Sicong Cao

Title: Sicong Cao: Innovator in Vulnerability Detection

Introduction: Sicong Cao is a prominent inventor based in Jiangsu, China. He has made significant contributions to the field of cybersecurity through his innovative approaches to vulnerability detection. His work focuses on enhancing the reliability and explainability of vulnerability detection systems.

Latest Patents: Sicong Cao holds a patent for an "Explainable vulnerability detection method and system based on dual-view causal reasoning." This patent outlines a comprehensive method for detecting vulnerabilities in code samples. The process involves obtaining code samples, performing data augmentation, static analysis, and feature extraction to create a training dataset. The method also includes establishing a vulnerability detection model through hybrid contrastive learning and providing explanations for detected vulnerabilities.

Career Highlights: Sicong Cao is affiliated with Yangzhou University, where he contributes to research and development in the field of cybersecurity. His innovative work has garnered attention for its practical applications in enhancing software security.

Collaborations: Sicong Cao collaborates with notable colleagues, including Xiaobing Sun and Wei Liu, who share his commitment to advancing research in vulnerability detection.

Conclusion: Sicong Cao's contributions to the field of vulnerability detection exemplify the importance of innovation in cybersecurity. His work not only addresses current challenges but also paves the way for future advancements in the industry.