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cs.CR2026
ADCA: Attention-Driven Multi-Party Collusion Attack in Federated Self-Supervised Learning
Jiayao Wang, Yiping Zhang, Jiale Zhang +4
Federated Self-Supervised Learning (FSSL) integrates the privacy advantages of distributed training with the capability of self-supervised learning to leverage unlabeled data, show…
cs.CR2026
HPE: Hallucinated Positive Entanglement for Backdoor Attacks in Federated Self-Supervised Learning
Jiayao Wang, Yang Song, Zhendong Zhao +5
Federated self-supervised learning (FSSL) enables collaborative training of self-supervised representation models without sharing raw unlabeled data. While it serves as a crucial p…
cs.CR2025
IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
Jiayao Wang, Yang Song, Zhendong Zhao +4
Federated self-supervised learning (FSSL) combines the advantages of decentralized modeling and unlabeled representation learning, serving as a cutting-edge paradigm with strong po…