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

6 July 2020

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

50 / 55 papers shown

Title
PRUNE: A Patching Based Repair Framework for Certiffable Unlearning of Neural Networks X. Li Jingyi Wang Xiaohan Yuan Peixin Zhang Z. Qin Zhibo Wang Kui Ren AAML MU 47 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 138 0 0 09 May 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models Xiaoyu Xu Minxin Du Qingqing Ye Haibo Hu MU 57 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 M. Wang Sijia Liu Pin-Yu Chen MoMe 69 2 0 15 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning Saber Malekmohammadi Hong kyu Lee Li Xiong MU 148 0 0 08 Apr 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 43 0 0 02 Mar 2025
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 71 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 V. Oseledets Elena Tutubalina AILaw VLM MU 66 5 0 23 Oct 2024
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models Yan Scholten Stephan Günnemann Leo Schwinn MU 55 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 10 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 42 4 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 74 3 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 Jundong Li MU 57 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 57 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 55 7 0 24 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 39 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 39 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 65 4 0 13 Jun 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
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong kyu Lee Qiuchen Zhang Carl Yang Jian Lou Li Xiong MU SSL 19 4 0 19 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
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
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks Piyush Tiwary Atri Guha Subhodip Panda Prathosh A.P. MU GAN 55 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 21 26 0 15 Sep 2023
From Adaptive Query Release to Machine Unlearning Enayat Ullah R. Arora MU 25 4 0 20 Jul 2023
Data Redaction from Conditional Generative Models Zhifeng Kong Kamalika Chaudhuri KELM 16 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 28 49 0 06 Apr 2023
Multi-Class Unlearning for Image Classification via Weight Filtering Samuele Poppi Sara Sarto Marcella Cornia Lorenzo Baraldi Rita Cucchiara MU 22 5 0 04 Apr 2023
Towards Unbounded Machine Unlearning M. Kurmanji Peter Triantafillou Jamie Hayes Eleni Triantafillou MU 19 122 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 25 13 0 20 Feb 2023
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning Misgina Tsighe Hagos Kathleen M. Curran Brian Mac Namee 16 10 0 15 Nov 2022
LegoNet: A Fast and Exact Unlearning Architecture Sihao Yu Fei Sun J. Guo Ruqing Zhang Xueqi Cheng MU 37 7 0 28 Oct 2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning R. Chourasia Neil Shah MU 15 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 33 26 0 17 Oct 2022
Algorithms that Approximate Data Removal: New Results and Limitations Vinith M. Suriyakumar Ashia C. Wilson MU 40 27 0 25 Sep 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 50 102 0 30 Jun 2022
Data Redaction from Pre-trained GANs Zhifeng Kong Kamalika Chaudhuri 47 16 0 29 Jun 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks Dario Rossi Liang Zhang 28 13 0 26 Apr 2022
Deep Unlearning via Randomized Conditionally Independent Hessians Ronak R. Mehta Sourav Pal Vikas Singh Sathya Ravi MU 16 81 0 15 Apr 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations Tao Guo Song Guo Jiewei Zhang Wenchao Xu Junxiao Wang MU 27 17 0 27 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 16 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
Recommendation Unlearning C. L. Philip Chen Fei Sun M. Zhang Bolin Ding MU 30 85 0 18 Jan 2022
Fast Yet Effective Machine Unlearning Ayush K Tarun Vikram S Chundawat Murari Mandal Mohan S. Kankanhalli MU 31 168 0 17 Nov 2021
Lightweight machine unlearning in neural network Kongyang Chen Yiwen Wang Yao Huang MU 20 7 0 10 Nov 2021
Minimax Optimization: The Case of Convex-Submodular Arman Adibi Aryan Mokhtari Hamed Hassani 8 7 0 01 Nov 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 20 69 0 17 Sep 2021