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Machine Unlearning

Machine Unlearning

9 December 2019
Lucas Bourtoule
Varun Chandrasekaran
Christopher A. Choquette-Choo
Hengrui Jia
Adelin Travers
Baiwu Zhang
David Lie
Nicolas Papernot
    MU
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Papers citing "Machine Unlearning"

50 / 146 papers shown
Title
PRUNE: A Patching Based Repair Framework for Certiffable Unlearning of Neural Networks
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
49
0
0
10 May 2025
WaterDrum: Watermarking for Data-centric Unlearning Metric
WaterDrum: Watermarking for Data-centric Unlearning Metric
Xinyang Lu
Xinyuan Niu
Gregory Kang Ruey Lau
Bui Thi Cam Nhung
Rachael Hwee Ling Sim
Fanyu Wen
Chuan-Sheng Foo
S. Ng
Bryan Kian Hsiang Low
MU
59
0
0
08 May 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
Xiaoyu Xu
Minxin Du
Qingqing Ye
Haibo Hu
MU
57
0
0
07 May 2025
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning
Backdoor Defense in Diffusion Models via Spatial Attention Unlearning
Abha Jha
Ashwath Vaithinathan Aravindan
Matthew Salaway
Atharva Sandeep Bhide
Duygu Nur Yaldiz
AAML
70
0
0
21 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning
Sharpness-Aware Parameter Selection for Machine Unlearning
Saber Malekmohammadi
Hong kyu Lee
Li Xiong
MU
154
0
0
08 Apr 2025
Not All Data Are Unlearned Equally
Not All Data Are Unlearned Equally
Aravind Krishnan
Siva Reddy
Marius Mosbach
MU
142
0
0
07 Apr 2025
A Survey on Unlearnable Data
A Survey on Unlearnable Data
Jiahao Li
Yiqiang Chen
Yunbing Xing
Yang Gu
Xiangyuan Lan
AAML
58
0
0
30 Mar 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
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
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
168
0
0
06 Mar 2025
AMUN: Adversarial Machine UNlearning
AMUN: Adversarial Machine UNlearning
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
MU
AAML
43
0
0
02 Mar 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
75
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
A General Framework to Enhance Fine-tuning-based LLM Unlearning
A General Framework to Enhance Fine-tuning-based LLM Unlearning
J. Ren
Zhenwei Dai
X. Tang
Hui Liu
Jingying Zeng
...
R. Goutam
Suhang Wang
Yue Xing
Qi He
Hui Liu
MU
163
1
0
25 Feb 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
Jaydeep Borkar
Matthew Jagielski
Katherine Lee
Niloofar Mireshghallah
David A. Smith
Christopher A. Choquette-Choo
PILM
80
1
0
24 Feb 2025
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
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
128
2
0
21 Feb 2025
Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization
Controllable Unlearning for Image-to-Image Generative Models via ε\varepsilonε-Constrained Optimization
Xiaohua Feng
Chao-Jun Chen
Yuyuan Li
L. Zhang
Longfei Li
Jun Zhou
Xiaolin Zheng
MU
73
0
0
20 Feb 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning
Vaidehi Patil
Elias Stengel-Eskin
Mohit Bansal
MU
CLL
75
2
0
20 Feb 2025
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning
Junkai Chen
Zhijie Deng
Kening Zheng
Yibo Yan
Shuliang Liu
PeiJun Wu
Peijie Jiang
J. Liu
Xuming Hu
MU
61
3
0
18 Feb 2025
Jailbreaking to Jailbreak
Jailbreaking to Jailbreak
Jeremy Kritz
Vaughn Robinson
Robert Vacareanu
Bijan Varjavand
Michael Choi
Bobby Gogov
Scale Red Team
Summer Yue
Willow Primack
Zifan Wang
197
1
0
09 Feb 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning
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
Unlearning Clients, Features and Samples in Vertical Federated Learning
Unlearning Clients, Features and Samples in Vertical Federated Learning
Ayush K. Varshney
Konstantinos Vandikas
V. Torra
MU
36
1
0
23 Jan 2025
Episodic memory in AI agents poses risks that should be studied and mitigated
Episodic memory in AI agents poses risks that should be studied and mitigated
Chad DeChant
62
2
0
20 Jan 2025
Unified Parameter-Efficient Unlearning for LLMs
Chenlu Ding
Jiancan Wu
Yancheng Yuan
Jinda Lu
Kai Zhang
Alex Su
Xiang Wang
Xiangnan He
MU
KELM
100
6
0
30 Nov 2024
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient
Lei Zhou
Youwen Zhu
Qiao Xue
Ji Zhang
Pengfei Zhang
MU
87
1
0
28 Nov 2024
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
Yingzi Ma
Jiongxiao Wang
Fei-Yue Wang
Siyuan Ma
Jiazhao Li
...
B. Li
Yejin Choi
M. Chen
Chaowei Xiao
Chaowei Xiao
MU
52
6
0
05 Nov 2024
Identify Backdoored Model in Federated Learning via Individual
  Unlearning
Identify Backdoored Model in Federated Learning via Individual Unlearning
Jiahao Xu
Zikai Zhang
Rui Hu
FedML
AAML
60
1
0
01 Nov 2024
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
Zhiqi Bu
Xiaomeng Jin
Bhanukiran Vinzamuri
Anil Ramakrishna
Kai-Wei Chang
V. Cevher
Mingyi Hong
MU
85
6
0
29 Oct 2024
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
Jinxu Lin
Linwei Tao
Minjing Dong
Chang Xu
TDI
38
2
0
24 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
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
A Closer Look at Machine Unlearning for Large Language Models
A Closer Look at Machine Unlearning for Large Language Models
Xiaojian Yuan
Tianyu Pang
Chao Du
Kejiang Chen
Weiming Zhang
Min-Bin Lin
MU
41
5
0
10 Oct 2024
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
Vinith M. Suriyakumar
Rohan Alur
Ayush Sekhari
Manish Raghavan
Ashia C. Wilson
53
2
0
10 Oct 2024
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
Chongyu Fan
Jiancheng Liu
Licong Lin
Jinghan Jia
Ruiqi Zhang
Song Mei
Sijia Liu
MU
43
16
0
09 Oct 2024
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
Yan Scholten
Stephan Günnemann
Leo Schwinn
MU
55
6
0
04 Oct 2024
Mitigating Memorization In Language Models
Mitigating Memorization In Language Models
Mansi Sakarvadia
Aswathy Ajith
Arham Khan
Nathaniel Hudson
Caleb Geniesse
Kyle Chard
Yaoqing Yang
Ian Foster
Michael W. Mahoney
KELM
MU
58
0
0
03 Oct 2024
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Position: LLM Unlearning Benchmarks are Weak Measures of Progress
Pratiksha Thaker
Shengyuan Hu
Neil Kale
Yash Maurya
Zhiwei Steven Wu
Virginia Smith
MU
53
10
0
03 Oct 2024
Undesirable Memorization in Large Language Models: A Survey
Undesirable Memorization in Large Language Models: A Survey
Ali Satvaty
Suzan Verberne
Fatih Turkmen
ELM
PILM
71
7
0
03 Oct 2024
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
DynFrs: An Efficient Framework for Machine Unlearning in Random Forest
Shurong Wang
Zhuoyang Shen
Xinbao Qiao
Tongning Zhang
Meng Zhang
MU
21
0
0
02 Oct 2024
An Adversarial Perspective on Machine Unlearning for AI Safety
An Adversarial Perspective on Machine Unlearning for AI Safety
Jakub Łucki
Boyi Wei
Yangsibo Huang
Peter Henderson
F. Tramèr
Javier Rando
MU
AAML
71
31
0
26 Sep 2024
Alternate Preference Optimization for Unlearning Factual Knowledge in
  Large Language Models
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models
Anmol Mekala
Vineeth Dorna
Shreya Dubey
Abhishek Lalwani
David Koleczek
Mukund Rungta
Sadid Hasan
Elita Lobo
KELM
MU
38
2
0
20 Sep 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models
Tianqi Chen
Shujian Zhang
Mingyuan Zhou
DiffM
83
3
0
17 Sep 2024
Accurate Forgetting for All-in-One Image Restoration Model
Accurate Forgetting for All-in-One Image Restoration Model
Xin Su
Zhuoran Zheng
CLL
26
1
0
01 Sep 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive
  Survey
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
V. T. Truong
Luan Ba Dang
Long Bao Le
DiffM
MedIm
50
16
0
06 Aug 2024
Towards Certified Unlearning for Deep Neural Networks
Towards Certified Unlearning for Deep Neural Networks
Binchi Zhang
Yushun Dong
Tianhao Wang
Jundong Li
MU
64
7
0
01 Aug 2024
Strong Copyright Protection for Language Models via Adaptive Model
  Fusion
Strong Copyright Protection for Language Models via Adaptive Model Fusion
Javier Abad
Konstantin Donhauser
Francesco Pinto
Fanny Yang
45
4
0
29 Jul 2024
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Haoyu Tang
Ye Liu
Xukai Liu
Xukai Liu
Yanghai Zhang
Kai Zhang
Xiaofang Zhou
Enhong Chen
MU
67
3
0
25 Jul 2024
Unlearning Concepts from Text-to-Video Diffusion Models
Unlearning Concepts from Text-to-Video Diffusion Models
Shiqi Liu
Yihua Tan
DiffM
41
0
0
19 Jul 2024
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Learning to Refuse: Towards Mitigating Privacy Risks in LLMs
Zhenhua Liu
Tong Zhu
Chuanyuan Tan
Wenliang Chen
PILM
MU
48
8
0
14 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness
  Analysis
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
Chao Feng
Alberto Huertas Celdrán
Jan von der Assen
Enrique Tomás Martínez Beltrán
Gérome Bovet
Burkhard Stiller
OOD
AAML
54
8
0
11 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks
Machine Unlearning Fails to Remove Data Poisoning Attacks
Martin Pawelczyk
Jimmy Z. Di
Yiwei Lu
Gautam Kamath
Ayush Sekhari
Seth Neel
AAML
MU
57
8
0
25 Jun 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Somnath Basu Roy Chowdhury
Krzysztof Choromanski
Arijit Sehanobish
Avinava Dubey
Snigdha Chaturvedi
MU
55
7
0
24 Jun 2024
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