DeltaGrad: Rapid retraining of machine learning models

26 June 2020

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

50 / 112 papers shown

Title
Understanding Machine Unlearning Through the Lens of Mode Connectivity Jiali Cheng Hadi Amiri MU 132 0 0 08 Apr 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation H. Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 37 0 0 02 Apr 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU 72 1 0 27 Feb 2025
Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective Yiwen Tu Pingbang Hu Jiaqi W. Ma MU 63 2 0 17 Feb 2025
A Review on Machine Unlearning Haibo Zhang Toru Nakamura Takamasa Isohara Kouichi Sakurai AILaw PILM MU 88 47 0 18 Nov 2024
Neural Corrective Machine Unranking Jingrui Hou Axel Finke Georgina Cosma MU 40 1 0 13 Nov 2024
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning Zihao Zhao Yijiang Li Y. Yang Wenqing Zhang Nuno Vasconcelos Yinzhi Cao MU 23 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 43 3 0 30 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach Firas Bayram Bestoun S. Ahmed OOD 34 0 0 28 Oct 2024
Exploring Forgetting in Large Language Model Pre-Training Chonghua Liao Ruobing Xie X. Sun Haowen Sun Zhanhui Kang CLL 33 0 0 22 Oct 2024
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices Xiaoyu Xia Ziqi Wang Ruoxi Sun B. Liu Ibrahim Khalil Minhui Xue MU 31 2 0 14 Oct 2024
Data Deletion for Linear Regression with Noisy SGD Zhangjie Xia Chi-Hua Wang Guang Cheng 27 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 25 0 0 05 Sep 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 35 8 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 37 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 42 44 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 23 0 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 57 8 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 37 0 0 24 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 39 3 0 21 Jun 2024
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou MU AAML 42 2 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 51 14 0 13 Jun 2024
"Forgetting" in Machine Learning and Beyond: A Survey Alyssa Shuang Sha Bernardo Pereira Nunes Armin Haller MU KELM 38 1 0 31 May 2024
Lifelong Learning and Selective Forgetting via Contrastive Strategy Li Shan Wenzhang Zhou Wei Li Xingyu Ding CLL 29 1 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 38 10 0 28 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 32 13 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 42 4 0 19 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 33 18 0 04 Apr 2024
Goldfish: An Efficient Federated Unlearning Framework Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 21 3 0 04 Apr 2024
Machine Unlearning for Traditional Models and Large Language Models: A Short Survey Yi Xu AILaw MU 32 3 0 01 Apr 2024
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences Dimitris Bertsimas V. Digalakis Yu Ma Phevos Paschalidis 25 0 0 28 Mar 2024
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective Subhodip Panda S. Sourav Prathosh A.P. MU 41 1 0 24 Mar 2024
A Unified and General Framework for Continual Learning Zhenyi Wang Yan Li Li Shen Heng-Chiao Huang CLL 32 17 0 20 Mar 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning Vinay Chakravarthi Gogineni E. Nadimi MU 29 1 0 12 Mar 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip H. S. Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 38 14 0 21 Feb 2024
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 28 7 0 02 Feb 2024
Dataset Condensation Driven Machine Unlearning Junaid Iqbal Khan DD 31 1 0 31 Jan 2024
EraseDiff: Erasing Data Influence in Diffusion Models Jing Wu Trung Le Munawar Hayat Mehrtash Harandi DiffM 67 14 0 11 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 23 12 0 11 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 19 0 0 09 Jan 2024
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 36 7 0 04 Dec 2023
Retail Analytics in the New Normal: The Influence of Artificial Intelligence and the Covid-19 Pandemic Y. Adulyasak Maxime C. Cohen Warut Khern-am-nuai Michael Krause MLAU 8 0 0 27 Nov 2023
SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning Jian Zhang Bowen Li Jie Li Chentao Wu MU 39 3 0 22 Nov 2023
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 40 7 0 18 Nov 2023
DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal Jiaeli Shi Najah F. Ghalyan Kostis Gourgoulias John Buford Sean J. Moran MU 8 3 0 17 Nov 2023
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach Yuke Hu Jian Lou Jiaqi Liu Wangze Ni Feng Lin Zhan Qin Kui Ren MU 35 12 0 03 Nov 2023
Detecting Pretraining Data from Large Language Models Weijia Shi Anirudh Ajith Mengzhou Xia Yangsibo Huang Daogao Liu Terra Blevins Danqi Chen Luke Zettlemoyer MIALM 28 161 0 25 Oct 2023
Fast Model Debias with Machine Unlearning Ruizhe Chen Jianfei Yang Huimin Xiong Jianhong Bai Tianxiang Hu Jinxiang Hao Yang Feng Joey Tianyi Zhou Jian Wu Zuo-Qiang Liu MU 29 57 0 19 Oct 2023
In-Context Unlearning: Language Models as Few Shot Unlearners Martin Pawelczyk Seth Neel Himabindu Lakkaraju MU 26 100 0 11 Oct 2023
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer Shubham Agarwal Sarthak Chakraborty Shaddy Garg Sumit Bisht Chahat Jain Ashritha Gonuguntla S. Saini 11 2 0 29 Sep 2023