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Machine Unlearning for Random Forests
v1v2 (latest)

Machine Unlearning for Random Forests

11 September 2020
Jonathan Brophy
Daniel Lowd
    MU
ArXiv (abs)PDFHTML

Papers citing "Machine Unlearning for Random Forests"

34 / 34 papers shown
Title
SEPS: A Separability Measure for Robust Unlearning in LLMs
SEPS: A Separability Measure for Robust Unlearning in LLMs
Wonje Jeung
Sangyeon Yoon
Albert No
MUVLM
224
1
0
20 May 2025
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving
  Machine Unlearning
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning
Zihao Zhao
Yijiang Li
Yue Yang
Wenqing Zhang
Nuno Vasconcelos
Yinzhi Cao
MU
76
1
0
04 Nov 2024
Unlearning-based Neural Interpretations
Unlearning-based Neural Interpretations
Ching Lam Choi
Alexandre Duplessis
Serge Belongie
FAtt
262
0
0
10 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
145
0
0
02 Oct 2024
Towards Certified Unlearning for Deep Neural Networks
Towards Certified Unlearning for Deep Neural Networks
Binchi Zhang
Yushun Dong
Tianhao Wang
Wenlin Yao
MU
165
13
0
01 Aug 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning
Jiali Cheng
Hadi Amiri
BDL
104
4
0
21 Jun 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
92
7
0
24 May 2024
Distilled Datamodel with Reverse Gradient Matching
Distilled Datamodel with Reverse Gradient Matching
Jingwen Ye
Ruonan Yu
Songhua Liu
Xinchao Wang
DD
103
3
0
22 Apr 2024
MultiDelete for Multimodal Machine Unlearning
MultiDelete for Multimodal Machine Unlearning
Jiali Cheng
Hadi Amiri
MU
111
9
0
18 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
98
15
0
03 Nov 2023
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
Piyush Tiwary
Atri Guha
Subhodip Panda
Prathosh A.P.
MUGAN
137
9
0
25 Sep 2023
From Adaptive Query Release to Machine Unlearning
From Adaptive Query Release to Machine Unlearning
Enayat Ullah
R. Arora
MU
42
5
0
20 Jul 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
48
0
0
12 May 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
Jimmy Z. Di
Jack Douglas
Jayadev Acharya
Gautam Kamath
Ayush Sekhari
MU
81
46
0
21 Dec 2022
Training Data Influence Analysis and Estimation: A Survey
Training Data Influence Analysis and Estimation: A Survey
Zayd Hammoudeh
Daniel Lowd
TDI
117
100
0
09 Dec 2022
Learning to Counterfactually Explain Recommendations
Learning to Counterfactually Explain Recommendations
Yuanshun Yao
Chong Wang
Hang Li
CMLOffRL
46
1
0
17 Nov 2022
Certified Data Removal in Sum-Product Networks
Certified Data Removal in Sum-Product Networks
Alexander Becker
Thomas Liebig
MU
79
1
0
04 Oct 2022
An Introduction to Machine Unlearning
An Introduction to Machine Unlearning
Salvatore Mercuri
Raad Khraishi
Ramin Okhrati
Devesh Batra
Conor B. Hamill
T. Ghasempour
Andrew Nowlan
MU
72
15
0
02 Sep 2022
Reducing Certified Regression to Certified Classification for General
  Poisoning Attacks
Reducing Certified Regression to Certified Classification for General Poisoning Attacks
Zayd Hammoudeh
Daniel Lowd
AAML
82
10
0
29 Aug 2022
Evaluating Machine Unlearning via Epistemic Uncertainty
Evaluating Machine Unlearning via Epistemic Uncertainty
Alexander Becker
Thomas Liebig
UDELMMU
115
37
0
23 Aug 2022
Learning with Recoverable Forgetting
Learning with Recoverable Forgetting
Jingwen Ye
Yifang Fu
Mingli Song
Xingyi Yang
Songhua Liu
Xin Jin
Mingli Song
Xinchao Wang
CLLKELM
108
42
0
17 Jul 2022
Adapting and Evaluating Influence-Estimation Methods for
  Gradient-Boosted Decision Trees
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
Jonathan Brophy
Zayd Hammoudeh
Daniel Lowd
TDI
110
22
0
30 Apr 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous
  Driving Networks
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks
Dario Rossi
Liang Zhang
58
14
0
26 Apr 2022
Knowledge Removal in Sampling-based Bayesian Inference
Knowledge Removal in Sampling-based Bayesian Inference
Shaopeng Fu
Fengxiang He
Dacheng Tao
BDLMU
78
28
0
24 Mar 2022
Counterfactually Evaluating Explanations in Recommender Systems
Counterfactually Evaluating Explanations in Recommender Systems
Yuanshun Yao
Chong Wang
Hang Li
OffRLLRM
68
6
0
02 Mar 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input
  Attributes from Feature Representations
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
Tao Guo
Song Guo
Jiewei Zhang
Wenchao Xu
Junxiao Wang
MU
72
18
0
27 Feb 2022
Zero-Shot Machine Unlearning
Zero-Shot Machine Unlearning
Vikram S Chundawat
Ayush K Tarun
Murari Mandal
Mohan S. Kankanhalli
MU
102
128
0
14 Jan 2022
ModelPred: A Framework for Predicting Trained Model from Training Data
ModelPred: A Framework for Predicting Trained Model from Training Data
Yingyan Zeng
Jiachen T. Wang
Si-An Chen
H. Just
Ran Jin
R. Jia
TDIMU
63
4
0
24 Nov 2021
Fast Yet Effective Machine Unlearning
Fast Yet Effective Machine Unlearning
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Mohan S. Kankanhalli
MU
140
187
0
17 Nov 2021
Federated Unlearning via Class-Discriminative Pruning
Federated Unlearning via Class-Discriminative Pruning
Junxiao Wang
Song Guo
Xin Xie
Heng Qi
MU
84
145
0
22 Oct 2021
Certifiable Machine Unlearning for Linear Models
Certifiable Machine Unlearning for Linear Models
Ananth Mahadevan
M. Mathioudakis
MU
55
45
0
29 Jun 2021
Knowledge-Adaptation Priors
Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan
S. Swaroop
BDLVLMODL
53
27
0
16 Jun 2021
Graph Unlearning
Graph Unlearning
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MU
94
149
0
27 Mar 2021
Learn to Forget: Machine Unlearning via Neuron Masking
Learn to Forget: Machine Unlearning via Neuron Masking
Yang Liu
Zhuo Ma
Ximeng Liu
Jian Liu
Zhongyuan Jiang
Jianfeng Ma
Philip Yu
K. Ren
MU
86
67
0
24 Mar 2020
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