Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning

Proceedings on Privacy Enhancing Technologies (PoPETs), 2022

7 February 2022

Ji Gao

Sanjam Garg

Mohammad Mahmoody

Prashant Nalini Vasudevan

MIACV

AAML

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Papers citing "Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning"

20 / 20 papers shown

Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective

343

16 Jun 2025

Class Similarity-Based Multimodal Classification under Heterogeneous Category Sets

255

11 Jun 2025

PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks

449

10 May 2025

A Framework for Cryptographic Verifiability of End-to-End AI Pipelines

Kar Balan

Robert Learney

Tim Wood

348

28 Mar 2025

CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine UnlearningIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025

376

27 Feb 2025

A Review on Machine UnlearningSN Computer Science (SCS), 2023

437

18 Nov 2024

Game-Theoretic Machine Unlearning: Mitigating Extra Privacy LeakageIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024

477

06 Nov 2024

Position: LLM Unlearning Benchmarks are Weak Measures of Progress

Virginia Smith

422

03 Oct 2024

A Survey on Machine Unlearning: Techniques and New Emerged Privacy RisksJournal of Information Security and Applications (JISA), 2024

Hengzhu Liu

Ping Xiong

Tianqing Zhu

Philip S. Yu

272

10 Jun 2024

Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation

Jun Zhao

Kwok-Yan Lam

MU FedML

472

03 Jun 2024

Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable

266

30 May 2024

Machine Unlearning: A Comprehensive Survey

337

13 May 2024

Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine UnlearningIEEE Symposium on Security and Privacy (S&P), 2024

Shuo Wang

240

04 Apr 2024

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

762

20 Mar 2024

A Survey on Federated Unlearning: Challenges, Methods, and Future DirectionsACM Computing Surveys (ACM Comput. Surv.), 2023

Kwok-Yan Lam

Xiaoning Liu

495

119

31 Oct 2023

Tight Bounds for Machine Unlearning via Differential PrivacyJournal of Privacy and Confidentiality (JPC), 2023

Yiyang Huang

C. Canonne

311

02 Sep 2023

Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and TaxonomyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023

Haoran Xie

609

10 May 2023

SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine LearningIEEE Symposium on Security and Privacy (IEEE S&P), 2022

Santiago Zanella Béguelin

458

21 Dec 2022

Proof of Unlearning: Definitions and InstantiationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022

391

20 Oct 2022

Verifiable and Provably Secure Machine Unlearning

546

17 Oct 2022