---

Home / Research / People / Teaching / Service / Talk / Award

---

I am an ARC Discovery Early Career Researcher Awardee (DECRA Fellow) and a Senior Lecturer (US Associate Professor equivalent) at the School of Computing Technologies, RMIT University, Melbourne, Australia. I earned my Ph.D. degree in Computer Science at RMIT University in 2022, under the supervision of Prof. Xun Yi. During that time, I was fortunate to be mentored by Dr. Yifeng Zheng.

I am the recipient of the ARC Discovery Early Career Researcher Award 2026, the sole Best Paper Award of ESORICS 2021, the RMIT HDR Research Prize 2023. My work has appeared in prestigious venues in computer security, such as USENIX Security, NDSS, IEEE TDSC, TIFS. I have served on the technical program committee (TPC member) of USENIX Security, EuroS&P, ASIACCS, and the program co-chair of LAMPS at CCS 2025. I also serve as an Associate Editor for IEEE TSC.

---

Research

I have been working on secure multi-party computation and its applications in privacy-preserving machine learning. My goal is to build impactful work that is expected to push forward the deployment of PPML on practical usages. My design philosophy is:

• Devising lightweight and fundamental secure computation protocols. I am particularly interested in the cryptographic techniques like secure multiparty computation, function secret sharing, zero knowledge proof.


• Unveiling and mitigating output privacy risks. Legitimate secure inference results can still be exploited by AI attacks to recover the AI model and its training data information, resulting in output privacy breach. I aim to set out the systematic investigation of such an exploitation and enable mitigation techniques to remedy the risks, like guarding membership privacy (SIGuard).


• Building secure and practical PPML systems that harness the insights from computer systems, cryptography, machine learning. I conduct interdisciplinary research empowering versatile real-world service scenarios, like MLaaS (MediSC), deep graph learning (OblivGNN), secure outsourced computation in the cloud (Sonic), mobile-edge computing (Leia).

---

News

---

Useful Links

• MPC Papers, Tutorials, and Frameworks
• PPML-Resource: https://github.com/Ye-D/PPML-Resource
• Awesome-ML-Security-and-Privacy-Papers: https://github.com/gnipping/Awesome-ML-SP-Papers
• Quality Research
• Quality Research in Affordable Ways by Dr. Qiang Yan: http://www.mysmu.edu/phdis2008/qiang.yan.2008/Doc/Quality%20Research%20in%20Affordable%20Way.pdf
• Scientific Writing Skills by Prof. Guanrong Chen: http://www.ee.cityu.edu.hk/~gchen/pdf/Writing.pdf
• Computer Security Conference Ranking and Statistic
• http://jianying.space/conference-ranking.html
• http://faculty.cs.tamu.edu/guofei/sec_conf_stat.htm
• Security and Privacy Conference Deadline
• https://sec-deadlines.github.io/

---

Last update: 2026/01