activity
20192024
most citedCodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models

6 citations · 9 across the 5 of their papers we have counts for

collaborators
Showing cs.CRShow all

2 papers · 1 filter

cs.CR2024★ 1 cited

HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data

Hossein Hajipour, Lea Schönherr, Thorsten Holz +1

Large language models (LLMs) have shown great potential for automatic code generation and form the basis for various tools such as GitHub Copilot. However, recent studies highlight…

cs.CR2023★ 6 cited

CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models

Hossein Hajipour, Keno Hassler, Thorsten Holz +2

Large language models (LLMs) for automatic code generation have achieved breakthroughs in several programming tasks. Their advances in competition-level programming problems have m…