Certified Data Removal from Machine Learning Models

8 November 2019

Chuan Guo

Tom Goldstein

Awni Y. Hannun

L. V. D. van der Maaten

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Papers citing "Certified Data Removal from Machine Learning Models"

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Title
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 28 122 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 30 13 0 20 Feb 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection Weilin Cong Mehrdad Mahdavi MU 16 17 0 17 Feb 2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten Satyapriya Krishna Jiaqi Ma Himabindu Lakkaraju 24 13 0 08 Feb 2023
To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods Dawen Zhang Shidong Pan Thong Hoang Zhenchang Xing Mark Staples Xiwei Xu Lina Yao Qinghua Lu Liming Zhu MU 30 16 0 07 Feb 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
Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh Daniel Lowd TDI 29 82 0 09 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
Taming Normalizing Flows Shimon Malnick S. Avidan Ohad Fried TPM DiffM 26 1 0 29 Nov 2022
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization Yann Fraboni Martin Van Waerebeke Kevin Scaman Richard Vidal Laetitia Kameni Marco Lorenzi FedML MU 15 14 0 21 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 25 32 0 06 Nov 2022
Machine Unlearning of Federated Clusters Chao Pan Jin Sima Saurav Prakash Vishal Rana O. Milenkovic FedML MU 39 25 0 28 Oct 2022
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 42 8 0 28 Oct 2022
Proof of Unlearning: Definitions and Instantiation Jiasi Weng Shenglong Yao Yuefeng Du Junjie Huang Jian Weng Cong Wang MU 28 12 0 20 Oct 2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning R. Chourasia Neil Shah MU 18 40 0 17 Oct 2022
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 41 26 0 17 Oct 2022
Deep Regression Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli BDL MU 26 31 0 15 Oct 2022
Control, Confidentiality, and the Right to be Forgotten A. Cohen Adam D. Smith Marika Swanberg Prashant Nalini Vasudevan AILaw MU 19 13 0 14 Oct 2022
ASIF: Coupled Data Turns Unimodal Models to Multimodal Without Training Antonio Norelli Marco Fumero Valentino Maiorca Luca Moschella Emanuele Rodolà Francesco Locatello VLM 81 34 0 04 Oct 2022
Certified Data Removal in Sum-Product Networks Alexander Becker Thomas Liebig MU 51 1 0 04 Oct 2022
Machine Unlearning Method Based On Projection Residual Zihao Cao Jianzong Wang Shijing Si Zhangcheng Huang Jing Xiao MU 74 6 0 30 Sep 2022
Algorithms that Approximate Data Removal: New Results and Limitations Vinith M. Suriyakumar Ashia C. Wilson MU 44 27 0 25 Sep 2022
Non-Parametric Temporal Adaptation for Social Media Topic Classification Fatemehsadat Mireshghallah Nikolai Vogler Junxian He Omar U. Florez Ahmed El-Kishky Taylor Berg-Kirkpatrick TTA 16 0 0 13 Sep 2022
An Introduction to Machine Unlearning Salvatore Mercuri Raad Khraishi Ramin Okhrati Devesh Batra Conor B. Hamill T. Ghasempour Andrew Nowlan MU 30 14 0 02 Sep 2022
Reducing Certified Regression to Certified Classification for General Poisoning Attacks Zayd Hammoudeh Daniel Lowd AAML 32 9 0 29 Aug 2022
Data Isotopes for Data Provenance in DNNs Emily Wenger Xiuyu Li Ben Y. Zhao Vitaly Shmatikov 20 12 0 29 Aug 2022
Evaluating Machine Unlearning via Epistemic Uncertainty Alexander Becker Thomas Liebig UD ELM MU 25 33 0 23 Aug 2022
Federated Unlearning: How to Efficiently Erase a Client in FL? Anisa Halimi S. Kadhe Ambrish Rawat Nathalie Baracaldo MU 19 120 0 12 Jul 2022
Repairing Neural Networks by Leaving the Right Past Behind Ryutaro Tanno Melanie F. Pradier A. Nori Yingzhen Li KELM 25 31 0 11 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 54 102 0 30 Jun 2022
Approximate Data Deletion in Generative Models Zhifeng Kong Scott Alfeld MU 16 4 0 29 Jun 2022
Data Redaction from Pre-trained GANs Zhifeng Kong Kamalika Chaudhuri 55 16 0 29 Jun 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 30 38 0 18 Jun 2022
Debugging using Orthogonal Gradient Descent Narsimha Chilkuri C. Eliasmith 26 1 0 17 Jun 2022
Membership Inference via Backdooring Hongsheng Hu Z. Salcic Gillian Dobbie Jinjun Chen Lichao Sun Xuyun Zhang MIACV 28 30 0 10 Jun 2022
Few-Shot Unlearning by Model Inversion Youngsik Yoon Jinhwan Nam Hyojeong Yun Jaeho Lee Dongwoo Kim Jungseul Ok MU 22 17 0 31 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 33 10 0 21 May 2022
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher Vikram S Chundawat Ayush K Tarun Murari Mandal Mohan S. Kankanhalli MU 19 124 0 17 May 2022
Deep Unlearning via Randomized Conditionally Independent Hessians Ronak R. Mehta Sourav Pal Vikas Singh Sathya Ravi MU 21 81 0 15 Apr 2022
Knowledge Removal in Sampling-based Bayesian Inference Shaopeng Fu Fengxiang He Dacheng Tao BDL MU 17 27 0 24 Mar 2022
Continual Learning and Private Unlearning B. Liu Qian Liu Peter Stone CLL MU 10 46 0 24 Mar 2022
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining Yi Liu Lei Xu Xingliang Yuan Cong Wang Bo Li MU 22 141 0 14 Mar 2022
Counterfactually Evaluating Explanations in Recommender Systems Yuanshun Yao Chong Wang Hang Li OffRL LRM 36 6 0 02 Mar 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal Ga Wu Masoud Hashemi C. Srinivasa MU 17 69 0 02 Mar 2022
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten Q. Nguyen Ryutaro Oikawa D. Divakaran M. Chan K. H. Low MU 17 37 0 28 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 20 2 0 07 Feb 2022
Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items Benjamin Longxiang Wang Sebastian Schelter 20 6 0 27 Jan 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 21 28 0 25 Jan 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun M. Zhang Bolin Ding MU 36 85 0 18 Jan 2022