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DeltaGrad: Rapid retraining of machine learning models

26 June 2020

Papers citing "DeltaGrad: Rapid retraining of machine learning models"

50 / 129 papers shown

Title
Beyond Uniform Deletion: A Data Value-Weighted Framework for Certified Machine Unlearning Lisong He Yi Yang Xiangyu Chang MU 76 0 0 10 Nov 2025
LLM Unlearning with LLM Beliefs Kemou Li Qizhou Wang Y. Wang Fengpeng Li Jun Liu Bo Han Jiantao Zhou MU KELM 85 0 0 22 Oct 2025
Variational Diffusion Unlearning: A Variational Inference Framework for Unlearning in Diffusion Models under Data Constraints Subhodip Panda MS Varun Shreyans Jain Sarthak Kumar Maharana Prathosh A.P. DiffM 58 0 0 05 Oct 2025
Ascent Fails to Forget Ioannis Mavrothalassitis Pol Puigdemont Noam Itzhak Levi Volkan Cevher MU 107 0 0 30 Sep 2025
SMS: Self-supervised Model Seeding for Verification of Machine UnlearningIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025 Weiqi Wang Chenhan Zhang Zhiyi Tian Shui Yu AAML MU 28 0 0 30 Sep 2025
ReTrack: Data Unlearning in Diffusion Models through Redirecting the Denoising Trajectory Qitan Shi Cheng Jin Jiawei Zhang Yuantao Gu DiffM 65 0 0 16 Sep 2025
Graph Unlearning: Efficient Node Removal in Graph Neural Networks Faqian Guan Tianqing Zhu Zhoutian Wang Wei Ren Wanlei Zhou MU 60 0 0 05 Sep 2025
Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems Pierre Lubitzsch Olga Ovcharenko Hao Chen Maarten de Rijke Sebastian Schelter MU CML 112 0 0 23 Aug 2025
Efficient Knowledge Graph Unlearning with Zeroth-order Information Yang Xiao Ruimeng Ye Bohan Liu Xiaolong Ma Bo Hui MU 87 1 0 19 Aug 2025
IMU: Influence-guided Machine Unlearning Xindi Fan Jing Wu M. Zhou Pengwei Liang Dinh Phung MU 119 1 0 03 Aug 2025
Towards Evaluation for Real-World LLM Unlearning Ke Miao Yuke Hu Xiaochen Li Wenjie Bao Zhihao Liu Zhan Qin Kui Ren MU 53 0 0 02 Aug 2025
The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models Yang Xiao Gen Li Jie Ji Ruimeng Ye Xiaolong Ma Bo Hui MU 112 1 0 24 Jul 2025
Machine Unlearning of Traffic State Estimation and Prediction Xin Wang R. Tyrrell Rockafellar Xuegang MU 100 0 0 23 Jul 2025
PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Xiangman Li Xiaodong Wu Jianbing Ni Mohamed Mahmoud Maazen Alsabaan AAML 91 0 0 18 Jun 2025
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification Lulu Xue Shengshan Hu Wei Lu Yan Shen Dongxu Li Peijin Guo Ziqi Zhou Minghui Li Yanjun Zhang Leo Yu Zhang MU AAML 234 0 0 18 Jun 2025
Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models Yuwen Tan Boqing Gong MU 163 1 0 12 Jun 2025
Laplace Sample Information: Data Informativeness Through a Bayesian LensInternational Conference on Learning Representations (ICLR), 2025 Johannes Kaiser Kristian Schwethelm Daniel Rueckert Georgios Kaissis 120 0 0 21 May 2025
Privacy-Aware Lifelong LearningInternational Conference on Learning Representations (ICLR), 2025 Ozan Özdenizci Elmar Rueckert Robert Legenstein CLL MU KELM 178 1 0 16 May 2025
Understanding Machine Unlearning Through the Lens of Mode Connectivity Jiali Cheng Hadi Amiri MU 760 3 0 08 Apr 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud SegmentationIEEE Robotics and Automation Letters (IEEE RA-L), 2025 Haoyang Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 266 0 0 02 Apr 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic CommunicationsIEEE Transactions on Information Forensics and Security (TIFS), 2025 Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU 217 4 0 27 Feb 2025
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature ReviewArtificial Intelligence Review (Artif Intell Rev), 2024 Pablo Moriano Steven C. Hespeler Mingyan Li Maria Mahbub AAML 236 11 0 21 Nov 2024
A Review on Machine UnlearningSN Computer Science (SCS), 2023 Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 241 64 0 18 Nov 2024
Neural Corrective Machine Unranking Jingrui Hou Axel Finke Georgina Cosma CML MU 173 1 0 13 Nov 2024
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning Zihao Zhao Yijiang Li Yue Yang Wenqing Zhang Nuno Vasconcelos Yinzhi Cao MU 175 1 0 04 Nov 2024
Attribute-to-Delete: Machine Unlearning via Datamodel Matching Kristian Georgiev Roy Rinberg Sung Min Park Shivam Garg Andrew Ilyas Aleksander Madry Seth Neel MU 167 9 0 30 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps ApproachACM Computing Surveys (ACM CSUR), 2024 Firas Bayram Bestoun S. Ahmed OOD 125 8 0 28 Oct 2024
Exploring Forgetting in Large Language Model Pre-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Chonghua Liao Ruobing Xie Xingwu Sun Haowen Sun Zhanhui Kang CLL 130 3 0 22 Oct 2024
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained DevicesIEEE Symposium on Security and Privacy (S&P), 2024 Xiaoyu Xia Ziqi Wang Ruoxi Sun B. Liu Ibrahim Khalil Minhui Xue MU 250 6 0 14 Oct 2024
Data Deletion for Linear Regression with Noisy SGD Zhangjie Xia Chi-Hua Wang Guang Cheng 182 2 0 12 Oct 2024
Enhancing User-Centric Privacy Protection: An Interactive Framework through Diffusion Models and Machine Unlearning Huaxi Huang Xin Yuan Qiyu Liao Dadong Wang Tongliang Liu DiffM 126 0 0 05 Sep 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 157 18 0 15 Jul 2024
Mitigating Backdoor Attacks using Activation-Guided Model Editing Felix Hsieh H. Nguyen AprilPyone Maungmaung Dmitrii Usynin Isao Echizen AAML KELM LLMSV 164 0 0 10 Jul 2024
MUSE: Machine Unlearning Six-Way Evaluation for Language Models Weijia Shi Jaechan Lee Yangsibo Huang Sadhika Malladi Jieyu Zhao Ari Holtzman Daogao Liu Luke Zettlemoyer Noah A. Smith Chiyuan Zhang MU ELM 186 134 0 08 Jul 2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning Nexhi Sula Abhinav Kumar Jie Hou Han Wang R. Tourani MU 215 1 0 01 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 342 24 0 25 Jun 2024
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios Tao Huang Ziyang Chen Jiayang Meng Qingyu Huang Xu Yang Xun Yi Ibrahim Khalil MU 118 0 0 24 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 207 9 0 21 Jun 2024
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou MU AAML 161 5 0 16 Jun 2024
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition Eleni Triantafillou Peter Kairouz Fabian Pedregosa Jamie Hayes M. Kurmanji ... Lisheng Sun-Hosoya Sergio Escalera Gintare Karolina Dziugaite Peter Triantafillou Isabelle M Guyon MU 162 35 0 13 Jun 2024
"Forgetting" in Machine Learning and Beyond: A Survey Alyssa Shuang Sha Bernardo Pereira Nunes Armin Haller MU KELM 181 2 0 31 May 2024
Lifelong Learning and Selective Forgetting via Contrastive Strategy Li Shan Wenzhang Zhou Wei Li Xingyu Ding CLL 118 11 0 28 May 2024
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience T. T. Huynh Trong Bang Nguyen Phi Le Nguyen Thanh Tam Nguyen Matthias Weidlich Quoc Viet Hung Nguyen Karl Aberer MU 135 14 0 28 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 162 30 0 13 May 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images Jacopo Bonato Marco Cotogni Luigi Sabetta MU CLL 193 17 0 19 Apr 2024
A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation Yiwen Tu Pingbang Hu Jiaqi W. Ma MU 283 0 0 17 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine UnlearningIEEE Symposium on Security and Privacy (S&P), 2024 Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 141 41 0 04 Apr 2024
Goldfish: An Efficient Federated Unlearning FrameworkDependable Systems and Networks (DSN), 2024 Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 164 6 0 04 Apr 2024
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey Yi Xu AILaw MU 122 11 0 01 Apr 2024
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences Dimitris Bertsimas V. Digalakis Yu Ma Phevos Paschalidis 217 2 0 28 Mar 2024