Certified Data Removal from Machine Learning Models

8 November 2019

Chuan Guo

Tom Goldstein

Awni Y. Hannun

L. V. D. van der Maaten

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Papers citing "Certified Data Removal from Machine Learning Models"

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Title
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning Xiang Li Bhavani Thuraisingham Wenqi Wei MU AILaw ELM 37 0 0 13 May 2025
Certified Data Removal Under High-dimensional Settings Haolin Zou Arnab Auddy Yongchan Kwon Kamiar Rahnama Rad A. Maleki MU 39 0 0 12 May 2025
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
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers Xuyang Zhong Haochen Luo Chen Liu MU 30 0 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 M. Wang Sijia Liu Pin-Yu Chen MoMe 69 2 0 15 Apr 2025
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization Gen Li Yang Xiao Jie Ji Kaiyuan Deng Bo Hui Linke Guo Xiaolong Ma 24 0 0 12 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning Saber Malekmohammadi Hong kyu Lee Li Xiong MU 145 0 0 08 Apr 2025
Instance-Level Data-Use Auditing of Visual ML Models Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter MLAU 60 0 0 28 Mar 2025
Efficient Verified Machine Unlearning For Distillation Yijun Quan Zushu Li Giovanni Montana MU 27 0 0 28 Mar 2025
How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks M. Prabhakaran S. Nicolazzo Antonino Nocera Vinod Puthuvath AAML MU 91 0 0 26 Mar 2025
Human Motion Unlearning Edoardo De Matteis Matteo Migliarini Alessio Sampieri Indro Spinelli Fabio Galasso MU 55 0 0 24 Mar 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Christoforos N. Spartalis T. Semertzidis Efstratios Gavves P. Daras MU 76 0 0 24 Mar 2025
Deep Contrastive Unlearning for Language Models Estrid He Tabinda Sarwar Ibrahim Khalil X. Yi Ke Wang MU 53 0 0 19 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
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets Wenyu Wang M. Zhang Xiaotian Ye Z. Z. Ren Z. Chen Pengjie Ren MU KELM 165 0 0 06 Mar 2025
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization Aviv Shamsian E. Shaar Aviv Navon Gal Chechik Ethan Fetaya MU 64 0 0 04 Mar 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 43 0 0 02 Mar 2025
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter Zhengyi Zhong Weidong Bao Ji Wang Shuai Zhang Jingxuan Zhou Lingjuan Lyu Wei Yang Bryan Lim FedML MU 72 1 0 28 Feb 2025
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU 70 1 0 27 Feb 2025
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning Weiqi Wang Chenhan Zhang Zhiyi Tian Shushu Liu Shui Yu MU 42 0 0 27 Feb 2025
When to Forget? Complexity Trade-offs in Machine Unlearning Martin Van Waerebeke Marco Lorenzi Giovanni Neglia Kevin Scaman MU 38 0 0 24 Feb 2025
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning Linian Wang Leye Wang MU 37 1 0 24 Feb 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang Aaron Hertzmann Alexei A. Efros Jun-Yan Zhu Richard Zhang TDI 126 2 0 21 Feb 2025
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models M. Russinovich Ahmed Salem MU CLL 57 0 0 20 Feb 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning Vaidehi Patil Elias Stengel-Eskin Mohit Bansal MU CLL 75 2 0 20 Feb 2025
Towards Reliable Empirical Machine Unlearning Evaluation: A Cryptographic Game Perspective Yiwen Tu Pingbang Hu Jiaqi W. Ma MU 61 2 0 17 Feb 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning Dayong Ye Tainqing Zhu J. Li Kun Gao B. Liu L. Zhang Wanlei Zhou Y. Zhang AAML MU 80 0 0 28 Jan 2025
Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach Xunkai Li Bowen Fan Zhengyu Wu Zhiyu Li Rong-Hua Li Guoren Wang MU 30 0 0 21 Jan 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification Changchang Sun Ren Wang Yihua Zhang Jinghan Jia Jiancheng Liu Gaowen Liu Sijia Liu Yan Yan AAML MU 93 0 0 21 Dec 2024
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice A. Feder Cooper Christopher A. Choquette-Choo Miranda Bogen Matthew Jagielski Katja Filippova ... Abigail Z. Jacobs Andreas Terzis Hanna M. Wallach Nicolas Papernot Katherine Lee AILaw MU 93 10 0 09 Dec 2024
Memories of Forgotten Concepts M. Rusanovsky Shimon Malnick Amir Jevnisek Ohad Fried S. Avidan DiffM 61 0 0 01 Dec 2024
Learning to Forget using Hypernetworks Jose Miguel Lara Rangel Stefan Schoepf Jack Foster David M. Krueger Usman Anwar MU 75 1 0 01 Dec 2024
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 71 3 0 23 Nov 2024
Delta-Influence: Unlearning Poisons via Influence Functions Wenjie Li Jiawei Li Christian Schroeder de Witt Ameya Prabhu Amartya Sanyal TDI MU 92 0 0 20 Nov 2024
Verifying Machine Unlearning with Explainable AI Àlex Pujol Vidal A. S. Johansen M. N. Jahromi Sergio Escalera Kamal Nasrollahi T. Moeslund MU 64 1 0 20 Nov 2024
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
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage Hengzhu Liu Tianqing Zhu Lefeng Zhang Ping Xiong MU 34 0 0 06 Nov 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan Jiarong Xu Renhong Huang Mingli Song Chunping Wang Yang Yang AAML 38 1 0 06 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
Model Integrity when Unlearning with T2I Diffusion Models Andrea Schioppa Emiel Hoogeboom Jonathan Heek 43 1 0 04 Nov 2024
Black-Box Forgetting Yusuke Kuwana Yuta Goto Takashi Shibata Go Irie CLL MU VLM 26 0 0 01 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 41 3 0 30 Oct 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 35 2 0 23 Oct 2024
Catastrophic Failure of LLM Unlearning via Quantization Zhiwei Zhang Fali Wang Xiaomin Li Zongyu Wu Xianfeng Tang Hui Liu Qi He Wenpeng Yin Suhang Wang MU 31 5 0 21 Oct 2024
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge? Shang Wang Tianqing Zhu Dayong Ye Wanlei Zhou MU 38 2 0 20 Oct 2024
A few-shot Label Unlearning in Vertical Federated Learning Hanlin Gu Hong Xi Tae Chee Seng Chan Lixin Fan MU FedML 33 1 0 14 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
Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications Heng Xu Tianqing Zhu Wanlei Zhou MU AAML 18 1 0 14 Oct 2024
Data Deletion for Linear Regression with Noisy SGD Zhangjie Xia Chi-Hua Wang Guang Cheng 25 2 0 12 Oct 2024