CALL FOR PAPERS
3rd Workshop on Artificial Intelligence for Secure Software and Systems (AI-SSS 2026)

The 3rd Workshop on Artificial Intelligence for Secure Software and Systems (AI-SSS 2026) will be co-located with the 19th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2026) and the 13th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2026).

📍 Location: Florianópolis, Santa Catarina, Brazil
📅 Dates: December 1–4, 2026
📝 Paper Submission Deadline: September 20, 2026
SUBMISSION LINK

EasyChair: https://easychair.org/account/signin?l=675805097497287910.1785896088.9c151d20

SCOPE

Artificial Intelligence (AI) is transforming the way software and computing systems are designed, developed, deployed, and secured. At the same time, the rapid evolution of cyber threats, software vulnerabilities, supply-chain attacks, adversarial machine learning, and increasingly complex software ecosystems has created new challenges for researchers and practitioners.

The Artificial Intelligence for Secure Software and Systems (AI-SSS 2026) workshop aims to bring together researchers, practitioners, and industry experts to explore the latest advances, challenges, and opportunities at the intersection of Artificial Intelligence, software engineering, cybersecurity, and secure computing systems.

The workshop provides a forum for presenting innovative research, emerging approaches, practical experiences, tools, case studies, and novel perspectives on applying AI to improve the security, reliability, resilience, and trustworthiness of software and systems, as well as addressing security and safety challenges introduced by AI-enabled technologies.

We invite high-quality submissions presenting original research and innovative approaches related to Artificial Intelligence for Secure Software and Systems.

TOPICS OF INTEREST

Topics of interest include, but are not limited to:

Machine learning for threat detection, prevention, and response
AI-driven security analytics for software repositories
AI-based techniques for software quality, reliability, and security
Generative AI for secure software development
Large Language Models (LLMs) for cybersecurity and software security
AI-assisted secure coding and vulnerability remediation
AI-powered security testing, fuzzing, and vulnerability discovery
Automated security analysis of source code, binaries, and software artifacts
AI for malware analysis and detection
AI for intrusion detection and prevention
Adversarial machine learning and robust AI systems
Security and privacy of AI-enabled software systems
Secure AI deployment in software and computing systems
Privacy-preserving AI techniques for software and systems
Trustworthy, explainable, and responsible AI for cybersecurity
AI security, safety, and robustness
Software supply-chain security and AI
AI-driven software security risk assessment and management
Secure software development methodologies and DevSecOps
Security engineering processes, from requirements to maintenance
Automated security analysis of protocols, source code, and binaries
Formal verification and high-assurance methods for secure AI and software
Fault tolerance and resilience for secure software systems
Secure and reliable distributed systems
Secure and reliable storage systems
Metrics, measurements, and empirical analysis of software security
Risk management and testing strategies for secure software
Software ecosystem security
Emerging threats and challenges in AI-enabled software systems
SUBMISSIONS

Submissions to AI-SSS 2026 are solicited from researchers, practitioners, and industry professionals.

Each submission will be reviewed by members of a strong international Program Committee. We welcome original contributions presenting novel research results, innovative methodologies, practical experiences, tools, case studies, and emerging perspectives relevant to the workshop.

Submission instructions, paper formatting requirements, page limits, and publication information will be provided on the workshop website.