Call for papers, Reliable and Secure AI-based Code Generators
Artificial Intelligence (AI) has revolutionized various aspects of software development, including the generation of programming source code. AI-based code generators have shown tremendous potential in automating software development tasks and improving developer productivity. However, ensuring the reliability and security of AI-generated code remains a critical challenge. This special issue aims to bring together the latest research and advancements in the field of AI-based code generation, with a specific focus on reliability and security concerns. It seeks to explore innovative techniques, methodologies, and case studies addressing the challenges of ensuring trustworthy and secure AI-generated code.
Topics for this special edition will include (but not limited to):
- Robustness and correctness assessment of AI-based code generators
- Verification and validation techniques for AI-generated code
- Testing and debugging approaches for AI-generated code
- Security vulnerabilities in AI-generated code
- Adversarial attacks and defenses in AI-generated code
- Ethical Considerations and Responsible AI Practices in code generation
- Explainability and interpretability of AI-based code generators
- Case studies and real-world applications of AI-based code generators
- Comparative analysis of different AI-based code generation approaches
- Integration of AI-generated code with existing code bases
- Data Quality and Bias
- Evaluation Approaches and Benchmarks for AI-generated Code
- Security Threats and Countermeasures
- Secure Model Training
- Authentication and Access Control
- Compliance and Regulatory Requirements
- Open issues, practical experiences, and real-world case studies
- Secure Code Generation and Program Synthesis
- AI-Code Assistants
- Secure Program Repair
- Learning from Human Feedback
Deadline
March 31, 2024
How to Submit
Open call.
Editor
Pietro Liguori, pietro.liguori@unina.it <== contact person
Erfan Al-Hossami