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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
ArXivPDFHTML

Papers citing "Machine Unlearning"

50 / 524 papers shown
Title
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
44
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
37
2
0
23 Oct 2024
Exploring Forgetting in Large Language Model Pre-Training
Exploring Forgetting in Large Language Model Pre-Training
Chonghua Liao
Ruobing Xie
Xingchen Sun
Haowen Sun
Zhanhui Kang
CLL
38
0
0
22 Oct 2024
Catastrophic Failure of LLM Unlearning via Quantization
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang
Fali Wang
Xiaomin Li
Zongyu Wu
Xianfeng Tang
Hui Liu
Qi He
Wenpeng Yin
Suhang Wang
MU
42
6
0
21 Oct 2024
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep
  Secret or Forget Knowledge?
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
Shang Wang
Tianqing Zhu
Dayong Ye
Wanlei Zhou
MU
40
2
0
20 Oct 2024
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and
  Future Trends
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends
Junjun Jiang
Zengyuan Zuo
Gang Wu
Kui Jiang
Xianming Liu
53
10
0
19 Oct 2024
"Confrontation or Acceptance": Understanding Novice Visual Artists'
  Perception towards AI-assisted Art Creation
"Confrontation or Acceptance": Understanding Novice Visual Artists' Perception towards AI-assisted Art Creation
Shuning Zhang
Shixuan Li
33
1
0
19 Oct 2024
Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning
Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning
Minseok Choi
C. Park
Dohyun Lee
Jaegul Choo
KELM
MU
31
1
0
17 Oct 2024
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on
  Resource-Constrained Devices
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices
Xiaoyu Xia
Ziqi Wang
Ruoxi Sun
B. Liu
Ibrahim Khalil
Minhui Xue
MU
35
2
0
14 Oct 2024
Evaluating of Machine Unlearning: Robustness Verification Without Prior
  Modifications
Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications
Heng Xu
Tianqing Zhu
Wanlei Zhou
MU
AAML
26
1
0
14 Oct 2024
Data Deletion for Linear Regression with Noisy SGD
Data Deletion for Linear Regression with Noisy SGD
Zhangjie Xia
Chi-Hua Wang
Guang Cheng
30
2
0
12 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
43
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 Suriyakumar
Rohan Alur
Ayush Sekhari
Manish Raghavan
Ashia Wilson
55
2
0
10 Oct 2024
Unlearning-based Neural Interpretations
Unlearning-based Neural Interpretations
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
47
0
0
10 Oct 2024
TCGU: Data-centric Graph Unlearning based on Transferable Condensation
TCGU: Data-centric Graph Unlearning based on Transferable Condensation
Fan Li
Xiaoyang Wang
Dawei Cheng
Wenjie Zhang
Ying Zhang
Xuemin Lin
MU
33
2
0
09 Oct 2024
Machine Unlearning in Forgettability Sequence
Machine Unlearning in Forgettability Sequence
Junjie Chen
Qian Chen
Jian Lou
Xiaoyu Zhang
Kai Wu
Zilong Wang
MU
23
0
0
09 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
17
0
09 Oct 2024
OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized
  Distributions
OD-Stega: LLM-Based Near-Imperceptible Steganography via Optimized Distributions
Yu-Shin Huang
Peter Just
Krishna Narayanan
Chao Tian
37
4
0
06 Oct 2024
ConDa: Fast Federated Unlearning with Contribution Dampening
ConDa: Fast Federated Unlearning with Contribution Dampening
Vikram S Chundawat
Pushkar Niroula
Prasanna Dhungana
Stefan Schoepf
Murari Mandal
Alexandra Brintrup
FedML
26
3
0
05 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
60
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
1
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
77
7
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
Deep Unlearn: Benchmarking Machine Unlearning
Deep Unlearn: Benchmarking Machine Unlearning
Xavier F. Cadet
Anastasia Borovykh
Mohammad Malekzadeh
S. Ahmadi-Abhari
Hamed Haddadi
BDL
MU
37
1
0
02 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
26
0
0
02 Oct 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry
  Enhancement
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
Zhehao Huang
Xinwen Cheng
JingHao Zheng
Haoran Wang
Zhengbao He
Tao Li
X. Huang
MU
47
6
0
29 Sep 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of
  Artificial Mental Imagery
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery
Ching-Chun Chang
Kai Gao
Shuying Xu
Anastasia Kordoni
Christopher Leckie
Isao Echizen
24
0
0
29 Sep 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
73
32
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
3
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
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics
  for Unlearning in Diffusion Models
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models
Aakash Sen Sharma
Niladri Sarkar
Vikram S Chundawat
Ankur Mali
Murari Mandal
DiffM
MU
38
4
0
09 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
28
1
0
01 Sep 2024
Is Difficulty Calibration All We Need? Towards More Practical Membership
  Inference Attacks
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks
Yu He
Boheng Li
Yao Wang
Mengda Yang
Juan Wang
Hongxin Hu
Xingyu Zhao
27
4
0
31 Aug 2024
Modularity in Transformers: Investigating Neuron Separability &
  Specialization
Modularity in Transformers: Investigating Neuron Separability & Specialization
Nicholas Pochinkov
Thomas Jones
Mohammed Rashidur Rahman
32
0
0
30 Aug 2024
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet
Nathaniel Li
Ziwen Han
Ian Steneker
Willow Primack
Riley Goodside
Hugh Zhang
Zifan Wang
Cristina Menghini
Summer Yue
AAML
MU
46
40
0
27 Aug 2024
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper
  Influence
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
42
3
0
26 Aug 2024
LLM-PBE: Assessing Data Privacy in Large Language Models
LLM-PBE: Assessing Data Privacy in Large Language Models
Qinbin Li
Junyuan Hong
Chulin Xie
Jeffrey Tan
Rachel Xin
...
Dan Hendrycks
Zhangyang Wang
Bo Li
Bingsheng He
Dawn Song
ELM
PILM
40
13
0
23 Aug 2024
A Unified Framework for Continual Learning and Machine Unlearning
A Unified Framework for Continual Learning and Machine Unlearning
Romit Chatterjee
Vikram S Chundawat
Ayush K Tarun
Ankur Mali
Murari Mandal
CLL
MU
27
0
0
21 Aug 2024
Community-Centric Graph Unlearning
Community-Centric Graph Unlearning
Yi Li
Shichao Zhang
Guixian Zhang
Debo Cheng
MU
24
0
0
19 Aug 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
Lu Yi
Zhewei Wei
MU
64
2
0
17 Aug 2024
Fishers Harvest Parallel Unlearning in Inherited Model Networks
Fishers Harvest Parallel Unlearning in Inherited Model Networks
Xiao Liu
Mingyuan Li
Xu Wang
Guangsheng Yu
Wei Ni
Lixiang Li
Haipeng Peng
Renping Liu
MoMe
MU
AI4CE
43
2
0
16 Aug 2024
The Future of Open Human Feedback
The Future of Open Human Feedback
Shachar Don-Yehiya
Ben Burtenshaw
Ramon Fernandez Astudillo
Cailean Osborne
Mimansa Jaiswal
...
Omri Abend
Jennifer Ding
Sara Hooker
Hannah Rose Kirk
Leshem Choshen
VLM
ALM
62
4
0
15 Aug 2024
Towards flexible perception with visual memory
Towards flexible perception with visual memory
Robert Geirhos
P. Jaini
Austin Stone
Sourabh Medapati
Xi Yi
G. Toderici
Abhijit Ogale
Jonathon Shlens
42
1
0
15 Aug 2024
Neural Machine Unranking
Neural Machine Unranking
Jingrui Hou
Axel Finke
Georgina Cosma
MU
32
0
0
09 Aug 2024
Get Confused Cautiously: Textual Sequence Memorization Erasure with
  Selective Entropy Maximization
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization
Zhaohan Zhang
Ziquan Liu
Ioannis Patras
39
2
0
09 Aug 2024
UNLEARN Efficient Removal of Knowledge in Large Language Models
UNLEARN Efficient Removal of Knowledge in Large Language Models
Tyler Lizzo
Larry Heck
KELM
MoMe
MU
46
1
0
08 Aug 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
56
16
0
06 Aug 2024
Verification of Machine Unlearning is Fragile
Verification of Machine Unlearning is Fragile
Binchi Zhang
Zihan Chen
Cong Shen
Wenlin Yao
AAML
79
5
0
01 Aug 2024
On the Limitations and Prospects of Machine Unlearning for Generative AI
On the Limitations and Prospects of Machine Unlearning for Generative AI
Shiji Zhou
Lianzhe Wang
Jiangnan Ye
Yongliang Wu
Heng Chang
MU
46
5
0
01 Aug 2024
Towards Certified Unlearning for Deep Neural Networks
Towards Certified Unlearning for Deep Neural Networks
Binchi Zhang
Yushun Dong
Tianhao Wang
Wenlin Yao
MU
64
7
0
01 Aug 2024
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