张宇辰 - Yuchen(Dennis) Zhang
Ph.D. in Computer Science
Google Scholar, GitHub, LinkedIn, Twitter, Curriculum Vitae
About Me
I'm currently a postdoctoral researcher with the Secure Systems Laboratory (SSL) at the Tandon School of Engineering, New York University, advised by Prof. Justin Cappos. I obtained my Ph.D. from the Department of Computer Science, Stevens Institute of Technology, where I was fortunately co-advised by Prof. Jun Xu, and Prof. Georgios Portokalidis. Before joining Stevens, I studied at the Michtom School of Computer Science, Brandeis University for the Master's degree, advised by Prof. Hongfu Liu. Prior to Brandeis, I received my Bachelor's degree from Boston University, majoring in Computer Science. I am broadly interested in any type of fuzzing, static analysis, system security, and software security, with the current focus on Rust programming and software supply chain security.
Education
Ph.D., Department of Computer Science, Stevens Institute of Technology
M.S., Michtom School of Computer Science, Brandeis University (transferred to SIT in 2019)
B.A., Department of Computer Science, Boston University
Publication
Yuchen Zhang, Ashish Kundu, Georgios Portokalidis, Jun Xu, "On the Dual Nature of Necessity in Use of Rust Unsafe Code". In Proceedings of the 31th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2023, Industry Track) [Source Code][⧉DOI]
Yuchen Zhang, Yunhang Zhang, Georgios Portokalidis, Jun Xu, "Towards Understanding the Runtime Performance of Rust". In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering (ASE 2022, Industry Track) [Source Code][⧉DOI]
Yuchen Zhang, Chengbin Pang, Georgios Portokalidis, Nikos Triandopoulos, Jun Xu, "Debloating Address Sanitizer". In Proceedings of the 31st USENIX Security Symposium (USENIX Security 2022, AE Badges: Artifacts Available; Artifacts Functional; Results Reproduced) [Source Code][Video]
Ruotong Yu, Francesca Del Nin, Yuchen Zhang, Shan Huang, Pallavi Kaliyar, Sarah Zakto, Mauro Conti, Georgios Portokalidis, Jun Xu, "Building Embedded Systems Like It’s 1996". In Proceedings of the 29th Network and Distributed System Security Symposium (NDSS 2022) [Source Code][Video]
Ruotong Yu, Yuchen Zhang, Shan Huang, "An In-Depth Analysis on Adoption of Attack Mitigations in Embedded Devices". In Proceedings of the Learning from Authoritative Security Experiment Results (NDSS LASER Workshop 2022) [Abstract]
Yifan Wang*, Yuchen Zhang*, Chengbin Pang, Peng Li, Nikos Triandopoulos, Jun Xu, "Facilitating parallel fuzzing with mutually-exclusive task distribution". In Proceedings of the EAI International Conference on Security and Privacy in Communication Networks, 2021 (SecureComm 2021, Best Paper Award) (* indicates equal contribution) [Source Code] [Video]
Work Experience
Security Engineer Intern @ TikTok, ByteDance, Mountain View, CA (2022), working with Dr. Peng Li.
Software Development Engineer Intern @ Alexa Team, Amazon, Boston, MA (2019).
Professional Services
[DSN] the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Program Committee 2024
[ISSRE] the 34th IEEE International Symposium on Software Reliability Engineering, Sub-Reviewer 2023
[USENIX] the 31st USENIX Security Symposium, Artifact Evaluation Committee 2022
Honors & Awards
ACM SIGSOFT CAPS Award, ESEC/FSE Conference, Fall 2023
Excellence in Graduate Research Award, Stevens Institute of Technology, May 2023
ACM SIGSOFT CAPS Award, ASE Conference, Fall 2022
Student Grant Award, USENIX Security, Summer 2022
Best Paper Award, SecureComm, Fall 2021
Provost's Doctoral Fellowship, Stevens Institute of Technology, Fall 2019
Dean’s List, Boston University, Fall 2017
Teaching
CS492: Operating Systems, Spring 2023
CS576: Systems Security, Fall 2022
CS576: Systems Security, Spring 2022
CS492: Operating Systems, Spring 2021
CS577: Reverse Engineering & Application Analysis, Fall 2020