Everything You Wanted to Know about LLM-Based Vulnerability Detection but Were Afraid to Ask

Large Language Models are a promising tool for automated vulnerability detection, thanks to their success in code generation and repair. However, despite widespread adoption, a critical question remains: Are LLMs truly effective at detecting real-world vulnerabilities? Current evaluations, which...

Benchmarking Differentially Private Tabular Data Synthesis

Differentially private DP tabular data synthesis generates artificial data that preserves the statistical properties of private data while safeguarding individual privacy. The emergence of diverse algorithms in recent years has introduced challenges in practical applications, such as inconsistent...

Android Security Evaluation Framework: ASEF

Have you ever looked at your Android applications and wondered if they are watching you as well? Whether it’s a bandwidth-hogging app, aggressive adware or even malware, it would be interesting to know if they are doing more than what they are supposed to and if your personal information is...