6 citations · 9 across the 5 of their papers we have counts for
5 papers
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…
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…
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models
Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu +1
Large code datasets have become increasingly accessible for pre-training source code models. However, for the fine-tuning phase, obtaining representative training data that fully c…
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis
Hossein Hajipour, Mateusz Malinowski, Mario Fritz
In this work, we investigate the problem of revealing the functionality of a black-box agent. Notably, we are interested in the interpretable and formal description of the behavior…
SampleFix: Learning to Generate Functionally Diverse Fixes
Hossein Hajipour, Apratim Bhattacharyya, Cristian-Alexandru Staicu +1
Automatic program repair holds the potential of dramatically improving the productivity of programmers during the software development process and correctness of software in genera…