Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

6 July 2020

Papers citing "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning"

50 / 75 papers shown

Title
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning Zhehao Huang Xinwen Cheng Jing Zhang Jinghao Zheng Haoran Wang Zhengbao He Tao Li Xiaolin Huang CLL 52 0 0 21 May 2025
SEPS: A Separability Measure for Robust Unlearning in LLMs Wonje Jeung Sangyeon Yoon Albert No MU VLM 26 0 0 20 May 2025
Privacy-Aware Lifelong Learning Ozan Özdenizci Elmar Rueckert Robert Legenstein CLL MU KELM 41 0 0 16 May 2025
Online Learning and Unlearning Yaxi Hu Bernhard Schölkopf Amartya Sanyal MU OnRL 63 0 0 13 May 2025
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks Xuzhao Li Jingyi Wang Xiaohan Yuan Peixin Zhang Zhan Qin Peng Kuang Kui Ren AAML MU 57 0 0 10 May 2025
Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation Stefan Vasilev Christian Herold Baohao Liao Seyyed Hadi Hashemi Shahram Khadivi Christof Monz MU 260 0 0 09 May 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models Xiaoyu Xu Minxin Du Qingqing Ye Haibo Hu MU 60 0 0 07 May 2025
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers Hongkang Li Yihua Zhang Shuai Zhang Ming Wang Sijia Liu Pin-Yu Chen MoMe 71 4 0 15 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning Saber Malekmohammadi Hong kyu Lee Li Xiong MU 256 0 0 08 Apr 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 48 0 0 02 Mar 2025
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 80 3 0 23 Nov 2024
CLEAR: Character Unlearning in Textual and Visual Modalities Alexey Dontsov Dmitrii Korzh Alexey Zhavoronkin Boris Mikheev Denis Bobkov Aibek Alanov Oleg Y. Rogov Ivan Oseledets Elena Tutubalina AILaw VLM MU 76 5 0 23 Oct 2024
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten Stephan Günnemann Leo Schwinn MU 63 6 0 04 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress Pratiksha Thaker Shengyuan Hu Neil Kale Yash Maurya Zhiwei Steven Wu Virginia Smith MU 53 12 0 03 Oct 2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 52 5 0 18 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 85 4 0 17 Sep 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 50 3 0 15 Sep 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 71 7 0 01 Aug 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 67 8 0 25 Jun 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 61 7 0 24 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 52 3 0 21 Jun 2024
On Newton's Method to Unlearn Neural Networks Nhung Bui Xinyang Lu Rachael Hwee Ling Sim See-Kiong Ng Bryan Kian Hsiang Low MU 50 2 0 20 Jun 2024
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space Tomer Ashuach Martin Tutek Yonatan Belinkov KELM MU 71 4 0 13 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 45 2 0 11 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 47 6 0 10 Jun 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning Vinay Chakravarthi Gogineni E. Nadimi MU 43 1 0 12 Mar 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 47 14 0 21 Feb 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong kyu Lee Qiuchen Zhang Carl Yang Jian Lou Li Xiong MU SSL 29 5 0 19 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 31 0 0 09 Jan 2024
SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning Jian Zhang Bowen Li Jie Li Chentao Wu MU 46 3 0 22 Nov 2023
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 47 7 0 18 Nov 2023
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models Xinwei Wu Junzhuo Li Minghui Xu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong MU KELM 32 47 0 31 Oct 2023
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 59 7 0 25 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 23 26 0 15 Sep 2023
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 30 4 0 20 Jul 2023
Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space Hossein Rezaei Mohammad Sabokrou 29 3 0 30 May 2023
Data Redaction from Conditional Generative Models Zhifeng Kong Kamalika Chaudhuri KELM 26 7 0 18 May 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
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
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
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
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 36 3 0 16 Dec 2022
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning Misgina Tsighe Hagos Kathleen M. Curran Brian Mac Namee 31 10 0 15 Nov 2022
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun Jiafeng Guo Ruqing Zhang Xueqi Cheng MU 52 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
Verifiable and Provably Secure Machine Unlearning Thorsten Eisenhofer Doreen Riepel Varun Chandrasekaran Esha Ghosh O. Ohrimenko Nicolas Papernot AAML MU 46 26 0 17 Oct 2022
Algorithms that Approximate Data Removal: New Results and Limitations Vinith Suriyakumar Ashia Wilson MU 49 27 0 25 Sep 2022