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Deep Unlearning via Randomized Conditionally Independent Hessians

Deep Unlearning via Randomized Conditionally Independent Hessians

15 April 2022
Ronak R. Mehta
Sourav Pal
Vikas Singh
Sathya Ravi
    MU
ArXivPDFHTML

Papers citing "Deep Unlearning via Randomized Conditionally Independent Hessians"

50 / 52 papers shown
Title
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
Hao Xuan
Xingyu Li
AAML
MU
48
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
160
0
0
08 Apr 2025
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization
Aviv Shamsian
E. Shaar
Aviv Navon
Gal Chechik
Ethan Fetaya
MU
64
0
0
04 Mar 2025
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models
M. Russinovich
Ahmed Salem
MU
CLL
65
0
0
20 Feb 2025
MUNBa: Machine Unlearning via Nash Bargaining
MUNBa: Machine Unlearning via Nash Bargaining
Jing Wu
Mehrtash Harandi
MU
71
3
0
23 Nov 2024
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving
  Machine Unlearning
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning
Zihao Zhao
Yijiang Li
Yuqing Yang
Wenqing Zhang
Nuno Vasconcelos
Yinzhi Cao
MU
28
1
0
04 Nov 2024
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models
  Using Discrete Concept
CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept
YuXuan Wu
Bonaventure F. P. Dossou
Dianbo Liu
MU
23
0
0
08 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
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
Verification of Machine Unlearning is Fragile
Verification of Machine Unlearning is Fragile
Binchi Zhang
Zihan Chen
Cong Shen
Wenlin Yao
AAML
76
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
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
75
3
0
25 Jul 2024
Learning to Unlearn for Robust Machine Unlearning
Learning to Unlearn for Robust Machine Unlearning
Mark He Huang
Lin Geng Foo
Jun Liu
MU
37
8
0
15 Jul 2024
Machine Unlearning with Minimal Gradient Dependence for High Unlearning
  Ratios
Machine Unlearning with Minimal Gradient Dependence for High Unlearning Ratios
Tao Huang
Ziyang Chen
Jiayang Meng
Qingyu Huang
Xu Yang
Xun Yi
Ibrahim Khalil
MU
45
0
0
24 Jun 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
Jiali Cheng
Hadi Amiri
BDL
43
3
0
21 Jun 2024
Data-Centric AI in the Age of Large Language Models
Data-Centric AI in the Age of Large Language Models
Xinyi Xu
Zhaoxuan Wu
Rui Qiao
Arun Verma
Yao Shu
...
Xiaoqiang Lin
Wenyang Hu
Zhongxiang Dai
Pang Wei Koh
Bryan Kian Hsiang Low
ALM
46
2
0
20 Jun 2024
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language
  Models
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models
Minseok Choi
Kyunghyun Min
Jaegul Choo
MU
AAML
35
1
0
18 Jun 2024
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew
  Resilience
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
T. T. Huynh
Trong Bang Nguyen
Phi Le Nguyen
Thanh Tam Nguyen
Matthias Weidlich
Quoc Viet Hung Nguyen
Karl Aberer
MU
40
10
0
28 May 2024
Exploring Fairness in Educational Data Mining in the Context of the
  Right to be Forgotten
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten
Wei Qian
Aobo Chen
Chenxu Zhao
Yangyi Li
Mengdi Huai
MU
34
0
0
27 May 2024
Towards Natural Machine Unlearning
Towards Natural Machine Unlearning
Zhengbao He
Tao Li
Xinwen Cheng
Zhehao Huang
Xiaolin Huang
MU
28
3
0
24 May 2024
Editable Concept Bottleneck Models
Editable Concept Bottleneck Models
Lijie Hu
Chenyang Ren
Zhengyu Hu
Cheng-Long Wang
Di Wang
Hui Xiong
Jingfeng Zhang
Di Wang
34
3
0
24 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
45
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
34
14
0
13 May 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
29
1
0
19 Mar 2024
Towards Efficient and Effective Unlearning of Large Language Models for
  Recommendation
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
Hangyu Wang
Jianghao Lin
Bo Chen
Yang Yang
Ruiming Tang
Weinan Zhang
Yong Yu
MU
39
9
0
06 Mar 2024
Discriminative Adversarial Unlearning
Discriminative Adversarial Unlearning
Rohan Sharma
Shijie Zhou
Kaiyi Ji
Changyou Chen
MU
30
1
0
10 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
47
4
0
02 Feb 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
27
5
0
30 Jan 2024
Unlearning Traces the Influential Training Data of Language Models
Unlearning Traces the Influential Training Data of Language Models
Masaru Isonuma
Ivan Titov
MU
29
6
0
26 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
21
4
0
19 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
69
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
31
13
0
11 Jan 2024
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning
  Interference with Gradient Projection
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
20
0
07 Dec 2023
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
38
7
0
04 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
29
9
0
26 Nov 2023
MultiDelete for Multimodal Machine Unlearning
MultiDelete for Multimodal Machine Unlearning
Jiali Cheng
Hadi Amiri
MU
40
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
22
3
0
17 Nov 2023
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware
  Approach
ERASER: Machine Unlearning in MLaaS via an Inference Serving-Aware Approach
Yuke Hu
Jian Lou
Jiaqi Liu
Wangze Ni
Feng Lin
Zhan Qin
Kui Ren
MU
40
12
0
03 Nov 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
24
85
0
15 Aug 2023
Machine Unlearning: Solutions and Challenges
Machine Unlearning: Solutions and Challenges
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
MU
46
46
0
14 Aug 2023
Recommendation Unlearning via Matrix Correction
Recommendation Unlearning via Matrix Correction
Jiahao Liu
Dongsheng Li
Hansu Gu
T. Lu
Jiongran Wu
Peng Zhang
Li Shang
Ning Gu
MU
20
4
0
29 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
34
48
0
16 Jul 2023
KGA: A General Machine Unlearning Framework Based on Knowledge Gap
  Alignment
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment
Lingzhi Wang
Tong Chen
Wei Yuan
Xingshan Zeng
Kam-Fai Wong
Hongzhi Yin
MU
34
68
0
11 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
36
25
0
10 May 2023
Boundary Unlearning
Boundary Unlearning
Min Chen
Weizhuo Gao
Gaoyang Liu
Kai Peng
Chen Wang
MU
109
71
0
21 Mar 2023
Learning to Unlearn: Instance-wise Unlearning for Pre-trained
  Classifiers
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers
Sungmin Cha
Sungjun Cho
Dasol Hwang
Honglak Lee
Taesup Moon
Moontae Lee
MU
36
35
0
27 Jan 2023
Privacy Adhering Machine Un-learning in NLP
Privacy Adhering Machine Un-learning in NLP
Vinayshekhar Bannihatti Kumar
Rashmi Gangadharaiah
Dan Roth
AILaw
MU
24
28
0
19 Dec 2022
Deep Regression Unlearning
Deep Regression Unlearning
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Mohan S. Kankanhalli
BDL
MU
26
31
0
15 Oct 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Joel Jang
Dongkeun Yoon
Sohee Yang
Sungmin Cha
Moontae Lee
Lajanugen Logeswaran
Minjoon Seo
KELM
PILM
MU
147
191
0
04 Oct 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable
  Recommendation
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation
Yuyuan Li
Xiaolin Zheng
Chaochao Chen
Junlin Liu
MU
39
40
0
22 Mar 2022
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