39 citations · 135 across the 12 of their papers we have counts for
4 papers · 1 filter
Detecting Stealthy Data Poisoning Attacks in AI Code Generators
Cristina Improta
Deep learning (DL) models for natural language-to-code generation have become integral to modern software development pipelines. However, their heavy reliance on large amounts of d…
Poisoning Programs by Un-Repairing Code: Security Concerns of AI-generated Code
Cristina Improta
AI-based code generators have gained a fundamental role in assisting developers in writing software starting from natural language (NL). However, since these large language models…
AI Code Generators for Security: Friend or Foe?
Roberto Natella, Pietro Liguori, Cristina Improta +2
Recent advances of artificial intelligence (AI) code generators are opening new opportunities in software security research, including misuse by malicious actors. We review use cas…
Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks
Domenico Cotroneo, Cristina Improta, Pietro Liguori +1
AI-based code generators have become pivotal in assisting developers in writing software starting from natural language (NL). However, they are trained on large amounts of data, of…