Renyang Liu
Scholar

Renyang Liu

Google Scholar ID: yUJafNAAAAAJ
National University of Singapore
AI Security & Data PrivacyMachine UnlearningComputer Vision
Citations & Impact
All-time
Citations
110
 
H-index
6
 
i10-index
4
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - FACTGUARD: Event-Centric and Commonsense-Guided Fake News Detection (AAAI 2026)
  • - D-Judge: How Far Are We? Assessing the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance (MM 2025)
  • - Rethinking Machine Unlearning in Image Generation Models (CCS 2025)
  • Other Achievements:
  • - One paper on AIGC naturalness evaluation accepted by ACM MM (CCF-A)
  • - One paper on Image Generation Model Unlearning accepted by ACM CCS (CCF-A, Big 4)
  • - One paper accepted by TMM (SCI Q1, CCF-B, TOP)
Research Experience
  • Current position: Research Fellow at the Institute of Data Science, National University of Singapore (August 2024 - present). Previous research experiences at NTU and SYSU.
Education
  • PhD degree: Yunnan University, supervised by Prof. Wei Zhou; 2022-2023: Visiting student at College of Computing and Data Science, NTU, supervised by Prof. LAM, Kwok Yan; 2023-2024: Research Intern at School of Cyber Security, SYSU, supervised by Prof. Ziyu Lyu.
Background
  • Research Interests: AI Security & Data Privacy, Machine Unlearning, Adversarial Attacks & Defense, Trustworthy Generative AI. Currently a Research Fellow at the Institute of Data Science, National University of Singapore, under the supervision of Prof. See-Kiong Ng.
Miscellany
  • Welcomes collaborations, research interns, and visiting students (e.g., CSC) in AI Security and related areas.