Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers

27 January 2023

Papers citing "Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers"

29 / 29 papers shown

Title
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks Yu Zhou Dian Zheng Qijie Mo Renjie Lu Kun-Yu Lin Wei-Shi Zheng MU 68 0 0 31 Mar 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Christoforos N. Spartalis T. Semertzidis Efstratios Gavves P. Daras MU 71 0 0 24 Mar 2025
Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols Yongwoo Kim Sungmin Cha Donghyun Kim MU ELM 39 1 0 10 Mar 2025
Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding Jiancan Wu Yancheng Yuan Jinda Lu Kai Zhang Alex Su Xiang Wang Xiangnan He MU KELM 88 6 0 30 Nov 2024
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage Hengzhu Liu Tianqing Zhu Lefeng Zhang Ping Xiong MU 27 0 0 06 Nov 2024
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes Ruikai Yang M. He Zhengbao He Youmei Qiu X. Huang MU BDL 33 1 0 11 Oct 2024
Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi M. T. Bahadori Oluwaseyi Feyisetan P. Arabshahi David Heckerman 31 0 0 14 Aug 2024
Revisiting Machine Unlearning with Dimensional Alignment Seonguk Seo Dongwan Kim Bohyung Han MU 18 0 0 25 Jul 2024
Learning to Unlearn for Robust Machine Unlearning Mark He Huang Lin Geng Foo Jun Liu MU 29 7 0 15 Jul 2024
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models Bozhong Tian Xiaozhuan Liang Siyuan Cheng Qingbin Liu Mengru Wang Dianbo Sui Xi Chen Huajun Chen Ningyu Zhang MU 14 6 0 02 Jul 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 33 3 0 21 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 24 1 0 11 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 14 6 0 10 Jun 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 25 10 0 28 May 2024
Towards Natural Machine Unlearning Zhengbao He Tao Li Xinwen Cheng Zhehao Huang Xiaolin Huang MU 20 1 0 24 May 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models Jiaqi Li Qianshan Wei Chuanyi Zhang Guilin Qi Miaozeng Du Yongrui Chen Sheng Bi Fan Liu VLM MU 58 12 0 21 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 27 1 0 13 May 2024
Continual Forgetting for Pre-trained Vision Models Hongbo Zhao Bolin Ni Haochen Wang Junsong Fan Fei Zhu Yuxi Wang Yuntao Chen Gaofeng Meng Zhaoxiang Zhang MU VLM 40 11 0 18 Mar 2024
Machine Unlearning of Pre-trained Large Language Models Jin Yao Eli Chien Minxin Du Xinyao Niu Tianhao Wang Zezhou Cheng Xiang Yue MU 50 34 0 23 Feb 2024
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation Hyunjune Kim Sangyong Lee Simon S. Woo AAML MU 21 8 0 28 Dec 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 24 25 0 10 May 2023
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models Eric Zhang Kai Wang Xingqian Xu Zhangyang Wang Humphrey Shi DiffM 29 169 0 30 Mar 2023
Algorithms that Approximate Data Removal: New Results and Limitations Vinith M. Suriyakumar Ashia C. Wilson MU 40 23 0 25 Sep 2022
Architecture Matters in Continual Learning Seyed Iman Mirzadeh Arslan Chaudhry Dong Yin Timothy Nguyen Razvan Pascanu Dilan Görür Mehrdad Farajtabar OOD KELM 103 58 0 01 Feb 2022
Adversarial Continual Learning Sayna Ebrahimi Franziska Meier Roberto Calandra Trevor Darrell Marcus Rohrbach CLL VLM 135 195 0 21 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Selfless Sequential Learning Rahaf Aljundi Marcus Rohrbach Tinne Tuytelaars CLL 21 113 0 14 Jun 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 242 35,884 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 247 5,813 0 08 Jul 2016