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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
Machine Unlearning Methodology base on Stochastic Teacher Network
Machine Unlearning Methodology base on Stochastic Teacher Network
Xulong Zhang
Jianzong Wang
Ning Cheng
Yifu Sun
Chuanyao Zhang
Jing Xiao
MU
29
4
0
28 Aug 2023
Heterogeneous Decentralized Machine Unlearning with Seed Model
  Distillation
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation
Guanhua Ye
Tong Chen
Quoc Viet Hung Nguyen
Hongzhi Yin
MU
43
5
0
25 Aug 2023
A Survey of Graph Unlearning
A Survey of Graph Unlearning
Anwar Said
Tyler Derr
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
28
7
0
23 Aug 2023
Split Unlearning
Split Unlearning
Guangsheng Yu
Xu Wang
Caijun Sun
Xu Wang
Baihe Ma
Caijun Sun
Wei Ni
Ren Ping Liu
MU
19
0
0
21 Aug 2023
Disposable Transfer Learning for Selective Source Task Unlearning
Disposable Transfer Learning for Selective Source Task Unlearning
Seunghee Koh
Hyounguk Shon
Janghyeon Lee
H. Hong
Junmo Kim
25
2
0
19 Aug 2023
Generative Adversarial Networks Unlearning
Generative Adversarial Networks Unlearning
Hui Sun
Tianqing Zhu
Wenhan Chang
Wanlei Zhou
MU
GAN
21
6
0
19 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of
  Open-Source Machine Learning Models
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
SILM
33
4
0
18 Aug 2023
Machine Unlearning: Solutions and Challenges
Machine Unlearning: Solutions and Challenges
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
MU
50
46
0
14 Aug 2023
Towards Self-organizing Personal Knowledge Assistants in Evolving
  Corporate Memories
Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories
Christian Jilek
Markus Schröder
H. Maus
Sven Schwarz
Andreas Dengel
11
4
0
03 Aug 2023
Training Data Protection with Compositional Diffusion Models
Training Data Protection with Compositional Diffusion Models
Aditya Golatkar
Alessandro Achille
A. Swaminathan
Stefano Soatto
DiffM
32
11
0
02 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
23
4
0
29 Jul 2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities
Fair Machine Unlearning: Data Removal while Mitigating Disparities
Alexander X. Oesterling
Jiaqi Ma
Flavio du Pin Calmon
Hima Lakkaraju
FaML
MU
31
19
0
27 Jul 2023
From Adaptive Query Release to Machine Unlearning
From Adaptive Query Release to Machine Unlearning
Enayat Ullah
R. Arora
MU
30
4
0
20 Jul 2023
Tangent Transformers for Composition, Privacy and Removal
Tangent Transformers for Composition, Privacy and Removal
Tian Yu Liu
Aditya Golatkar
Stefano Soatto
30
8
0
16 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
49
0
16 Jul 2023
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
Right to be Forgotten in the Era of Large Language Models: Implications,
  Challenges, and Solutions
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
Dawen Zhang
Pamela Finckenberg-Broman
Thong Hoang
Shidong Pan
Zhenchang Xing
Mark Staples
Xiwei Xu
AILaw
MU
35
50
0
08 Jul 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
Anvith Thudi
Hengrui Jia
Casey Meehan
Ilia Shumailov
Nicolas Papernot
33
3
0
01 Jul 2023
Probing the Transition to Dataset-Level Privacy in ML Models Using an
  Output-Specific and Data-Resolved Privacy Profile
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile
Tyler LeBlond
Joseph Munoz
Fred Lu
Maya Fuchs
Elliott Zaresky-Williams
Edward Raff
Brian Testa
16
3
0
27 Jun 2023
Ticketed Learning-Unlearning Schemes
Ticketed Learning-Unlearning Schemes
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Ayush Sekhari
Chiyuan Zhang
MU
46
7
0
27 Jun 2023
"Private Prediction Strikes Back!'' Private Kernelized Nearest Neighbors
  with Individual Renyi Filter
"Private Prediction Strikes Back!'' Private Kernelized Nearest Neighbors with Individual Renyi Filter
Yuqing Zhu
Xuandong Zhao
Chuan Guo
Yu-Xiang Wang
21
4
0
12 Jun 2023
One-Shot Machine Unlearning with Mnemonic Code
One-Shot Machine Unlearning with Mnemonic Code
Tomoya Yamashita
Masanori Yamada
Takashi Shibata
MU
13
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
38
19
0
06 Jun 2023
Information Flow Control in Machine Learning through Modular Model
  Architecture
Information Flow Control in Machine Learning through Modular Model Architecture
Trishita Tiwari
Suchin Gururangan
Chuan Guo
Weizhe Hua
Sanjay Kariyappa
Udit Gupta
Wenjie Xiong
Kiwan Maeng
Hsien-Hsin S. Lee
G. E. Suh
21
6
0
05 Jun 2023
Forgettable Federated Linear Learning with Certified Data Removal
Forgettable Federated Linear Learning with Certified Data Removal
Rui Jin
Minghui Chen
Qiong Zhang
Xiaoxiao Li
MU
10
11
0
03 Jun 2023
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Yuntao Wang
Yanghe Pan
Miao Yan
Zhou Su
Tom H. Luan
30
146
0
25 May 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
40
6
0
24 May 2023
Data Redaction from Conditional Generative Models
Data Redaction from Conditional Generative Models
Zhifeng Kong
Kamalika Chaudhuri
KELM
16
7
0
18 May 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep
  Generative Models
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models
Alvin Heng
Harold Soh
VLM
KELM
DiffM
40
107
0
17 May 2023
Learn to Unlearn: A Survey on Machine Unlearning
Learn to Unlearn: A Survey on Machine Unlearning
Youyang Qu
Xinnan Yuan
Ming Ding
W. Ni
Thierry Rakotoarivelo
David Smith
MU
9
0
0
12 May 2023
The Ethics of AI in Games
The Ethics of AI in Games
Dávid Melhárt
Julian Togelius
Benedikte Mikkelsen
Christoffer Holmgård
Georgios N. Yannakakis
31
24
0
12 May 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
40
69
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
MLHOps: Machine Learning for Healthcare Operations
MLHOps: Machine Learning for Healthcare Operations
Kristoffer Larsen
Vallijah Subasri
A. Krishnan
Cláudio Tinoco Mesquita
Diana Paez
Laleh Seyyed-Kalantari
Amalia Peix
LM&MA
AI4TS
VLM
27
2
0
04 May 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI
  Principles, Ethics, and Key Requirements to Responsible AI Systems and
  Regulation
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
27
265
0
02 May 2023
SAFE: Machine Unlearning With Shard Graphs
SAFE: Machine Unlearning With Shard Graphs
Yonatan Dukler
Benjamin Bowman
Alessandro Achille
Aditya Golatkar
A. Swaminathan
Stefano Soatto
MU
26
22
0
25 Apr 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning
Manaar Alam
Hithem Lamri
Michail Maniatakos
FedML
AAML
MU
26
14
0
20 Apr 2023
Model Sparsity Can Simplify Machine Unlearning
Model Sparsity Can Simplify Machine Unlearning
Jinghan Jia
Jiancheng Liu
Parikshit Ram
Yuguang Yao
Gaowen Liu
Yang Liu
Pranay Sharma
Sijia Liu
MU
30
107
0
11 Apr 2023
AI Model Disgorgement: Methods and Choices
AI Model Disgorgement: Methods and Choices
Alessandro Achille
Michael Kearns
Carson Klingenberg
Stefano Soatto
MU
31
11
0
07 Apr 2023
Inductive Graph Unlearning
Inductive Graph Unlearning
Cheng-Long Wang
Mengdi Huai
Di Wang
MU
19
25
0
06 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function
GIF: A General Graph Unlearning Strategy via Influence Function
Jiancan Wu
Yi Yang
Yuchun Qian
Yongduo Sui
Xiang Wang
Xiangnan He
MU
36
50
0
06 Apr 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
26
5
0
04 Apr 2023
Foundation Models and Fair Use
Foundation Models and Fair Use
Peter Henderson
Xuechen Li
Dan Jurafsky
Tatsunori Hashimoto
Mark A. Lemley
Percy Liang
33
119
0
28 Mar 2023
Ablating Concepts in Text-to-Image Diffusion Models
Ablating Concepts in Text-to-Image Diffusion Models
Nupur Kumari
Bin Zhang
Sheng-Yu Wang
Eli Shechtman
Richard Y. Zhang
Jun-Yan Zhu
VLM
21
184
0
23 Mar 2023
Boundary Unlearning
Boundary Unlearning
Min Chen
Weizhuo Gao
Gaoyang Liu
Kai Peng
Chen Wang
MU
109
71
0
21 Mar 2023
Erasing Concepts from Diffusion Models
Erasing Concepts from Diffusion Models
Rohit Gandikota
Joanna Materzyñska
Jaden Fiotto-Kaufman
David Bau
DiffM
42
285
0
13 Mar 2023
Can Membership Inferencing be Refuted?
Can Membership Inferencing be Refuted?
Zhifeng Kong
A. Chowdhury
Kamalika Chaudhuri
MIALM
MIACV
29
6
0
07 Mar 2023
Iterative Approximate Cross-Validation
Iterative Approximate Cross-Validation
Yuetian Luo
Zhimei Ren
Rina Foygel Barber
26
7
0
05 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges
  and Future Research Directions
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Thuy-Dung Nguyen
Tuan Nguyen
Phi Le Nguyen
Hieu H. Pham
Khoa D. Doan
Kok-Seng Wong
AAML
FedML
40
56
0
03 Mar 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
Jiali Cheng
George Dasoulas
Huan He
Chirag Agarwal
Marinka Zitnik
MU
37
36
0
26 Feb 2023
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