Threats, Attacks, and Defenses in Machine Unlearning: A Survey

20 March 2024

Papers citing "Threats, Attacks, and Defenses in Machine Unlearning: A Survey"

50 / 117 papers shown

Title
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 54 13 0 03 Nov 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 70 49 0 31 Oct 2023
Exploring Federated Unlearning: Review, Comparison, and Insights Yang Zhao Jiaxi Yang Yiling Tao Lixu Wang Xiaoxiao Li Dusit Niyato H. Vincent Poor FedML MU 66 13 0 30 Oct 2023
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning Zheyuan Liu Guangyao Dou Yijun Tian Chunhui Zhang Eli Chien Ziwei Zhu MU 60 18 0 28 Oct 2023
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now Yimeng Zhang Jinghan Jia Xin Chen Aochuan Chen Yihua Zhang Jiancheng Liu Ke Ding Sijia Liu DiffM 92 92 0 18 Oct 2023
Large Language Model Unlearning Yuanshun Yao Xiaojun Xu Yang Liu MU 69 120 0 14 Oct 2023
In-Context Unlearning: Language Models as Few Shot Unlearners Martin Pawelczyk Seth Neel Himabindu Lakkaraju MU 55 112 0 11 Oct 2023
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems Yuyuan Li Chaochao Chen Xiaolin Zheng Yizhao Zhang Zhongxuan Han Dan Meng Jun Wang MU 47 21 0 06 Oct 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 42 26 0 15 Sep 2023
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System Peixin Zhang Jun Sun Mingtian Tan Xinyu Wang AAML 61 4 0 12 Sep 2023
Backdooring Textual Inversion for Concept Censorship Yutong Wu Jiehan Zhang Florian Kerschbaum Tianwei Zhang DiffM 57 7 0 21 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 89 49 0 14 Aug 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples Shaokui Wei Ruotong Wang H. Zha Baoyuan Wu TPM 52 36 0 20 Jul 2023
MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots Gelei Deng Yi Liu Yuekang Li Kailong Wang Ying Zhang Zefeng Li Haoyu Wang Tianwei Zhang Yang Liu SILM 66 124 0 16 Jul 2023
Separate-and-Aggregate: A Transformer-based Patch Refinement Model for Knowledge Graph Completion Chen Chen Yufei Wang Yang Zhang Quan.Z Sheng Kwok-Yan Lam KELM 110 3 0 11 Jul 2023
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting Chen Chen Yufei Wang Aixin Sun Bing Li Kwok-Yan Lam 66 44 0 04 Jul 2023
Unifying Large Language Models and Knowledge Graphs: A Roadmap Shirui Pan Linhao Luo Yufei Wang Chen Chen Jiapu Wang Xindong Wu KELM 96 738 0 14 Jun 2023
Model Sparsity Can Simplify Machine Unlearning Jinghan Jia Jiancheng Liu Parikshit Ram Yuguang Yao Gaowen Liu Yang Liu Pranay Sharma Sijia Liu MU 56 117 0 11 Apr 2023
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps Ruoxi Sun Minhui Xue Gareth Tyson Shuo Wang S. Çamtepe Surya Nepal 48 8 0 16 Mar 2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal Nishad Singhi Yu Yang Fan Yin Aditya Grover Kai-Wei Chang AAML 55 43 0 06 Mar 2023
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks Jiali Cheng George Dasoulas Huan He Chirag Agarwal Marinka Zitnik MU 74 37 0 26 Feb 2023
Super forecasting the technological singularity risks from artificial intelligence P. Radanliev D. De Roure Carsten Maple U. Ani 20 36 0 28 Dec 2022
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks Jimmy Z. Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari MU 42 44 0 21 Dec 2022
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information Xiaoyu Cao Jinyuan Jia Zaixi Zhang Neil Zhenqiang Gong FedML MU AAML 43 73 0 20 Oct 2022
Forget Unlearning: Towards True Data-Deletion in Machine Learning R. Chourasia Neil Shah MU 31 42 0 17 Oct 2022
The "Beatrix'' Resurrections: Robust Backdoor Detection via Gram Matrices Wanlun Ma Derui Wang Ruoxi Sun Minhui Xue S. Wen Yang Xiang AAML 43 84 0 23 Sep 2022
Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion Chen Chen Yufei Wang Bing Li Kwok-Yan Lam 55 30 0 15 Sep 2022
Federated Unlearning: How to Efficiently Erase a Client in FL? Anisa Halimi S. Kadhe Ambrish Rawat Nathalie Baracaldo MU 57 127 0 12 Jul 2022
Quark: Controllable Text Generation with Reinforced Unlearning Ximing Lu Sean Welleck Jack Hessel Liwei Jiang Lianhui Qin Peter West Prithviraj Ammanabrolu Yejin Choi MU 99 213 0 26 May 2022
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning Ziyao Liu Jiale Guo Kwok-Yan Lam Jun Zhao 53 80 0 31 Mar 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey Ziyao Liu Jiale Guo Wenzhuo Yang Jiani Fan Kwok-Yan Lam Jun Zhao FedML 67 89 0 31 Mar 2022
StyleFool: Fooling Video Classification Systems via Style Transfer Yu Cao Xi Xiao Ruoxi Sun Derui Wang Minhui Xue Sheng Wen AAML 43 25 0 30 Mar 2022
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining Yi Liu Lei Xu Lizhen Qu Cong Wang Bo Li MU 49 144 0 14 Mar 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning Ji Gao Sanjam Garg Mohammad Mahmoody Prashant Nalini Vasudevan MIACV AAML 33 22 0 07 Feb 2022
Backdoor Defense with Machine Unlearning Yang Liu Mingyuan Fan Cen Chen Ximeng Liu Zhuo Ma Li Wang Jianfeng Ma AAML 52 74 0 24 Jan 2022
Federated Unlearning with Knowledge Distillation Chen Wu Sencun Zhu P. Mitra MU 38 108 0 24 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip Torr Ponnurangam Kumaraguru AAML ELM MU 85 53 0 17 Jan 2022
Zero-Shot Machine Unlearning Vikram S Chundawat Ayush K Tarun Murari Mandal Mohan S. Kankanhalli MU 38 121 0 14 Jan 2022
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems Bao Gia Doan Minhui Xue Shiqing Ma Ehsan Abbasnejad Damith C. Ranasinghe AAML 68 54 0 19 Nov 2021
Federated Unlearning via Class-Discriminative Pruning Junxiao Wang Song Guo Xin Xie Heng Qi MU 31 137 0 22 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng Si-An Chen Won Park Z. Morley Mao Ming Jin R. Jia AAML 104 174 0 07 Oct 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 56 70 0 17 Sep 2021
Machine Unlearning of Features and Labels Alexander Warnecke Lukas Pirch Christian Wressnegger Konrad Rieck MU 52 177 0 26 Aug 2021
Poison Ink: Robust and Invisible Backdoor Attack Jie Zhang Dongdong Chen Qidong Huang Jing Liao Weiming Zhang Huamin Feng G. Hua Nenghai Yu AAML 42 87 0 05 Aug 2021
Your fairness may vary: Pretrained language model fairness in toxic text classification Ioana Baldini Dennis L. Wei Karthikeyan N. Ramamurthy Mikhail Yurochkin Moninder Singh 66 53 0 03 Aug 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 53 177 0 08 Jun 2021
Hidden Backdoors in Human-Centric Language Models Shaofeng Li Hui Liu Tian Dong Benjamin Zi Hao Zhao Minhui Xue Haojin Zhu Jialiang Lu SILM 68 151 0 01 May 2021
Explainability-based Backdoor Attacks Against Graph Neural Networks Jing Xu Minhui Xue Xue S. Picek 55 74 0 08 Apr 2021
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Wenjie Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 76 216 0 04 Sep 2020
MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack Ziyao Liu Ivan Tjuawinata C. Xing K. Lam 29 9 0 24 Jul 2020