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Dawn Song

4 papers hereh-index 5584 citations6 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.CR1
  • cs.CV1
same name
  • Dawn Song — 6 papers, h 6
  • Dawn Song — 5 papers, h 2
  • Dawn Song — 5 papers, h 4
  • Dawn Song — 4 papers, h 2
  • Dawn Song — 4 papers, h 3
  • Dawn Song — 4 papers, h 2

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

works on
adversarial attacks 1autonomous driving 1multimodal learning 1robustness evaluation 1vision-language models 1

From the 1 of 4 linked papers with an AI index.

collaborators

4 papers

cs.CV2026

Technical Report on the CVPR 2026@AdvML Workshop Challenge

Tianyuan Zhang, Zonglei Jing, Jiangfan Liu +47

The paper reports on the CVPR 2026@AdvML Workshop Challenge, which evaluated adversarial attacks on multimodal vision‑language agents for autonomous driving using multi‑view visual…

cs.CL2026

Can Editing LLMs Inject Harm?

Canyu Chen, Baixiang Huang, Zekun Li +12

Large Language Models (LLMs) have emerged as a new information channel. Meanwhile, one critical but under-explored question is: Is it possible to bypass the safety alignment and in…

cs.AI2025

Agentic Web: Weaving the Next Web with AI Agents

Yingxuan Yang, Mulei Ma, Yuxuan Huang +15

The emergence of AI agents powered by large language models (LLMs) marks a pivotal shift toward the Agentic Web, a new phase of the internet defined by autonomous, goal-driven inte…

cs.CR2025

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025

Zonghao Ying, Siyang Wu, Run Hao +44

Multimodal Large Language Models (MLLMs) have enabled transformative advancements across diverse applications but remain susceptible to safety threats, especially jailbreak attacks…

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