Training Description
Key Takeaways
- Focuses on data-driven and intelligent approaches to software security
- Explores AI, machine learning, and large-scale data analytics for security
- Brings together researchers and practitioners in software security
- Covers topics such as vulnerability detection, automated testing, and empirical research
- Targets professionals in software engineering, cybersecurity, and AI
The 3rd IEEE Workshop on Data-driven and Intelligent Software Security (DISS 2026) is an academic and technical event co-located with the IEEE Symposium on Security and Privacy. This workshop is dedicated to advancing the field of software security by leveraging data-driven and intelligent methodologies. It serves as a platform for knowledge exchange, collaboration, and discussion among experts and professionals in the intersection of software engineering, cybersecurity, and artificial intelligence.
Advancing Software Security Through Data and Intelligence
DISS 2026 emphasizes the importance of integrating data-driven techniques and intelligent systems into software security practices. The workshop highlights the use of machine learning, artificial intelligence, and large-scale data analytics to address modern security challenges. Participants will explore how these technologies can enhance vulnerability detection, automate security testing, and provide actionable insights from software repositories.
By focusing on empirical studies and real-world applications, the event encourages the development of innovative solutions that bridge the gap between traditional software engineering and emerging security needs. Attendees will gain exposure to the latest research and practical advancements in the field.
Core Topics and Themes
The workshop covers a broad range of subjects, including data-driven security analysis, intelligent vulnerability detection, and automated software security testing. Additional areas of interest include AI/ML applications for software security, mining software repositories for security insights, and empirical research on software security practices.
Special attention is given to topics such as adversarial machine learning, explainable AI for security, and the intersection of software engineering and security. These discussions aim to foster a deeper understanding of how advanced technologies can be harnessed to improve software security outcomes.
Audience and Experience
DISS 2026 is designed for academic researchers, industry practitioners, security engineers, software developers, data scientists, and graduate students. The event provides a collaborative environment for sharing knowledge, discussing challenges, and networking with peers who are passionate about advancing software security through innovative, data-driven methods.
With a focus on education, thought leadership, and community building, the workshop offers paper presentations, interactive sessions, and in-depth discussions. Attendees will leave with a stronger understanding of current trends and future directions in intelligent software security.