Renyang Liu

Research Fellow, National University of Singapore (NUS). E-mail, ryliu[AT]nus.edu.sg

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I am currently a Research Fellow at the Institute of Data Science, National University of Singapore, Singapore Flag, under the supervision of Prof. See-Kiong Ng👨‍🏫 and collaborating closely with Prof. Tianwei Zhang👨‍🏫 from Nanyang Technological University, Singapore Flag. Before that, I received my PhD degree 🎓 at Yunnan University, China Flag, supervised by Prof. Wei Zhou 👨‍🔬. 📅 From 2022 to 2023, I was a visiting student at the College of Computing and Data Science, Nanyang Technological University, Singapore, Singapore Flag, under the supervision of Prof. LAM, Kwok Yan 👨‍🏫. 📅 From 2023 to 2024, I am a Research Intern at the School of Cyber Security, Sun Yat-sen University, China Flag, supervised by Prof. Ziyu Lvy👩‍🏫.

📍 Address: Innovation 4.0 🏢, #04-06, Research Link, Singapore 117602, Singapore

💡 Research Interests:

  • AI Security & Data Privacy 🔐
  • Machine Unlearning 🔄
  • Adversarial Attacks 🛡️
  • Computer Vision 👁️

News

May 27, 2025 One paper has been accepted by ESWA (SCI Q1, CCF-C, TOP)! Many thanks to my collaborators. ✨
Dec 23, 2024 ✨ Our latest paper, ANID: How Far Are We? Evaluating the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance, is now available! Check it out!
Dec 17, 2024 One paper has been accepted by EAAI (SCI Q1, CCF-C, TOP)! Many thanks to my collaborators. ✨
Sep 18, 2024 One paper has been accepted by TMM (SCI Q1, CCF-B, TOP)! Many thanks to my collaborators. :sparkles:
Aug 12, 2024 Start as a Research Fellow at the National University of Singapore. Looking forward to conducting exciting research on AI Security & Data Privacy with Prof. See-Kiong Ng in near future!:sparkles:
Jun 16, 2024 I was awarded the honor of Outstanding Ph.D. Graduate from Yunnan University! ✨

Selected Publications

  1. TMM 2025
    STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
    Renyang Liu, Kwok-Yan Lam, Wei Zhou, Sixing Wu, Jun Zhao, Dongting Hu, and Mingming Gong
    IEEE Transactions on Multimedia, 2025
  2. TWC 2024
    Post-Deployment Fine-Tunable Semantic Communication
    Peiyuan Si, Renyang Liu, Liangxin Qian, Jun Zhao, and Kwok-Yan Lam
    IEEE Transactions on Wireless Communications, 2024
  3. TIFS 2024
    Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models
    Renyang Liu, Wei Zhou, Tianwei Zhang, Kangjie Chen, Jun Zhao, and Kwok-Yan Lam
    IEEE Transactions on Information Forensics and Security, 2024
  4. TETCI 2024
    Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach
    Song Gao, Xiaoxuan Wang, Bingbing Song, Renyang Liu, Shaowen Yao, Wei Zhou, and Shui Yu
    IEEE Transactions on Emerging Topics in Computational Intelligence, 2024
  5. TDSC 2023
    Type-I generative adversarial attack
    Shenghong He, Ruxin Wang, Tongliang Liu, Chao Yi, Xin Jin, Renyang Liu, and Wei Zhou
    IEEE Transactions on Dependable and Secure Computing, 2023