Scholar
Zhongliang Guo
Google Scholar ID: LCe4PLcAAAAJ
University of St Andrews
Computer Vision
Adversarial Attack
Adversarial Samples
Trustworthy AI
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Citations & Impact
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Citations
266
H-index
10
i10-index
11
Publications
20
Co-authors
8
list available
Contact
Email
zg34@st-andrews.ac.uk
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Publications
14 items
Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition
arXiv.org · 2025
Cited
0
GuardFed: A Trustworthy Federated Learning Framework Against Dual-Facet Attacks
2025
Cited
0
P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
2025
Cited
0
Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
2025
Cited
0
HRIPBench: Benchmarking LLMs in Harm Reduction Information Provision to Support People Who Use Drugs
2025
Cited
0
Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity
2025
Cited
0
Towards more transferable adversarial attack in black-box manner
2025
Cited
0
My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping
2025
Cited
0
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Resume (English only)
Background
Research interests include Artificial Intelligence, Machine Learning, Computer Vision, and Adversarial Attack.
Miscellany
Technical Skills: Python, PyTorch, SQL; Hobbies: Video Games, Cats, Soccer; Languages: Mandarin (100%), English (75%)
Co-authors
8 total
Shuai Zhao
Postdoctoral, Nanyang Technological University
Oгњeн Аранђeлoвић / Ognjen Arandjelović
Reader (Professor) at University of St Andrews
Yifei Qian
School of Computer Science, University of Notthingham
Chun Pong Lau
Assistant Professor, City University of Hong Kong
Yanli Li
The University of Sydney
Lei Fang
Lecturer, University of St. Andrews
antony lei
City University of Hong Kong
Co-author 8
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