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Machine Unlearning of Features and Labels
v1v2v3v4 (latest)

Machine Unlearning of Features and Labels

Network and Distributed System Security Symposium (NDSS), 2021
26 August 2021
Alexander Warnecke
Lukas Pirch
Christian Wressnegger
Konrad Rieck
    MU
ArXiv (abs)PDFHTML

Papers citing "Machine Unlearning of Features and Labels"

50 / 166 papers shown
ModHiFi: Identifying High Fidelity predictive components for Model Modification
ModHiFi: Identifying High Fidelity predictive components for Model Modification
Dhruva Kashyap
Chaitanya Murti
Pranav K Nayak
Tanay Narshana
Chiranjib Bhattacharyya
228
1
0
24 Nov 2025
PrivacyCD: Hierarchical Unlearning for Protecting Student Privacy in Cognitive Diagnosis
PrivacyCD: Hierarchical Unlearning for Protecting Student Privacy in Cognitive Diagnosis
Mingliang Hou
Yinuo Wang
Teng Guo
Zitao Liu
Wenzhou Dou
Jiaqi Zheng
Renqiang Luo
Mi Tian
Weiqi Luo
MU
306
1
0
06 Nov 2025
Improving Unlearning with Model Updates Probably Aligned with Gradients
Improving Unlearning with Model Updates Probably Aligned with Gradients
Virgile Dine
Teddy Furon
Charly Faure
MU
277
0
0
04 Nov 2025
MPRU: Modular Projection-Redistribution Unlearning as Output Filter for Classification Pipelines
MPRU: Modular Projection-Redistribution Unlearning as Output Filter for Classification Pipelines
Minyi Peng
Darian Gunamardi
Ivan Tjuawinata
K. Lam
MU
314
0
0
30 Oct 2025
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
Shiji Zhou
Tianbai Yu
Zhi Zhang
Heng Chang
Xiao Zhou
Dong Wu
Han Zhao
MU
321
2
0
25 Oct 2025
LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems
LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems
Fengyuan Yu
Yuyuan Li
Xiaohua Feng
Junjie Fang
Tao Wang
Chaochao Chen
MU
269
2
0
23 Oct 2025
On the Impossibility of Retrain Equivalence in Machine Unlearning
On the Impossibility of Retrain Equivalence in Machine Unlearning
Jiatong Yu
Yinghui He
Anirudh Goyal
Sanjeev Arora
MU
375
2
0
18 Oct 2025
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
Baogang Song
Dongdong Zhao
Jianwen Xiang
Qiben Xu
Zizhuo Yu
AAML
129
0
0
15 Oct 2025
Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach
Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach
Aaradhya Pandey
Arnab Auddy
Haolin Zou
A. Maleki
Sanjeev Kulkarni
MU
204
2
0
15 Oct 2025
Auditing Information Disclosure During LLM-Scale Gradient Descent Using Gradient Uniqueness
Auditing Information Disclosure During LLM-Scale Gradient Descent Using Gradient Uniqueness
Mahmoud Abdelghafar
Maryam Aliakbarpour
Chris Jermaine
151
0
0
13 Oct 2025
Approximate Domain Unlearning for Vision-Language Models
Approximate Domain Unlearning for Vision-Language Models
Kodai Kawamura
Yuta Goto
Rintaro Yanagi
Hirokatsu Kataoka
Go Irie
MUVLM
252
1
0
09 Oct 2025
Ascent Fails to Forget
Ascent Fails to Forget
Ioannis Mavrothalassitis
Pol Puigdemont
Noam Itzhak Levi
Volkan Cevher
MU
245
2
0
30 Sep 2025
SMS: Self-supervised Model Seeding for Verification of Machine Unlearning
SMS: Self-supervised Model Seeding for Verification of Machine UnlearningIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025
Weiqi Wang
Chenhan Zhang
Zhiyi Tian
Shui Yu
AAMLMU
168
0
0
30 Sep 2025
Preserving Cross-Modal Stability for Visual Unlearning in Multimodal Scenarios
Preserving Cross-Modal Stability for Visual Unlearning in Multimodal Scenarios
Jinghan Xu Yuyang Zhang Qixuan Cai Jiancheng Chen Keqiu Li
MU
127
0
0
28 Sep 2025
CUFG: Curriculum Unlearning Guided by the Forgetting Gradient
CUFG: Curriculum Unlearning Guided by the Forgetting Gradient
Jiaxing Miao
Liang Hu
Qi Zhang
Lai Zhong Yuan
Usman Naseem
MU
224
1
0
18 Sep 2025
Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs
Sparse Neurons Carry Strong Signals of Question Ambiguity in LLMs
Zhuoxuan Zhang
Jinhao Duan
Edward Kim
Kaidi Xu
147
1
0
17 Sep 2025
Data Augmentation Improves Machine Unlearning
Data Augmentation Improves Machine Unlearning
Andreza M. C. Falcao
Filipe R. Cordeiro
MU
213
1
0
25 Aug 2025
Module-Aware Parameter-Efficient Machine Unlearning on Transformers
Module-Aware Parameter-Efficient Machine Unlearning on Transformers
Wenjie Bao
Jian Lou
Yuke Hu
Xiaochen Li
Zhihao Liu
Jiaqi Liu
Zhan Qin
K. Ren
MU
202
0
0
24 Aug 2025
BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
Bingguang Lu
Hongsheng Hu
Yuantian Miao
Shaleeza Sohail
Chaoxiang He
Shuo Wang
Xiao Chen
FedMLMU
207
0
0
21 Aug 2025
Side Effects of Erasing Concepts from Diffusion Models
Side Effects of Erasing Concepts from Diffusion Models
Shaswati Saha
Sourajit Saha
Manas Gaur
Tejas Gokhale
DiffM
330
5
0
20 Aug 2025
Towards Source-Free Machine Unlearning
Towards Source-Free Machine UnlearningComputer Vision and Pattern Recognition (CVPR), 2025
Sk. Miraj Ahmed
Umit Yigit Basaran
Dripta S. Raychaudhuri
Arindam Dutta
Rohit Kundu
Fahim Faisal Niloy
Başak Güler
Amit K. Roy-Chowdhury
MU
216
3
0
20 Aug 2025
Unlearning at Scale: Implementing the Right to be Forgotten in Large Language Models
Unlearning at Scale: Implementing the Right to be Forgotten in Large Language Models
Abdullah X
MU
166
0
0
17 Aug 2025
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design
Yuhao Sun
Yihua Zhang
Gaowen Liu
Hongtao Xie
Sijia Liu
187
0
0
13 Aug 2025
AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders
AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders
Hiroya Kato
Kentaro Kita
Kento Hasegawa
Seira Hidano
133
0
0
12 Aug 2025
Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten
Towards Unveiling Predictive Uncertainty Vulnerabilities in the Context of the Right to Be Forgotten
Wei Qian
Chenxu Zhao
Yangyi Li
Wenqian Ye
Mengdi Huai
AAML
338
2
0
10 Aug 2025
Membership Inference Attacks with False Discovery Rate Control
Membership Inference Attacks with False Discovery Rate Control
Chenxu Zhao
Wei Qian
Aobo Chen
Mengdi Huai
216
2
0
09 Aug 2025
WSS-CL: Weight Saliency Soft-Guided Contrastive Learning for Efficient Machine Unlearning Image Classification
WSS-CL: Weight Saliency Soft-Guided Contrastive Learning for Efficient Machine Unlearning Image Classification
Thang Duc Tran
Thai Hoang Le
MU
186
0
0
06 Aug 2025
Conformal Unlearning: A New Paradigm for Unlearning in Conformal Predictors
Conformal Unlearning: A New Paradigm for Unlearning in Conformal Predictors
Yahya Alkhatib
Wee Peng Tay
Wee Peng Tay
MU
260
0
0
05 Aug 2025
LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive Learning
LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive Learning
Yujia Tong
Tian Zhang
Jingling Yuan
Yuze Wang
Chuang Hu
MU
187
0
0
03 Aug 2025
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning
Xiang Li
Qianli Shen
Haonan Wang
Kenji Kawaguchi
MU
238
2
0
30 Jul 2025
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
Zero-Shot Machine Unlearning with Proxy Adversarial Data GenerationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Huiqiang Chen
Tianqing Zhu
Xin Yu
Wanlei Zhou
MU
233
0
0
29 Jul 2025
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy
Yaxin Xiao
Qingqing Ye
Li Hu
Huadi Zheng
Haibo Hu
Zi Liang
Haoyang Li
Yijie Jiao
AAML
224
2
0
28 Jul 2025
Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting
Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting
A. Kravets
Da Chen
V. Namboodiri
310
0
0
28 Jul 2025
Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech
Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech
Taesoo Kim
Jinju Kim
Dongchan Kim
Jong Hwan Ko
Gyeong-Moon Park
MU
239
3
0
27 Jul 2025
Machine Unlearning of Traffic State Estimation and Prediction
Machine Unlearning of Traffic State Estimation and Prediction
Xin Wang
R. Tyrrell Rockafellar
Xuegang
MU
491
0
0
23 Jul 2025
Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster
Leveraging Distribution Matching to Make Approximate Machine Unlearning Faster
Junaid Iqbal Khan
MU
421
0
0
13 Jul 2025
OPC: One-Point-Contraction Unlearning Toward Deep Feature Forgetting
OPC: One-Point-Contraction Unlearning Toward Deep Feature Forgetting
Jaeheun Jung
Bosung Jung
Suhyun Bae
Donghun Lee
MU
244
2
0
10 Jul 2025
On the Necessity of Output Distribution Reweighting for Effective Class Unlearning
On the Necessity of Output Distribution Reweighting for Effective Class Unlearning
A. Boroojeny
Yian Wang
Hari Sundaram
MU
336
1
0
25 Jun 2025
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
Kaiyuan Zhang
Siyuan Cheng
Hanxi Guo
Yuetian Chen
Zian Su
...
Yuntao Du
Charles Fleming
Jayanth Srinivasa
Xiangyu Zhang
Ninghui Li
AAML
437
10
0
12 Jun 2025
Class Similarity-Based Multimodal Classification under Heterogeneous Category Sets
Class Similarity-Based Multimodal Classification under Heterogeneous Category Sets
Yangrui Zhu
Junhua Bao
Yipan Wei
Yapeng Li
Bo Du
255
1
0
11 Jun 2025
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Unlearning Completeness
Cheng-Long Wang
Qi Li
Zihang Xiang
Yinzhi Cao
Di Wang
MU
226
7
0
06 Jun 2025
Targeted Forgetting of Image Subgroups in CLIP Models
Targeted Forgetting of Image Subgroups in CLIP ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Zeliang Zhang
Gaowen Liu
Charles Fleming
Ramana Rao Kompella
Chenliang Xu
CLLVLM
294
4
0
03 Jun 2025
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
Zhehao Huang
Xinwen Cheng
Jing Zhang
Jinghao Zheng
Haoran Wang
Zhengbao He
Tao Li
Xiaolin Huang
CLL
367
1
0
21 May 2025
Unlearning Algorithmic Biases over Graphs
Unlearning Algorithmic Biases over Graphs
O. Deniz Kose
Gonzalo Mateos
Yanning Shen
MUFaML
391
0
0
20 May 2025
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual Transfer
Semantic Aware Linear Transfer by Recycling Pre-trained Language Models for Cross-lingual TransferAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Seungyoon Lee
Seongtae Hong
Hyeonseok Moon
Heuiseok Lim
KELM
382
0
0
16 May 2025
MUBox: A Critical Evaluation Framework of Deep Machine Unlearning
MUBox: A Critical Evaluation Framework of Deep Machine UnlearningACM Symposium on Access Control Models and Technologies (SACMAT), 2025
Xiang Li
Bhavani Thuraisingham
Wenqi Wei
MUAILawELM
299
5
0
13 May 2025
Efficient Machine Unlearning by Model Splitting and Core Sample Selection
Efficient Machine Unlearning by Model Splitting and Core Sample Selection
Maximilian Egger
Rawad Bitar
Rüdiger Urbanke
MU
151
0
0
11 May 2025
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks
PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks
Xuzhao Li
Jingyi Wang
Xiaohan Yuan
Peixin Zhang
AAMLMU
449
1
0
10 May 2025
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
Xuyang Zhong
Haochen Luo
Chen Liu
MU
638
2
0
22 Apr 2025
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
Hao Xuan
Xingyu Li
AAMLMU
363
3
0
21 Apr 2025
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