I am currently a tenure-track assistant professor in the Department of Computer Science at the University of Texas at Dallas. I received my Ph.D. degree from George Mason University in 2023, advised by Dr. Kun Sun at the Center of Secure Information System and honored with Outstanding Dissertation Award. I got my B.E. degree from Harbin Institute of Technology in 2017. My research interest is software security, with a focus on applying machine/deep learning for vulnerability detection, patch management, program analysis, etc. I am also interested in AI security and systems security. 

News

[10/2024] Our paper "FedCAP: Robust Federated Learning via Customized Aggregation and Personalization" accepted by ACSAC 2024. Congrats to Youpeng!

[09/2024] Our paper "Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation" accepted by SecureComm 2024. Congrats to Weiliang!

[08/2024] Served in the TPC for USENIX Security 2025 and AsiaCCS 2025.

[05/2024] Served in the TPC for S&P (Oakland) 2025.

[04/2024] Our paper "Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia", in collaboration with Meta security researchers, accepted by DSN 2024 Industry Track.

[04/2024] Served in the TPC for DSN 2025.

[03/2024] Served in the TPC for RAID 2024.

[12/2023] Served in the TPC for ICDCS 2024 and AsiaCCS 2024.

[11/2023] Our paper "BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning" accepted by AsiaCCS 2024.

[11/2023] Served in the TPC for MADWeb 2024, co-located with NDSS 2024.

[10/2023] Served as the web chair for CCS 2024.

[08/2023] Served in the TPC for DSN 2024.

[08/2023] Received Grace Hopper Celebration of Women in Computing (GHC) 2023 Faculty Scholarship.

Publications

(Underlined: PhD students at UTD. **co-first author)

• FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. [paper]

Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, and Xuyu Wang.

Annual Computer Security Applications Conference (ACSAC), 2024.

• Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation. [paper]

Weiliang Qi, Jiahao Cao, Darsh Poddar, Sophia Li, and Xinda Wang.

EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2024.

• Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia. [paper] [video]

Shengye Wan, Joshua Saxe, Craig Gomes, Sahana Chennabasappa, Avilash Rath, Kun Sun, and Xinda Wang.

IEEE/IFIP International Conference on Dependable Systems and Networks Industry Track (DSN-Industry), 2024. 

• BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning. [paper]

Xu He, Shu Wang, Pengbin Feng, Xinda Wang, Shiyu Sun, Qi Li, and Kun Sun.

ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2024. 

• GraphSPD: Graph-Based Security Patch Detection with Enriched Code Semantics. [paper] [code] [website]

Shu Wang**, Xinda Wang**, Kun Sun, Sushil Jajodia, Haining Wang, and Qi Li.

IEEE Symposium on Security and Privacy (S&P), 2023. 

• Exploring Security Commits in Python. [paper] [dataset]

Shiyu Sun, Shu Wang, Xinda Wang, Yunlong Xing, Elisa Zhang, and Kun Sun.

IEEE International Conference on Software Maintenance and Evolution (ICSME), 2023. 

• DeepEAD: Explainable Anomaly Detection from System Logs. [paper]

Xinda Wang, Kyeong Kim, Ye Wang, Toshiaki Koike-Akino, and Kieran Parsons.

IEEE International Conference on Communication (ICC), 2023. 

• A Hybrid System Call Profiling Approach for Container Protection. [paper] [code]

Yunlong Xing**, Xinda Wang**, Sadegh Torabi, Zeyu Zhang, Lingguang Lei, and Kun Sun.

IEEE Transactions on Dependable and Secure Computing (TDSC), 2023.

• SysCap: Profiling and Crosschecking Syscall and Capability Configurations for Docker Images. [paper]

Yunlong Xing, Jiahao Cao, Xinda Wang, Sadegh Torabi, Kun Sun, Fei Yan, and Qi Li.

IEEE Conference on Communications and Network Security (CNS), 2022. 

• PatchRNN: A Deep Learning-Based System for Security Patch Identification. [paper] [code]

Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun, Sushil Jajodia, Sanae Benchaaboun, and Frank Geck.

IEEE/AFCEA Military Communications Conference (MILCOM), 2021. 

• PatchDB: A Large-Scale Security Patch Dataset. [paper] [dataset] [code] [video]

Xinda Wang**, Shu Wang**, Pengbin Feng, Kun Sun, and Sushil Jajodia.

IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2021.

• A Machine Learning Approach to Classify Security Patches into Vulnerability Types. [paper] [dataset]

Xinda Wang, Shu Wang, Kun Sun, Archer Batcheller, and Sushil Jajodia. 

IEEE Conference on Communications and Network Security (CNS), 2020. 

(Best Paper Award Nomination)

• Detecting "0-Day" Vulnerability: An Empirical Study of Secret Security Patch in OSS. [paper] [dataset] [code] 

Xinda Wang, Kun Sun, Archer Batcheller, and Sushil Jajodia.

IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2019.

• An Empirical Study of Secret Security Patch in Open Source Software. [paper]

Xinda Wang, Kun Sun, Archer Batcheller, and Sushil Jajodia.

Adaptive Autonomous Secure Cyber Systems (pp. 269-289). Springer, Cham, 2020.

Teaching

UT Dallas

• Fall 2024: CS 6301 - Secure Software Development

• Spring 2024: CS/SE 4347 - Database Systems

• Fall 2023: CS 6301 - AI and Software Security

George Mason University

• Spring 2023: AIT 681 - Secure Software Engineering (Guest Lecturer)

• Fall 2022: AIT 682 - Network and Systems Security (Guest Lecturer)

• Summer & Fall 2021: Montgomery Blair High School Magnet Senior Research Program (Mentor)

• Spring 2019: AIT 690 - Theory & Models for Cyber Situational Awareness (Guest Lecturer)

• Fall 2017 & Spring 2018: IT 293 - Applied Information Technology (Teaching Assistant)

Academic Services

• Organizing Committee: CCS 2024

• Program Committee: Usenix Security 2025, S&P 2025, RAID 2024, DSN 2024-2025, AsiaCCS 2024-2025, ICDCS 2024, NDSS-MADWeb 2024

• Artifact Evaluation Committee: ACSAC 2019-2022

• Journal Reviewer: IEEE Transactions on Information Forensics and Security (TIFS), IEEE Transactions on Dependable and Secure Computing (TDSC), Computer & Security, Journal of Banking and Financial Technology, International Journal of Information Security

Honors & Awards

• GHC Faculty Scholarship (2023)

• CSIS Outstanding PhD Dissertation Award (2023)

• IEEE S&P Student Travel Grant (2023)

• GHC Student Scholarship (2022)

• Tapia Scholarship (2022, 2018)

• IEEE MILCOM Student Travel Grant (2021)

• IEEE CNS Best Paper Award Nomination (2020)

• IMC Suneeth Nayak Scholarship (2020)

• Top Winning Award of IEEE SERVICES Hackathon (2020)

• IEEE DSN Student Travel Award (2019)

• Outstanding Graduate Award of Harbin Institute of Technology (2017)

• Outstanding Undergraduate Student of Heilongjiang Province (2016)

• Nubia Scholarship (2016)

• Huawei Technologies Scholarship (2015)

• Fuji Xerox Scholarship (2014)