 Jul 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 25 174 0 08 Jun 2021
A unified PAC-Bayesian framework for machine unlearning via information risk minimization Sharu Theresa Jose Osvaldo Simeone MU 19 7 0 01 Jun 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 44 288 0 04 Mar 2021
Machine Unlearning via Algorithmic Stability Enayat Ullah Tung Mai Anup B. Rao Ryan Rossi R. Arora 35 103 0 25 Feb 2021
Bayesian Inference Forgetting Shaopeng Fu Fengxiang He Yue Xu Dacheng Tao MU 30 12 0 16 Jan 2021