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Knowledge Removal in Sampling-based Bayesian Inference

Knowledge Removal in Sampling-based Bayesian Inference

24 March 2022
Shaopeng Fu
Fengxiang He
Dacheng Tao
    BDL
    MU
ArXivPDFHTML

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

6 / 6 papers shown
Title
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
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
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
Gradient Surgery for One-shot Unlearning on Generative Model
Gradient Surgery for One-shot Unlearning on Generative Model
Seohui Bae
Seoyoon Kim
Hyemin Jung
Woohyung Lim
BDL
MU
24
8
0
10 Jul 2023
Machine Unlearning of Federated Clusters
Machine Unlearning of Federated Clusters
Chao Pan
Jin Sima
Saurav Prakash
Vishal Rana
O. Milenkovic
FedML
MU
39
25
0
28 Oct 2022
Mixed-Privacy Forgetting in Deep Networks
Mixed-Privacy Forgetting in Deep Networks
Aditya Golatkar
Alessandro Achille
Avinash Ravichandran
M. Polito
Stefano Soatto
CLL
MU
130
159
0
24 Dec 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Machine Unlearning: Linear Filtration for Logit-based Classifiers
Thomas Baumhauer
Pascal Schöttle
Matthias Zeppelzauer
MU
109
130
0
07 Feb 2020
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