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Fast Yet Effective Machine Unlearning

Fast Yet Effective Machine Unlearning

17 November 2021
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Mohan S. Kankanhalli
    MU
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Papers citing "Fast Yet Effective Machine Unlearning"

50 / 113 papers shown
Title
Erase to Enhance: Data-Efficient Machine Unlearning in MRI
  Reconstruction
Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
Yuyang Xue
Jingshuai Liu
Steven G. McDonagh
Sotirios A. Tsaftaris
MU
16
1
0
24 May 2024
Towards Natural Machine Unlearning
Towards Natural Machine Unlearning
Zhengbao He
Tao Li
Xinwen Cheng
Zhehao Huang
Xiaolin Huang
MU
22
3
0
24 May 2024
Machine Unlearning in Large Language Models
Machine Unlearning in Large Language Models
Saaketh Koundinya Gundavarapu
Shreya Agarwal
Arushi Arora
Chandana Thimmalapura Jagadeeshaiah
MU
11
0
0
24 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Hanlin Gu
W. Ong
Chee Seng Chan
Lixin Fan
MU
21
7
0
23 May 2024
Generative Unlearning for Any Identity
Generative Unlearning for Any Identity
Juwon Seo
Sung-Hoon Lee
Tae-Young Lee
Seungjun Moon
Gyeong-Moon Park
32
5
0
16 May 2024
Machine Unlearning: A Comprehensive Survey
Machine Unlearning: A Comprehensive Survey
Weiqi Wang
Zhiyi Tian
Chenhan Zhang
Shui Yu
MU
AILaw
30
13
0
13 May 2024
Machine Unlearning for Document Classification
Machine Unlearning for Document Classification
Lei Kang
Mohamed Ali Souibgui
Fei Yang
Lluís Gómez
Ernest Valveny
Dimosthenis Karatzas
MU
AILaw
31
4
0
29 Apr 2024
Ungeneralizable Examples
Ungeneralizable Examples
Jing Ye
Xinchao Wang
28
4
0
22 Apr 2024
Is Retain Set All You Need in Machine Unlearning? Restoring Performance
  of Unlearned Models with Out-Of-Distribution Images
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
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
Shao Shen
Chenhao Zhang
Yawen Zhao
Alina Bialkowski
Tony Weitong Chen
Miao Xu
MU
25
6
0
31 Mar 2024
Partially Blinded Unlearning: Class Unlearning for Deep Networks a
  Bayesian Perspective
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective
Subhodip Panda
S. Sourav
Prathosh A.P.
MU
34
1
0
24 Mar 2024
Towards Lifecycle Unlearning Commitment Management: Measuring
  Sample-level Approximate Unlearning Completeness
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness
Cheng-Long Wang
Qi Li
Zihang Xiang
Yinzhi Cao
Di Wang
MU
19
1
0
19 Mar 2024
Efficient Knowledge Deletion from Trained Models through Layer-wise
  Partial Machine Unlearning
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning
Vinay Chakravarthi Gogineni
E. Nadimi
MU
21
1
0
12 Mar 2024
Guardrail Baselines for Unlearning in LLMs
Guardrail Baselines for Unlearning in LLMs
Pratiksha Thaker
Yash Maurya
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
MU
43
37
0
05 Mar 2024
Dissecting Language Models: Machine Unlearning via Selective Pruning
Dissecting Language Models: Machine Unlearning via Selective Pruning
Nicholas Pochinkov
Nandi Schoots
MILM
MU
16
5
0
02 Mar 2024
Machine Unlearning of Pre-trained Large Language Models
Machine Unlearning of Pre-trained Large Language Models
Jin Yao
Eli Chien
Minxin Du
Xinyao Niu
Tianhao Wang
Zezhou Cheng
Xiang Yue
MU
50
34
0
23 Feb 2024
Corrective Machine Unlearning
Corrective Machine Unlearning
Shashwat Goel
Ameya Prabhu
Philip H. S. Torr
Ponnurangam Kumaraguru
Amartya Sanyal
OnRL
25
13
0
21 Feb 2024
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied
  to Vision Transformers
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers
Ikhyun Cho
Changyeon Park
J. Hockenmaier
18
0
0
07 Feb 2024
Parameter-tuning-free data entry error unlearning with adaptive
  selective synaptic dampening
Parameter-tuning-free data entry error unlearning with adaptive selective synaptic dampening
Stefan Schoepf
Jack Foster
Alexandra Brintrup
MU
10
6
0
06 Feb 2024
An Information Theoretic Approach to Machine Unlearning
An Information Theoretic Approach to Machine Unlearning
Jack Foster
Kyle Fogarty
Stefan Schoepf
Cengiz Öztireli
Alexandra Brintrup
MU
26
4
0
02 Feb 2024
Federated Unlearning: a Perspective of Stability and Fairness
Federated Unlearning: a Perspective of Stability and Fairness
Jiaqi Shao
Tao Lin
Xuanyu Cao
Bing Luo
MU
15
7
0
02 Feb 2024
Machine Unlearning for Image-to-Image Generative Models
Machine Unlearning for Image-to-Image Generative Models
Guihong Li
Hsiang Hsu
Chun-Fu Chen
R. Marculescu
MU
VLM
64
24
0
01 Feb 2024
Dataset Condensation Driven Machine Unlearning
Dataset Condensation Driven Machine Unlearning
Junaid Iqbal Khan
DD
25
1
0
31 Jan 2024
CaMU: Disentangling Causal Effects in Deep Model Unlearning
CaMU: Disentangling Causal Effects in Deep Model Unlearning
Shao Shen
Chenhao Zhang
Alina Bialkowski
Weitong Chen
Miao Xu
CML
MU
14
2
0
30 Jan 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
Hong kyu Lee
Qiuchen Zhang
Carl Yang
Jian Lou
Li Xiong
MU
SSL
11
4
0
19 Jan 2024
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward
  Machine Unlearning through Parameter Re-initialization
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization
Yoonhwa Jung
Ikhyun Cho
Shun-Hsiang Hsu
J. Hockenmaier
AAML
MU
12
4
0
17 Jan 2024
EraseDiff: Erasing Data Influence in Diffusion Models
EraseDiff: Erasing Data Influence in Diffusion Models
Jing Wu
Trung Le
Munawar Hayat
Mehrtash Harandi
DiffM
64
14
0
11 Jan 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in
  Networks
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
Jing Wu
Mehrtash Harandi
23
12
0
11 Jan 2024
Machine unlearning through fine-grained model parameters perturbation
Machine unlearning through fine-grained model parameters perturbation
Zhiwei Zuo
Zhuo Tang
KenLi Li
Anwitaman Datta
AAML
MU
19
0
0
09 Jan 2024
DUCK: Distance-based Unlearning via Centroid Kinematics
DUCK: Distance-based Unlearning via Centroid Kinematics
Marco Cotogni
Jacopo Bonato
Luigi Sabetta
Francesco Pelosin
Alessandro Nicolosi
MU
33
7
0
04 Dec 2023
Deep Unlearning: Fast and Efficient Training-free Approach to Class
  Forgetting
Deep Unlearning: Fast and Efficient Training-free Approach to Class Forgetting
Sangamesh Kodge
Gobinda Saha
Kaushik Roy
MU
CLL
14
0
0
01 Dec 2023
Unlearning via Sparse Representations
Unlearning via Sparse Representations
Vedant Shah
Frederik Trauble
Ashish Malik
Hugo Larochelle
Michael C. Mozer
Sanjeev Arora
Yoshua Bengio
Anirudh Goyal
MU
11
9
0
26 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance
  Navigation
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation
Ali Abbasi
Chayne Thrash
Elaheh Akbari
Daniel Zhang
Soheil Kolouri
MU
16
3
0
21 Nov 2023
MultiDelete for Multimodal Machine Unlearning
MultiDelete for Multimodal Machine Unlearning
Jiali Cheng
Hadi Amiri
MU
36
7
0
18 Nov 2023
DeepClean: Machine Unlearning on the Cheap by Resetting Privacy
  Sensitive Weights using the Fisher Diagonal
DeepClean: Machine Unlearning on the Cheap by Resetting Privacy Sensitive Weights using the Fisher Diagonal
Jiaeli Shi
Najah F. Ghalyan
Kostis Gourgoulias
John Buford
Sean J. Moran
MU
8
2
0
17 Nov 2023
Large Language Model Unlearning
Large Language Model Unlearning
Yuanshun Yao
Xiaojun Xu
Yang Liu
MU
13
108
0
14 Oct 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge
  Distillation
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation
Yash Sinha
Murari Mandal
Mohan S. Kankanhalli
MU
19
10
0
28 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in
  Machine Unlearning Services
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services
Hongsheng Hu
Shuo Wang
Jiamin Chang
Haonan Zhong
Ruoxi Sun
Shuang Hao
Haojin Zhu
Minhui Xue
MU
14
25
0
15 Sep 2023
My Art My Choice: Adversarial Protection Against Unruly AI
My Art My Choice: Adversarial Protection Against Unruly AI
Anthony Rhodes
Ram Bhagat
U. Ciftci
Ilke Demir
DiffM
20
4
0
06 Sep 2023
Generative Adversarial Networks Unlearning
Generative Adversarial Networks Unlearning
Hui Sun
Tianqing Zhu
Wenhan Chang
Wanlei Zhou
MU
GAN
17
6
0
19 Aug 2023
Fast Machine Unlearning Without Retraining Through Selective Synaptic
  Dampening
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
Jack Foster
Stefan Schoepf
Alexandra Brintrup
MU
20
82
0
15 Aug 2023
Machine Unlearning: Solutions and Challenges
Machine Unlearning: Solutions and Challenges
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
MU
30
45
0
14 Aug 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Xudong Shen
H. Brown
Jiashu Tao
Martin Strobel
Yao Tong
Akshay Narayan
Harold Soh
Finale Doshi-Velez
11
3
0
22 Jun 2023
One-Shot Machine Unlearning with Mnemonic Code
One-Shot Machine Unlearning with Mnemonic Code
Tomoya Yamashita
Masanori Yamada
Takashi Shibata
MU
10
1
0
09 Jun 2023
Machine Unlearning: A Survey
Machine Unlearning: A Survey
Heng Xu
Tianqing Zhu
Lefeng Zhang
Wanlei Zhou
Philip S. Yu
MU
26
19
0
06 Jun 2023
Machine Unlearning: its nature, scope, and importance for a "delete
  culture"
Machine Unlearning: its nature, scope, and importance for a "delete culture"
Luciano Floridi
AILaw
MU
19
6
0
24 May 2023
Editing Large Language Models: Problems, Methods, and Opportunities
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
275
0
22 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
30
25
0
10 May 2023
Multi-Class Unlearning for Image Classification via Weight Filtering
Multi-Class Unlearning for Image Classification via Weight Filtering
Samuele Poppi
Sara Sarto
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
MU
14
5
0
04 Apr 2023
Boundary Unlearning
Boundary Unlearning
Min Chen
Weizhuo Gao
Gaoyang Liu
Kai Peng
Chen Wang
MU
101
69
0
21 Mar 2023
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