PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xiangman, Wu, Xiaodong, Ni, Jianbing, Mahmoud, Mohamed, Alsabaan, Maazen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robustness of Watermarking on Text-to-Image Diffusion Models
by: Wu, Xiaodong, et al.
Published: (2024)
by: Wu, Xiaodong, et al.
Published: (2024)
When There Is No Decoder: Removing Watermarks from Stable Diffusion Models in a No-box Setting
by: Wu, Xiaodong, et al.
Published: (2025)
by: Wu, Xiaodong, et al.
Published: (2025)
SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models
by: Wu, Xiaodong, et al.
Published: (2025)
by: Wu, Xiaodong, et al.
Published: (2025)
SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts
by: Wu, Xiaodong, et al.
Published: (2025)
by: Wu, Xiaodong, et al.
Published: (2025)
Security, Privacy, and Ethical Risks in OpenClaw
by: Jin, Yutong, et al.
Published: (2026)
by: Jin, Yutong, et al.
Published: (2026)
Local Privacy-preserving Mechanisms and Applications in Machine Learning
by: Qin, Likun, et al.
Published: (2024)
by: Qin, Likun, et al.
Published: (2024)
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
by: Wang, Weiqi, et al.
Published: (2025)
by: Wang, Weiqi, et al.
Published: (2025)
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks
by: Liu, Hengzhu, et al.
Published: (2024)
by: Liu, Hengzhu, et al.
Published: (2024)
Privacy Preservation through Practical Machine Unlearning
by: Dilworth, Robert
Published: (2025)
by: Dilworth, Robert
Published: (2025)
Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set
by: Fu, Jie, et al.
Published: (2026)
by: Fu, Jie, et al.
Published: (2026)
Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection
by: Ferdous, Jannatul, et al.
Published: (2026)
by: Ferdous, Jannatul, et al.
Published: (2026)
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
by: Huang, Yangsibo, et al.
Published: (2024)
by: Huang, Yangsibo, et al.
Published: (2024)
Machine Unlearning in Large Language Models
by: Chen, Kongyang, et al.
Published: (2024)
by: Chen, Kongyang, et al.
Published: (2024)
MarkSweep: A No-box Removal Attack on AI-Generated Image Watermarking via Noise Intensification and Frequency-aware Denoising
by: Cao, Jie, et al.
Published: (2026)
by: Cao, Jie, et al.
Published: (2026)
EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
by: Li, Zhen, et al.
Published: (2025)
by: Li, Zhen, et al.
Published: (2025)
Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery
by: Zhao, Wenwei, et al.
Published: (2026)
by: Zhao, Wenwei, et al.
Published: (2026)
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning
by: Hu, Hongsheng, et al.
Published: (2024)
by: Hu, Hongsheng, et al.
Published: (2024)
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models
by: Hou, Sizai, et al.
Published: (2025)
by: Hou, Sizai, et al.
Published: (2025)
Privacy-Preserving Federated Unlearning with Certified Client Removal
by: Liu, Ziyao, et al.
Published: (2024)
by: Liu, Ziyao, et al.
Published: (2024)
Privacy-preserving server-supported decryption
by: Laud, Peeter, et al.
Published: (2024)
by: Laud, Peeter, et al.
Published: (2024)
Decentralized Privacy Preservation for Critical Connections in Graphs
by: Li, Conggai, et al.
Published: (2024)
by: Li, Conggai, et al.
Published: (2024)
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction
by: Islam, Nazmul, et al.
Published: (2025)
by: Islam, Nazmul, et al.
Published: (2025)
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs
by: Xu, Heng, et al.
Published: (2024)
by: Xu, Heng, et al.
Published: (2024)
Kintsugi: Decentralized E2EE Key Recovery
by: Ma, Emilie, et al.
Published: (2025)
by: Ma, Emilie, et al.
Published: (2025)
MelShield: Robust Mel-Domain Audio Watermarking for Provenance Attribution of AI Generated Synthesized Speech
by: Jin, Yutong, et al.
Published: (2026)
by: Jin, Yutong, et al.
Published: (2026)
Split Unlearning
by: Yu, Guangsheng, et al.
Published: (2023)
by: Yu, Guangsheng, et al.
Published: (2023)
Efficient Unlearning with Privacy Guarantees
by: Domingo-Ferrer, Josep, et al.
Published: (2025)
by: Domingo-Ferrer, Josep, et al.
Published: (2025)
Guaranteeing Data Privacy in Federated Unlearning with Dynamic User Participation
by: Liu, Ziyao, et al.
Published: (2024)
by: Liu, Ziyao, et al.
Published: (2024)
From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI
by: Zhang, Zelin, et al.
Published: (2026)
by: Zhang, Zelin, et al.
Published: (2026)
Towards Irreversible Machine Unlearning for Diffusion Models
by: Yuan, Xun, et al.
Published: (2025)
by: Yuan, Xun, et al.
Published: (2025)
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
by: Lee, Hong kyu, et al.
Published: (2024)
by: Lee, Hong kyu, et al.
Published: (2024)
Secure Outsourced Decryption for FHE-based Privacy-preserving Cloud Computing
by: Ma, Xirong, et al.
Published: (2024)
by: Ma, Xirong, et al.
Published: (2024)
Architecture for Protecting Data Privacy in Decentralized Social Networks
by: Cao, Quang, et al.
Published: (2024)
by: Cao, Quang, et al.
Published: (2024)
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
by: Bertran, Martin, et al.
Published: (2024)
by: Bertran, Martin, et al.
Published: (2024)
IDCloak: A Practical Secure Multi-party Dataset Join Framework for Vertical Privacy-preserving Machine Learning
by: Chen, Shuyu, et al.
Published: (2025)
by: Chen, Shuyu, et al.
Published: (2025)
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
by: Fang, Congyu, et al.
Published: (2024)
by: Fang, Congyu, et al.
Published: (2024)
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
by: Naderloui, Nima, et al.
Published: (2025)
by: Naderloui, Nima, et al.
Published: (2025)
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
by: Rashid, Md Rafi Ur, et al.
Published: (2024)
by: Rashid, Md Rafi Ur, et al.
Published: (2024)
Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical Study
by: Ji, Changlong, et al.
Published: (2024)
by: Ji, Changlong, et al.
Published: (2024)
Privacy-preserving authentication for military 5G networks
by: Lutz, I. D., et al.
Published: (2025)
by: Lutz, I. D., et al.
Published: (2025)
Similar Items
-
Robustness of Watermarking on Text-to-Image Diffusion Models
by: Wu, Xiaodong, et al.
Published: (2024) -
When There Is No Decoder: Removing Watermarks from Stable Diffusion Models in a No-box Setting
by: Wu, Xiaodong, et al.
Published: (2025) -
SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models
by: Wu, Xiaodong, et al.
Published: (2025) -
SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts
by: Wu, Xiaodong, et al.
Published: (2025) -
Security, Privacy, and Ethical Risks in OpenClaw
by: Jin, Yutong, et al.
Published: (2026)