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Guozhu Meng

13 papers hereh-index 13612 citations36 works total

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

author position
  • middle author11
  • last author2

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CR11
  • cs.LG1
  • cs.SE1
same name
  • Guozhu Meng — 14 papers, h 23
  • Guozhu Meng — 4 papers, h 2
  • Guozhu Meng — 3 papers, h 4

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
20202026
most citedA Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

140 citations · 189 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CR2024

A Survey on Physical Adversarial Attacks against Face Recognition Systems

Mingsi Wang, Jiachen Zhou, Tianlin Li +2

As Face Recognition (FR) technology becomes increasingly prevalent in finance, the military, public safety, and everyday life, security concerns have grown substantially. Physical…

cs.CR2024

Dormant: Defending against Pose-driven Human Image Animation

Jiachen Zhou, Mingsi Wang, Tianlin Li +2

Pose-driven human image animation has achieved tremendous progress, enabling the generation of vivid and realistic human videos from just one single photo. However, it conversely e…

cs.CR2024

AuthNet: Neural Network with Integrated Authentication Logic

Yuling Cai, Fan Xiang, Guozhu Meng +2

Model stealing, i.e., unauthorized access and exfiltration of deep learning models, has become one of the major threats. Proprietary models may be protected by access controls and…

cs.CR2024★ 5 cited

Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction

Tong Liu, Yingjie Zhang, Zhe Zhao +3

In recent years, large language models (LLMs) have demonstrated notable success across various tasks, but the trustworthiness of LLMs is still an open problem. One specific threat…

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