Knowledge Removal in Sampling-based Bayesian Inference

Knowledge Removal in Sampling-based Bayesian Inference

24 March 2022

Papers citing "Knowledge Removal in Sampling-based Bayesian Inference"

17 / 17 papers shown

Title
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU 78 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 47 0 0 27 Feb 2025
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning Zihao Zhao Yijiang Li Yuqing Yang Wenqing Zhang Nuno Vasconcelos Yinzhi Cao MU 32 1 0 04 Nov 2024
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging Zhipeng Deng Luyang Luo Hao Chen MU 40 2 0 02 Jul 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 36 14 0 13 May 2024
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection Tuan Hoang Santu Rana Sunil R. Gupta Svetha Venkatesh BDL MU 24 21 0 07 Dec 2023
DUCK: Distance-based Unlearning via Centroid Kinematics Marco Cotogni Jacopo Bonato Luigi Sabetta Francesco Pelosin Alessandro Nicolosi MU 55 7 0 04 Dec 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 50 48 0 14 Aug 2023
Gradient Surgery for One-shot Unlearning on Generative Model Seohui Bae Seoyoon Kim Hyemin Jung Woohyung Lim BDL MU 29 8 0 10 Jul 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 47 37 0 26 Feb 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection Weilin Cong Mehrdad Mahdavi MU 16 18 0 17 Feb 2023
Machine Unlearning of Federated Clusters Chao Pan Jin Sima Saurav Prakash Vishal Rana O. Milenkovic FedML MU 41 25 0 28 Oct 2022
An Introduction to Machine Unlearning Salvatore Mercuri Raad Khraishi Ramin Okhrati Devesh Batra Conor B. Hamill T. Ghasempour Andrew Nowlan MU 30 14 0 02 Sep 2022
Evaluating Machine Unlearning via Epistemic Uncertainty Alexander Becker Thomas Liebig UD ELM MU 25 34 0 23 Aug 2022
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten Q. Nguyen Ryutaro Oikawa D. Divakaran M. Chan K. H. Low MU 25 37 0 28 Feb 2022
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 130 160 0 24 Dec 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 114 130 0 07 Feb 2020