39 citations · 135 across the 12 of their papers we have counts for
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cs.SE2024
Enhancing AI-based Generation of Software Exploits with Contextual Information
Pietro Liguori, Cristina Improta, Roberto Natella +2
This practical experience report explores Neural Machine Translation (NMT) models' capability to generate offensive security code from natural language (NL) descriptions, highlight…
cs.CR2024★ 11 cited
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…
cs.CR2024★ 15 cited
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…