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1912.03817
Cited By
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 / 524 papers shown
Title
Machine Unlearning Methodology base on Stochastic Teacher Network
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Jianzong Wang
Ning Cheng
Yifu Sun
Chuanyao Zhang
Jing Xiao
MU
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0
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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
Anwar Said
Tyler Derr
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
28
7
0
23 Aug 2023
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
Seunghee Koh
Hyounguk Shon
Janghyeon Lee
H. Hong
Junmo Kim
25
2
0
19 Aug 2023
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
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
SILM
33
4
0
18 Aug 2023
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
Christian Jilek
Markus Schröder
H. Maus
Sven Schwarz
Andreas Dengel
11
4
0
03 Aug 2023
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
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
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
Enayat Ullah
R. Arora
MU
30
4
0
20 Jul 2023
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
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELM
MU
34
49
0
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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
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
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
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
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
Yuqing Zhu
Xuandong Zhao
Chuan Guo
Yu-Xiang Wang
21
4
0
12 Jun 2023
One-Shot Machine Unlearning with Mnemonic Code
Tomoya Yamashita
Masanori Yamada
Takashi Shibata
MU
13
1
0
09 Jun 2023
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
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
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
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"
Luciano Floridi
AILaw
MU
40
6
0
24 May 2023
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
Alvin Heng
Harold Soh
VLM
KELM
DiffM
40
107
0
17 May 2023
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
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
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
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
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
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
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
Manaar Alam
Hithem Lamri
Michail Maniatakos
FedML
AAML
MU
26
14
0
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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
Alessandro Achille
Michael Kearns
Carson Klingenberg
Stefano Soatto
MU
31
11
0
07 Apr 2023
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
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
Samuele Poppi
Sara Sarto
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
MU
26
5
0
04 Apr 2023
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
Nupur Kumari
Bin Zhang
Sheng-Yu Wang
Eli Shechtman
Richard Y. Zhang
Jun-Yan Zhu
VLM
21
184
0
23 Mar 2023
Boundary Unlearning
Min Chen
Weizhuo Gao
Gaoyang Liu
Kai Peng
Chen Wang
MU
109
71
0
21 Mar 2023
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?
Zhifeng Kong
A. Chowdhury
Kamalika Chaudhuri
MIALM
MIACV
29
6
0
07 Mar 2023
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
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
Jiali Cheng
George Dasoulas
Huan He
Chirag Agarwal
Marinka Zitnik
MU
37
36
0
26 Feb 2023
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