Zhengwei Fang
Scholar

Zhengwei Fang

Google Scholar ID: v5lIRxUAAAAJ
Beijing Jiaotong University
Adversarial RobustnessVision Language ModelComputer VisionUncertainty
Citations & Impact
All-time
Citations
284
 
H-index
5
 
i10-index
4
 
Publications
10
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers, including one highlighted at CVPR 2024 titled 'ANDA: Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning'; developed the TransferAttack framework to boost adversarial transferability for image classification.
Research Experience
  • Involved in several research projects on trustworthy AI, including MMTrustEval (a toolbox for benchmarking the trustworthiness of multimodal large language models) and MLA-Trust (a toolbox for benchmarking the trustworthiness of Multimodal LLM Agents across dimensions of truthfulness, controllability, safety, and privacy). Also worked on strong transferable adversarial attacks.
Background
  • Research interests include, but are not limited to, trustworthy artificial intelligence.
Miscellany
  • Lives in Beijing, China.
Co-authors
0 total
Co-authors: 0 (list not available)