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Xingyu Zhao

8 papers hereh-index 6291 citations15 works total

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

author position
  • middle author8

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
  • cs.CL1
  • cs.RO1
same name
  • Xingyu Zhao — 26 papers, h 17
  • Xingyu Zhao — 13 papers, h 6
  • Xingyu Zhao — 8 papers, h 3
  • Xingyu Zhao — 6 papers, h 6
  • Xingyu Zhao — 3 papers, h 4
  • Xingyu Zhao — 3 papers

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 citedBuilding Guardrails for Large Language Models

14 citations · 17 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

Let the Carrier Carry the Attack: Preserving the Subject in Adversarial Image Generation

Linfeng Jiang, Steven McDonagh, Yuhang Chen +3

Strong unrestricted adversarial attacks can distort the primary object of an image, hereafter referred to as the subject. To preserve subject integrity without compromising attack…

cs.CV2025

Fragile by Design: On the Limits of Adversarial Defenses in Personalized Generation

Zhen Chen, Yi Zhang, Xiangyu Yin +4

Personalized AI applications such as DreamBooth enable the generation of customized content from user images, but also raise significant privacy concerns, particularly the risk of…

cs.CV2025

TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language Models

Xiangyu Yin, Yi Qi, Jinwei Hu +5

Vision Language Models (VLMs) have demonstrated impressive inference capabilities, but remain vulnerable to jailbreak attacks that can induce harmful or unethical responses. Existi…

cs.CV2024

SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model

Zhenglin Huang, Jinwei Hu, Xiangtai Li +6

The rapid advancement of generative models in creating highly realistic images poses substantial risks for misinformation dissemination. For instance, a synthetic image, when share…

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