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researcher

Weiming Zhang

18 papers hereh-index 14554 citations69 works total

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

author position
  • middle author13
  • last author5

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CR11
  • cs.CV4
  • cs.CL1
  • cs.MM1
  • cs.SD1
same name
  • Weiming Zhang — 41 papers, h 53
  • Weiming Zhang — 36 papers, h 12
  • Weiming Zhang — 31 papers, h 26
  • Weiming Zhang — 13 papers, h 4
  • Weiming Zhang — 12 papers, h 4
  • Weiming Zhang — 10 papers, h 5

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

activity
20232026
most citedNatias: Neuron Attribution based Transferable Image Adversarial Steganography

7 citations · 15 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CR2026

PURA: Provably Unbiased and Robust Multi-Bit Watermarking for AI-Generated Text Attribution

Yaofei Wang, Jinyang Guo, Shuchao Du +6

Fine-grained attribution of AI-generated text is becoming increasingly important for accountability and auditing, yet existing multi-bit watermarking methods still struggle to simu…

cs.CR2026

Between Safe Boundaries: Exploiting Temporal Consistency for Jailbreaking Text-To-Video Generation Models

Xingkai Peng, Jun Jiang, Jiayang Liu +2

Recently, text-to-video (T2V) models have been widely deployed, sparking growing concerns over their robustness against jailbreak attacks. Existing jailbreak methods, mostly adapte…

cs.CV2026

DNA: Dual-stage Native Attribution for Generated Image Source Tracing

Chao Wang, Kejiang Chen, Zijin Yang +4

The rapid evolution of image generation has produced numerous within-family variants, making source-model attribution of suspect images increasingly important for digital forensics…

cs.CR2026

Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries

Ki Sen Hung, Xi Yang, Chang Liu +7

A central goal of LLM alignment is to balance helpfulness with harmlessness, yet these objectives conflict when the same knowledge serves both legitimate and malicious purposes. Th…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.