Biography

I am currently an MPhil student in AI at HKUST(GZ) under the supervision of Prof. Li Liu. Previously, after getting my MSc CS degree from HKU, I used to work as a full-time research assistant at Applied Security, Trust And Privacy Lab for Enterprise of PolyU under the supervision of Prof. Haibo Hu. During my undergraduate time at ECNU, I also participated in part-time research at Shanghai Key Laboratory of Trustworthy Computing under the supervision of Prof. Dehui Du. It is also my pleasure to work with close co-authors Zi Liang, Weilin Lin, and Nanjun Zhou.

Interests
  • AI Security
  • Adversarial/Backdoor Attack
  • Adversarial Training
  • Speech/Image Generation
Education

  • M.Phil. in Artificial Intelligence, 2024-Now

    The Hong Kong University of Science and Technology (Guangzhou)

  • M.Sc. in Computer Science, 2022-2024

    The University of Hong Kong

  • B.Eng. in Software Engineering, 2018-2022

    East China Normal University

Publications

Weilin Lin, Nanjun Zhou, Yanyun Wang, Jianze Li, Hui Xiong, Li Liu (2025). BackdoorDM: A Comprehensive Benchmark for Backdoor Learning in Diffusion Model. ArXiv Preprint.

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Yanyun Wang, Li Liu, Zi Liang, Qingqing Ye, Haibo Hu (2024). New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes. ArXiv Preprint.

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Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu (2024). "Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation. ArXiv Preprint.

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Yanyun Wang, Dehui Du, Haibo Hu, Zi Liang, Yuanhao Liu (2024). TSFool: Crafting Highly-Imperceptible Adversarial Time Series Through Multi-Objective Attack. In 27th European Conference on Artificial Intelligence (ECAI'24). Oral.

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Yanyun Wang, Dehui Du, Yuanhao Liu (2023). Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers. In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC'23).

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Mingjun Ma, Dehui Du, Yuanhao Liu, Yanyun Wang, Yiyang Li (2022). Efficient Adversarial Sequence Generation for RNN with Symbolic Weighted Finite Automata. In SafeAI Workshop @ 36th AAAI Conference on Artificial Intelligence (AAAI'22). Best Paper Award Nomination.

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Posts

Reading Note of the Paper "A Survey on Neural Speech Synthesis"
Text-to-speech (TTS), also known as speech synthesis, aims to synthesize intelligible and natural speech from text. Neural TTS adopts DNNs as the model backbone for speech synthesis.
Yanyun Wang
Last updated on Mar 17, 2025 1 min read
Reading Note of the Paper "A Survey on Neural Speech Synthesis"
Reading Note of the Paper "Membership Inference Attacks on Machine Learning - A Survey"
Membership Inference Attack (MIA) is to infer whether a data record was used to train a target model or not. MIAs on ML models can directly lead to a privacy breach.
Yanyun Wang
Last updated on Jun 17, 2023 1 min read
Reading Note of the Paper "Membership Inference Attacks on Machine Learning - A Survey"
Reading Note of the Paper "Survey - Leakage and Privacy at Inference Time"
Leakage of data from publicly available ML models is an area of growing significance since it can draw on multiple sources of data, including users’ sensitive data.
Yanyun Wang
Last updated on Jul 1, 2023 1 min read
Reading Note of the Paper "Survey - Leakage and Privacy at Inference Time"
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Honors & Awards

Excellent Graduate Award, East China Normal University, 2022

Excellent Bachelor's Degree Thesis Award, East China Normal University, 2022

Excellent Undergraduate Student, East China Normal University, 2020 & 2021

First / Second-class Scholarship, East China Normal University, 2020 / 2021

Services

Conference Reviewer - CVPR (2025, 2024), ICCV (2025), AAAI (2025)

Journal Reviewer - TKDE
“All human wisdom is contained in these two words: Wait and Hope.” ― Alexandre Dumas