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Dongfang Zhao

7 papers hereh-index 00 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • last author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.CL2
  • cs.CV1
same name
  • Dongfang Zhao — 17 papers, h 13
  • Dongfang Zhao — 13 papers, h 3
  • Dongfang Zhao — 12 papers, h 22
  • Dongfang Zhao — 11 papers, h 2
  • Dongfang Zhao — 10 papers, h 3
  • Dongfang Zhao — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

DSBA: Dynamic Stealthy Backdoor Attack with Collaborative Optimization in Self-Supervised Learning

Jiayao Wang, Mohammad Maruf Hasan, Yiping Zhang +5

Self-Supervised Learning (SSL) has emerged as a significant paradigm in representation learning thanks to its ability to learn without extensive labeled data, its strong generaliza…

cs.CR2026

BadRSSD: Backdoor Attacks on Regularized Self-Supervised Diffusion Models

Jiayao Wang, Yiping Zhang, Mohammad Maruf Hasan +5

Self-supervised diffusion models learn high-quality visual representations via latent space denoising. However, their representation layer poses a distinct threat: unlike tradition…

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…

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