PUMA: Performance Unchanged Model Augmentation for Training Data Removal

2 March 2022

Papers citing "PUMA: Performance Unchanged Model Augmentation for Training Data Removal"

36 / 36 papers shown

Title
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning Xiang Li Bhavani Thuraisingham Wenqi Wei MU AILaw ELM 18 0 0 13 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 42 0 0 10 May 2025
DRIP: DRop unImportant data Points -- Enhancing Machine Learning Efficiency with Grad-CAM-Based Real-Time Data Prioritization for On-Device Training Marcus Rüb Daniel Konegen Axel Sikora Daniel Mueller-Gritschneder 14 0 0 11 Apr 2025
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization Aviv Shamsian E. Shaar Aviv Navon Gal Chechik Ethan Fetaya MU 58 0 0 04 Mar 2025
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning Weiqi Wang Chenhan Zhang Zhiyi Tian Shushu Liu Shui Yu MU 36 0 0 27 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
Memories of Forgotten Concepts M. Rusanovsky Shimon Malnick Amir Jevnisek Ohad Fried S. Avidan DiffM 61 0 0 01 Dec 2024
MUNBa: Machine Unlearning via Nash Bargaining Jing Wu Mehrtash Harandi MU 71 3 0 23 Nov 2024
LLM Unlearning via Loss Adjustment with Only Forget Data Yaxuan Wang Jiaheng Wei Chris Liu Jinlong Pang Q. Liu A. Shah Yujia Bao Yang Liu Wei Wei KELM MU 32 6 0 14 Oct 2024
MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes Ruikai Yang M. He Zhengbao He Youmei Qiu X. Huang MU BDL 35 1 0 11 Oct 2024
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence Chaochao Chen Jiaming Zhang Yizhao Zhang Li Zhang Lingjuan Lyu Yuyuan Li Biao Gong Chenggang Yan CML ELM MU 27 3 0 26 Aug 2024
"Forgetting" in Machine Learning and Beyond: A Survey Alyssa Shuang Sha Bernardo Pereira Nunes Armin Haller MU KELM 25 1 0 31 May 2024
Towards Natural Machine Unlearning Zhengbao He Tao Li Xinwen Cheng Zhehao Huang Xiaolin Huang MU 28 3 0 24 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 30 13 0 13 May 2024
Machine Unlearning in Contrastive Learning Zixin Wang Kongyang Chen MU SSL 14 0 0 12 May 2024
Automated Program Repair: Emerging trends pose and expose problems for benchmarks J. Renzullo Pemma Reiter Westley Weimer Stephanie Forrest 31 1 0 08 May 2024
Debiasing Machine Unlearning with Counterfactual Examples Ziheng Chen Jia Wang Jun Zhuang Abbavaram Gowtham Reddy Fabrizio Silvestri Jin Huang Kaushiki Nag Kun Kuang Xin Ning Gabriele Tolomei MU CML 25 3 0 24 Apr 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images Jacopo Bonato Marco Cotogni Luigi Sabetta MU CLL 42 4 0 19 Apr 2024
LMEraser: Large Model Unlearning through Adaptive Prompt Tuning Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 18 1 0 17 Apr 2024
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective Subhodip Panda S. Sourav Prathosh A.P. MU 39 1 0 24 Mar 2024
A Comprehensive Study of Knowledge Editing for Large Language Models Ningyu Zhang Yunzhi Yao Bo Tian Peng Wang Shumin Deng ... Lei Liang Zhiqiang Zhang Xiao-Jun Zhu Jun Zhou Huajun Chen KELM 26 76 0 02 Jan 2024
Deeper Understanding of Black-box Predictions via Generalized Influence Functions Hyeonsu Lyu Jonggyu Jang Sehyun Ryu H. Yang TDI AI4CE 8 5 0 09 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 36 7 0 04 Dec 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 53 7 0 25 Sep 2023
Task-Aware Machine Unlearning and Its Application in Load Forecasting Wangkun Xu Fei Teng MU AI4TS 10 3 0 28 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 33 46 0 14 Aug 2023
Recommendation Unlearning via Matrix Correction Jiahao Liu Dongsheng Li Hansu Gu T. Lu Jiongran Wu Peng Zhang Li Shang Ning Gu MU 13 4 0 29 Jul 2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities Alexander X. Oesterling Jiaqi Ma Flavio du Pin Calmon Hima Lakkaraju FaML MU 15 18 0 27 Jul 2023
Unveiling Security, Privacy, and Ethical Concerns of ChatGPT Xiaodong Wu R. Duan Jianbing Ni SILM 17 172 0 26 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 46 0 16 Jul 2023
Machine Unlearning: A Survey Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu MU 31 19 0 06 Jun 2023
Editing Large Language Models: Problems, Methods, and Opportunities Yunzhi Yao Peng Wang Bo Tian Shuyang Cheng Zhoubo Li Shumin Deng Huajun Chen Ningyu Zhang KELM 30 278 0 22 May 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection Weilin Cong Mehrdad Mahdavi MU 16 17 0 17 Feb 2023
Taming Normalizing Flows Shimon Malnick S. Avidan Ohad Fried TPM DiffM 8 1 0 29 Nov 2022
An Introduction to Machine Unlearning Salvatore Mercuri Raad Khraishi Ramin Okhrati Devesh Batra Conor B. Hamill T. Ghasempour Andrew Nowlan MU 22 14 0 02 Sep 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation Yuyuan Li Xiaolin Zheng Chaochao Chen Junlin Liu MU 26 39 0 22 Mar 2022