Chih-Hsun Lin

Chih-Hsun Lin

CV

Academic Biography

Chih-Hsun Lin is an incoming Assistant Professor in the Department of Computer Science at National Chengchi University, Taiwan. He received his Ph.D. in Computer Science and Engineering from National Yang Ming Chiao Tung University in 2025.

His research interests lie at the intersection of differential privacy, neural network security, and privacy-preserving data analysis, with a particular focus on local differential privacy, privacy amplification via shuffling, and differentially private data synthesis for tabular, image, and time-series data.

Education

  • Ph.D. in Computer Science and Engineering, 2025
    National Yang Ming Chiao Tung University, Taiwan

  • M.S. in Computer Science and Engineering, 2020
    National Chung Hsing University, Taiwan

  • B.S. in Applied Mathematics, 2012
    National Chung Hsing University, Taiwan

Research Interests

  • Differential Privacy (Central, Local, and Shuffle Models)
  • Privacy-Preserving Data Synthesis
  • Neural Network Security and Robustness
  • Secure Machine Learning Applications in Healthcare and Behavioral Data

Publications

Journal Articles

  1. DPAF: Image Synthesis via Differentially Private Aggregation in the Forward Phase
    Chih-Hsun Lin, Chia-Yi Hsu, Chia-Mu Yu, Cao Yang, Chun-Ying Huang
    IEEE Internet of Things Journal (IEEE IoT-J), 2025.

  2. DPView: Differentially Private Data Synthesis through Domain Size Information
    Chih-Hsun Lin, Chia-Mu Yu, Chun-Ying Huang
    IEEE Internet of Things Journal (IEEE IoT-J), 2022.

Conference Papers

  1. 顔ランドマーク抽出妨害する敵対的攻撃によるディープフ ェイク生成防御
    楊力懿, 林志訓, 菊池浩明
    第110回CSEC研究発表会, 2025.

  2. VP-NTK: Exploring Visual Prompting in Differentially Private Data Synthesis
    Chia-Yi Hsu, Jia-You Chen, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025.

  3. Safe LoRA: Reducing Safety Risks When Fine-Tuning Large Language Models
    Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
    Neural Information Processing Systems (NeurIPS), 2024.

  4. Ring-A-Bell! How Reliable Are Concept Removal Methods?
    Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
    International Conference on Learning Representations (ICLR), 2024.

  5. Deepfake Detection through Temporal Attention Mechanisms
    Hsiu-Fu Wu, Chia-Yi Hsu, Chih-Hsun Lin, Chia-Mu Yu, Chun-Ying Huang
    IEEE Wireless and Optical Communications Conference (IEEE WOCC), 2024.

  6. Privacy-Preserving Record Linkage via Bilinear Pairing
    Chih-Hsun Lin, Chia-Mu Yu
    IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2018.

  7. 加密雲端數據上模糊化多關鍵字搜尋的隱私保護
    林志訓, 魏瑋良, 游家牧
    全國資訊安全會議, 2017.

Manuscripts Under Review

  • An End-to-End Differential Privacy Protocol for Polypharmacy Risk Analysis
    Hiroaki Kikuchi, Chih-Hsun Lin
    Submitted to IEEE Access.

  • Data Poisoning Attacks to Locally Differentially Private Range Query Protocols
    Ting-Wei Liao, Chih-Hsun Lin, Yu-Lin Tsai, Takao Murakami, Chia-Mu Yu, Jun Sakuma, Chun-Ying Huang, Hiroaki Kikuchi
    Submitted to IEEE Symposium on Security and Privacy (IEEE S&P), 2026.

  • Poisoning Attacks to Local Differential Privacy Protocols for Trajectory Data
    I-Jung Hsu, Chih-Hsun Lin, Chia-Mu Yu, Sy-Yen Kuo, Chun-Ying Huang
    Submitted to IEEE Transactions on Information Forensics and Security (IEEE TIFS).

  • BadTV: Unveiling Backdoor Threats in Third-Party Task Vectors
    Chia-Yi Hsu, Yu-Lin Tsai, Yu Zhe, Yan-Lun Chen, Chih-Hsun Lin, Chia-Mu Yu, Yang Zhang, Chun-Ying Huang, Jun Sakuma
    Submitted to ACM Conference on Computer and Communications Security (ACM CCS), 2026.

Experience

Postdoctoral Researcher, Meiji University, Japan (Nov 2025 – Jan 2026)
Visiting Researcher, Meiji University, Japan (Sep 2024 – Aug 2025)
Visiting Researcher, Hokkaido University, Japan (Jan 2023 – Feb 2023)
Visiting Researcher, Tokyo Institute of Technology, Japan (Jul 2017 – Aug 2017)

Academic Service

  • Reviewer for journals and conferences in security, privacy, and machine learning (details available upon request)

Teaching

  • Privacy-Preserving Computing (graduate, 2026 spring)
  • Ethics and Security in Artificial Intelligence (undergraduate, 2026 spring)