CV
Education
- Ph.D. in Computer Science, Vrije Universiteit Amsterdam and Centrum Wiskunde & Informatica (CWI Amsterdam), Oct 2022 - present. Advisors: Prof. Fabio Massacci (VU) and Prof. Marten van Dijk (CWI); daily supervisor: Dr. Chenglu Jin (CWI)
- M.S. in Computer Science, Chongqing University of Technology, Sep 2019 - Jul 2022. Advisor: Prof. Zheng Yang
- B.S. in Software Engineering, Chongqing University of Technology, Sep 2015 - Jul 2019
Research Visits & Internships
- Jul 2024 - Aug 2024: Research visit / intern, Tsinghua University and Shanghai Jiao Tong University (Beijing / Shanghai)
- Hosted by Prof. Sisi Duan (THU), Prof. Haibin Zhang and Prof. Shengli Liu (SJTU / Yangtze Delta Institute)
- Nov 2020 - May 2021: Visiting graduate research student, Singapore University of Technology and Design
- Advisor: Prof. Jianying Zhou
Publications
Chao Yin, Haihong Tian, Zheng Yang, Haibin Zhang, Fabio Massacci, and Chenglu Jin. 2026. CRSF: Collusion-Resilient Privacy-Preserving Sensor Fusion with Byzantine-Robust Participation. Information Security Conference (ISC ‘26). PDF
Chenglu Jin, Chao Yin (co-first), Marten van Dijk, Sisi Duan, Fabio Massacci, Michael K. Reiter, and Haibin Zhang. 2024. PG: Byzantine Fault-Tolerant and Privacy-Preserving Sensor Fusion with Guaranteed Output Delivery. ACM Conference on Computer and Communications Security (CCS ‘24). https://doi.org/10.1145/3658644.3670343 PDF
Zheng Yang, Chao Yin (co-first and corresponding author), Junming Ke, Tien Tuan Anh Dinh, and Jianying Zhou. 2022. If You Can’t Beat Them, Pay Them: Bitcoin Protection Racket is Profitable. In Proceedings of the 38th Annual Computer Security Applications Conference (ACSAC ‘22). Association for Computing Machinery, New York, NY, USA, 727–741. https://doi.org/10.1145/3564625.3567983 PDF
Zheng Yang, Tien Tuan Anh Dinh, Chao Yin, Yingying Yao, Dianshi Yang, Xiaolin Chang, and Jianying Zhou. 2022. LARP: A Lightweight Auto-Refreshing Pseudonym Protocol for V2X. In Proceedings of the 27th ACM on Symposium on Access Control Models and Technologies (SACMAT ‘22). Association for Computing Machinery, New York, NY, USA, 49–60. https://doi.org/10.1145/3532105.3535027 PDF
Zheng Yang, Chao Yin, Chenglu Jin, Jianting Ning, and Jianying Zhou. 2021. Lightweight Delegated Authentication with Identity Fraud Detection for Cyber-physical Systems. In Proceedings of the 7th ACM on Cyber-Physical System Security Workshop (CPSS ‘21). Association for Computing Machinery, New York, NY, USA, 17–28. https://doi.org/10.1145/3457339.3457984 PDF
Preprints
- Chao Yin, Zunchen Huang, Chenglu Jin, Marten van Dijk, and Fabio Massacci. 2026. Function Recovery Attacks in Gate-Hiding Garbled Circuits using SAT Solving. arXiv:2601.13271. PDF
Talks
- Apr 2026: Oral presentation, NWO ICT.OPEN 2026. Presented PG: Byzantine Fault-Tolerant and Privacy-Preserving Sensor Fusion With Guaranteed Output Delivery at The Art of Security and Trust track, De Doelen, Rotterdam.
- Dec 2022: Conference talk, ACSAC 2022, Austin, Texas, USA. Presented If You Can’t Beat Them, Pay Them: Bitcoin Protection Racket is Profitable.
- Jun 2022: Conference talk, ACM SACMAT 2022 (online). Presented LARP: A Lightweight Auto-Refreshing Pseudonym Protocol for V2X.
- Jun 2021: Conference talk, ACM CPSS 2021 (virtual). Presented Lightweight Delegated Authentication with Identity Fraud Detection for Cyber-physical Systems.
Awards, Fellowships, & Grants
- 2022-2026: China Scholarship Council PhD Fellowship. Full doctoral fellowship awarded through national competitive selection.
- 2021: University Scholarship for Overseas Study. Competitive funding for a six-month overseas research visit.
- 2019-2021: Graduate Academic Excellence Scholarships. Merit-based scholarships awarded annually during my master’s program.
Teaching and Supervision
- 2024, 2026: Teaching Assistant, Security and Safety Engineering. Graded assignments, assisted students with security and safety engineering concepts, and provided feedback on coursework.
- 2024-2026: Master’s student supervision, Haihong Tian, Southwest University. Supervised research on secure computation and privacy-preserving sensor fusion, including research problem formulation, literature review, and experimental design.