I am a Research Fellow at the School of Computing, National University of Singapore (hosted by Prof. Jin-Song Dong) and the College of Computing and Data Science, Nanyang Technological University (hosted by Prof. Tianwei Zhang).
I received my Ph.D. in Cyberspace Security from the Institute of Information Engineering, Chinese Academy of Sciences (IIE, CAS) and the University of Chinese Academy of Sciences (UCAS), and my B.Eng. in Computer Science and Technology from Shandong University.

My research focuses on Practical Cryptographic Systems for Secure and Private AI, including secure multi-party computation, federated learning, private inference for large language models, and IoT security. I am passionate about building efficient, scalable, and usable privacy-enhancing technologies.

🔬 I am always open to academic collaborations!

📰 Latest News

• Dec 2025 - Our survey “Cryptography-based privacy-preserving large language models: a lifecycle survey of frameworks, methods, and future directions” got accepted by Artificial Intelligence Review
• Dec 2025 - Our paper “ChatIoT: Large language model-based security assistant for internet of things with RAG” got accepted by ACNS 2026
• Dec 2025 - Paper “Streaming Function Secret Sharing and Its Applications” got accepted by USENIX Security 2026
• Dec 2025 - “Alkaid: Accelerating Three-Party Boolean Circuits by Mixing Correlations and Redundancy.” got accepted at IEEE TIFS 2025
• Dec 2025 - “M&M: Secure Two-Party Machine Learning through Efficient Modulus Conversion and Mixed-Mode Protocols” got accepted at IEEE TDSC 2025
• Sep 2025 - Paper “MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference” got accepted at NeurIPS 2025

🔬 Research Interests

• Privacy-Preserving AI – Secure inference & training for deep learning and LLMs
• Applied Cryptography – Secure Multi-Party Computation, Function secret sharing, Private set intersection
• Federated Learning – Secure Aggregation, Byzantine robustness, and Incentive Mechanisms

📚 Selected Publications

Full list at Google Scholar

• [USENIX Security 2026] Streaming Function Secret Sharing and Its Applications
  Xiangfu Song, Jianli Bai, Ye Dong^✉, Yijian Liu, Yu Zhang, Xianhui Lu, Tianwei Zhang
  📄 PDF | Code

• [TDSC 2025] M&M: Secure Two-Party Machine Learning through Efficient Modulus Conversion and Mixed-Mode Protocols
  Ye Dong, Wenjie Lu^✉, Xiaoyang Hou, Kang Yang, Jian Liu
  📄 PDF | Code

• [TIFS 2025] ALKAID: Accelerating Three-Party Boolean Circuits by Mixing Correlations and Redundancy
  Ye Dong, Xudong Chen, Xiangfu Song^✉, Yaxi Yang, Wenjie Lu, Tianwei Zhang, Jianying Zhou, Jin-Song Dong
  📄 PDF | Code

• [Security & Safety 2025] PUMA: Secure Inference of LLaMA-7B in Five Minutes
  Ye Dong, Wenjie Lu, Yancheng Zheng, Haoqi Wu, Derun Zhao, Jin Tan, Zhicong Huang, Cheng Hong^✉, Tao Wei, Wenguang Chen, Jianying Zhou
  📄 PDF | Code

• [NeurIPS 2025] MPCache: MPC-friendly KV Cache Eviction for Efficient Private Large Language Model Inference
  Wenxuan Zeng, Ye Dong, Jinjin Zhou, Junming Ma, Jin Tan, Runsheng Wang, Meng Li^✉
  📄 PDF | Code

• [ACSAC 2025] MIZAR: Boosting Secure Three-Party Deep Learning with Co-Designed Sign-Bit Extraction and GPU Acceleration
  Ye Dong, Xudong Chen, Xiangfu Song, Yaxi Yang^✉, Tianwei Zhang, and Jin-Song Dong
  📄 PDF | Code —

🏆 Awards & Honors

• 🥇 Outstanding Ph.D. Graduate Award, IIE, CAS (2023)
• 🏅 CAS Presidential Scholarship – Excellent Prize (2023)

🤝 Professional Services

• 🎯 Chair: ACNSW-SIMLA 2025
• 📝 PC/Editor Board Member:
  • PoPETs 2025 & 2026
  • Eurosys 2026 (Shadow)
  • EAI-MobiQuitous 2025
  • CCS 2025 (Poster/Demo)
  • RAID 2025
  • IACR CiC 2025 & 2026
• 👨‍🏫 Reviewer:
  • Conferences: NeurIPS 2025 (Position Track), CVPR 2026 & 2025, KDD 2025, WWW 2025
  • Journals: TDSC, TIFS, TSC, TWEB, ACM Computing Surveys

💻 Open-Source Projects

• 🔐 CPS4AI – Cryptography, Privacy, and Security for Artificial Intelligence
• 🤖 PPML-Resource – Privacy-Preserving Machine Learning Resources

📄 Download

• 📥 Curriculum Vitae (PDF) – Updated Dec 2025