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Making AI Forget You: Data Deletion in Machine Learning

11 July 2019

Papers citing "Making AI Forget You: Data Deletion in Machine Learning"

50 / 134 papers shown

Title
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification, Challenges, and Future Directions Lulu Xue Shengshan Hu Wei Lu Yan Shen Dongxu Li Peijin Guo Ziqi Zhou Minghui Li Yanjun Zhang Leo Yu Zhang MU AAML 15 0 0 18 Jun 2025
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective Nima Naderloui Shenao Yan Binghui Wang Jie Fu Wendy Hui Wang Weiran Liu Yuan Hong AAML 28 0 0 16 Jun 2025
Certified Unlearning for Neural Networks Anastasia Koloskova Youssef Allouah Animesh Jha R. Guerraoui Sanmi Koyejo MU 40 0 0 08 Jun 2025
Distillation Robustifies Unlearning Bruce W. Lee Addie Foote Alex Infanger Leni Shor Harish Kamath Jacob Goldman-Wetzler Bryce Woodworth Alex Cloud Alexander Matt Turner MU 50 0 0 06 Jun 2025
A Certified Unlearning Approach without Access to Source Data Umit Yigit Basaran Sk. Miraj Ahmed Amit K. Roy-Chowdhury Başak Güler MU 22 0 0 06 Jun 2025
Rethinking Machine Unlearning in Image Generation Models Renyang Liu Wenjie Feng Tianwei Zhang Wei Zhou Xueqi Cheng See-Kiong Ng MU VLM 49 0 0 03 Jun 2025
Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack SeungBum Ha Saerom Park Sung Whan Yoon MU CLL 58 0 1 02 Jun 2025
Existing Large Language Model Unlearning Evaluations Are Inconclusive Zhili Feng Yixuan Even Xu Alexander Robey Robert Kirk Xander Davies Yarin Gal Avi Schwarzschild J. Zico Kolter MU ELM 25 0 0 31 May 2025
Precise In-Parameter Concept Erasure in Large Language Models Yoav Gur-Arieh Clara Suslik Yihuai Hong Fazl Barez Mor Geva KELM MU 88 0 0 28 May 2025
BLUR: A Benchmark for LLM Unlearning Robust to Forget-Retain Overlap Shengyuan Hu Neil Kale Pratiksha Thaker Yiwei Fu Steven Wu Virginia Smith MU AAML CLL 9 0 0 28 May 2025
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 85 1 0 21 May 2025
Privacy-Aware Lifelong Learning Ozan Özdenizci Elmar Rueckert Robert Legenstein CLL MU KELM 106 1 0 16 May 2025
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks Xuzhao Li Jingyi Wang Xiaohan Yuan Peixin Zhang AAML MU 121 0 0 10 May 2025
The Dual Power of Interpretable Token Embeddings: Jailbreaking Attacks and Defenses for Diffusion Model Unlearning Siyi Chen Yimeng Zhang Sijia Liu Q. Qu AAML 422 0 0 30 Apr 2025
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers Xuyang Zhong Haochen Luo Chen Liu MU 71 1 0 22 Apr 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 258 10 0 15 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning Saber Malekmohammadi Hong kyu Lee Li Xiong MU 511 0 0 08 Apr 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 92 0 0 02 Mar 2025
When to Forget? Complexity Trade-offs in Machine Unlearning Martin Van Waerebeke Marco Lorenzi Giovanni Neglia Kevin Scaman MU 76 0 0 24 Feb 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning Vaidehi Patil Elias Stengel-Eskin Joey Tianyi Zhou MU CLL 114 4 0 20 Feb 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu Junlong Li Kun Gao B. Liu Lefei Zhang Wanlei Zhou Yanmei Zhang AAML MU 167 1 0 28 Jan 2025
Unlearning Clients, Features and Samples in Vertical Federated Learning Ayush K. Varshney Konstantinos Vandikas V. Torra MU 85 1 0 23 Jan 2025
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning Zihao Zhao Yijiang Li Yue Yang Wenqing Zhang Nuno Vasconcelos Yinzhi Cao MU 83 1 0 04 Nov 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia Jiancheng Liu Yihua Zhang Parikshit Ram Nathalie Baracaldo Sijia Liu MU 156 8 0 23 Oct 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 268 0 0 10 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 132 25 0 03 Oct 2024
Deep Unlearn: Benchmarking Machine Unlearning for Image Classification Xavier F. Cadet Anastasia Borovykh Mohammad Malekzadeh S. Ahmadi-Abhari Hamed Haddadi BDL MU 96 2 0 02 Oct 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 189 5 0 17 Sep 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions Siqiao Mu Diego Klabjan MU 136 5 0 15 Sep 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 71 0 0 05 Sep 2024
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model Zhuan Shi Jing Yan Xiaoli Tang Lingjuan Lyu Boi Faltings 76 1 0 29 Aug 2024
Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi M. T. Bahadori Oluwaseyi Feyisetan P. Arabshahi David Heckerman 114 0 0 14 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 165 13 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 162 17 0 25 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 106 4 0 21 Jun 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs S. Kadhe Farhan Ahmed Dennis Wei Nathalie Baracaldo Inkit Padhi MoMe MU 90 8 0 17 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Wanrong Zhang Yuanshun Yao Sijia Liu Yang Liu 80 4 0 11 Jun 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning Jinghan Jia Yihua Zhang Yimeng Zhang Jiancheng Liu Bharat Runwal James Diffenderfer B. Kailkhura Sijia Liu MU 190 50 0 28 Apr 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 108 3 0 22 Apr 2024
Machine Unlearning via Null Space Calibration Huiqiang Chen Tianqing Zhu Xin Yu Wanlei Zhou 87 9 0 21 Apr 2024
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning Jonathan Lebensold Maziar Sanjabi Pietro Astolfi Adriana Romero Soriano Kamalika Chaudhuri Mike Rabbat Chuan Guo DiffM 77 4 0 21 Mar 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 92 18 0 21 Feb 2024
Discriminative Adversarial Unlearning Rohan Sharma Shijie Zhou Kaiyi Ji Changyou Chen MU 65 1 0 10 Feb 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks Jing Wu Mehrtash Harandi 105 17 0 11 Jan 2024
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 111 9 0 18 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 98 15 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 122 201 0 25 Oct 2023
Open Knowledge Base Canonicalization with Multi-task Unlearning Bingchen Liu Shihao Hou Weixin Zeng Xiang Zhao Shijun Liu Li Pan 38 0 0 25 Oct 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now Yimeng Zhang Jinghan Jia Xin Chen Aochuan Chen Yihua Zhang Jiancheng Liu Ke Ding Sijia Liu DiffM 177 101 0 18 Oct 2023
Defending Our Privacy With Backdoors Dominik Hintersdorf Lukas Struppek Daniel Neider Kristian Kersting SILM AAML 118 2 0 12 Oct 2023