Syafiq

About

Hi! My name is Syafiq Al Atiiq. I obtained my PhD from Lund University in 2025, under the supervision of Christian Gehrmann, funded by the Swedish Foundation for Strategic Research (SSF). My dissertation is available online. My current research interests lie at the intersection of Software Security, Vulnerability Analysis, and Machine Learning.

Currently, I am a postdoc at Lund University and building VyPr AI, the next-generation vulnerability detection system.

How to reach me? Email, LinkedIn, Twitter.

Teaching

I am was a teaching assistant to the following courses:

• Computer Security (EITA25) -> project module
• Secure Systems Engineering (EITP20) -> penetration testing module

Publications

• Catching Common Vulnerabilities with Code Language Models - SECDEV ‘25
• Resilient automatic model selection for mobility prediction - Cluster Computing
• Vulnerability Detection in Popular Programming Languages with Language Models - ArXiv
• From Generalist to Specialist: Exploring CWE-Specific Vulnerability Detection - ArXiv
• Demystifying AMD SEV Performance Penalty for NFV Deployment - ICNCC ‘24
• Regaining Dominance in CIDER and Lazarus - IEEE Access
• AutoML in the Face of Adversity: Securing Mobility Predictions in NWDAF - FMEC ‘24
• Attack Against Mobility Prediction in 5G Networks - TrustCom ‘23
• X-Pro: Distributed XDP Proxies Against Botnets of Things - Nordsec ‘21
• CLI-DOS: Collaborative Counteraction against Denial of Service in the Internet of Things - Percom SPT-IoT ‘20
• SARDOS: Self-Adaptive Reaction Against Denial of Service in the Internet of Things - IoTSMS ‘18 (Best Paper Award)