RISE Lab@ASU

Dr. Xusheng Xiao leads the Reliable, Intelligent, Secure, and Efficient (RISE) Software and System Lab at Arizona State University. His research lies at the intersection of software engineering, cybersecurity, and artificial intelligence, with a focus on developing AI-driven software and system analysis techniques that synergistically combine program analysis and foundation models to improve the reliability, security, and trustworthiness of modern software systems.

Research Areas

AI for Software Engineering and Program Analysis
LLM-Powered Cybersecurity, Fraud, and Deception Analysis
Cyber Threat Detection, Investigation, and Attribution
Automated Vulnerability Discovery, Repair, and Software Assurance
Mobile and Android Ecosystem Security
Blockchain and Smart Contract Security

His research in cyber threat investigation has been integrated into a security product at NEC, which received the Grand Prix Award at CEATEC 2016. His lab developed HyperService, a pioneering blockchain interoperability platform with programmability and strong security guarantees across heterogeneous blockchains, which was presented at IEEE Blockchain Cleveland and the Blockland Solutions Conference. His research in mobile application security produced a static analysis technique that was deployed by Microsoft Research and resulted in a U.S. patent. Through collaborations with industry partners, his research has also generated 6 U.S. patents.

Positions

I am always looking for PhD students and interns with strong background in SE, Security, or ML. Please apply to ASU SCAI by Dec. 31th (PhD only), and/or send me an email (with your CV). [Read more]

Services

IEEE S&P 2027, CCS 2026, ICSE 2027, FSE 2027

News

6/2026: We are excited to share that our paper “An Empirical Study of Data Access Practice in Android AR Apps to Understand User Privacy Risks” has been accepted in ASE 2026! This work was supported by the NSF project #2318486. Congratulations to the entire team!
1/2026: Congratulations to my student Fei Shao and my collaborators! Our paper “Training-free Counterfactual Explanation for Temporal Graph Model Inference” has been accepted in ICLR 2026!
10/2025: Congratulations to my student Fei Shao and my collaborators! Our paper “ProGQL: A Provenance Graph Query System for Cyber Attack Investigation” has been accepted in ICDE 2026!
9/2025: Congratulations to my student Zichen Liu! Our paper “AppBDS: LLM-Powered Description Synthesis for Sensitive Behaviors in Mobile Apps” has been accepted in ASE 2025!
8/2025: Congratulations to my student Shang Ma and my collaborators! Our paper “PsyScam: A Benchmark for Psychological Techniques in Real-World Scams” has been accepted in EMNLP 2025!
8/2025: We have received API credits from the OpenAI Cybersecurity Grant Program! Thank you, OpenAI!
7/2025: We have received a grant from TensorBlock to support our collaboration on Forge! What an exciting product to unify the access to various LLMs!
1/2025: Congratulations to my collaborators! Our paper “Privacy and Accuracy-Aware AI/ML Model Deduplication” has been accepted to SIGMOD 2025!
8/2024: Congratulations to my student Shang Ma and my collaborators! Our paper “Careful About What App Promotion Ads Recommend! Detecting and Explaining Malware Promotion via App Promotion Graph” has been accepted in NDSS 2025!
7/2024: Our application for the OpenAI Researcher Access Program has been accepted! Thank you, OpenAI!
7/2024: Congratulations to my student Liangyi Huang! Our paper “CTIKG: LLM-Powered Knowledge Graph Construction from Cyber Threat Intelligence” has been accepted in COLM 2024! Check out our project website for more details!
6/2024: Congratulations to my student Pengcheng Fang and my collaborators! Our paper “vFix: Facilitating Software Maintenance of Smart Contracts via Automatically Fixing Vulnerabilities” has been accepted in ICSME 2024! Check out our project website for more details!
5/2024: Congratulations to my student Shang Ma and my collaborators! Our paper “Completing the App Promotion Graph with Symbolic Prompting” has been accepted in ECML PKDD 2024!
More…

Biography

Xusheng Xiao is an Associate Professor in the School of Computing and Augmented Intelligence at Arizona State University. He got his Ph.D. in June 2014 from the Department of Computer Science at North Carolina State University, under the supervision of Prof. Tao Xie and Prof. Laurie Williams. From Feb 2017 to August 2022, he was an Assistant Professor in the Department of Computer and Data Sciences at Case Western Reserve University (CWRU). From July 2014 to Feb 2017, he worked as a researcher in the system security group at NEC Labs America. He is a recipient of NSF CAREER Award, NSF CRII Award, Samsung GRO Award, and the 2021 Case School of Engineering Faculty Research Award at CWRU. His research has been supported by NSF, DOE-ARPA-E, and Samsung.