Machine learning for source code vulnerability detection: What works and what isn't there yet

T Marjanov, I Pashchenko… - IEEE Security & Privacy, 2022 - ieeexplore.ieee.org
We review machine learning approaches for detecting (and correcting) vulnerabilities in
source code, finding that the biggest challenges ahead involve agreeing to a benchmark …

Machine Learning for Source Code Vulnerability Detection: What Works and What Isn't There Yet

T Marjanov, I Pashchenko, F Massacci - IEEE Security & Privacy, 2022 - computer.org
We review machine learning approaches for detecting (and correcting) vulnerabilities in
source code, finding that the biggest challenges ahead involve agreeing to a benchmark …

Machine Learning for Source Code Vulnerability Detection: What Works and What Isn't There Yet

T Marjanov, I Pashchenko, F Massacci - 2022 - repository.cam.ac.uk
We review machine learning approaches for detecting (and correcting) vulnerabilities in
source code, finding that the biggest challenges ahead involve agreeing to a benchmark …

Machine Learning for Source Code Vulnerability Detection: What Works and What Isn't There Yet

T Marjanov, I Pashchenko, F Massacci - IEEE Security & Privacy, 2022 - dl.acm.org
We review machine learning approaches for detecting (and correcting) vulnerabilities in
source code, finding that the biggest challenges ahead involve agreeing to a benchmark …

Machine Learning for Source Code Vulnerability Detection: What Works and What Isn't There Yet

T Marjanov, I Pashchenko, F Massacci - IEEE Security and Privacy, 2022 - research.vu.nl
We review machine learning approaches for detecting (and correcting) vulnerabilities in
source code, finding that the biggest challenges ahead involve agreeing to a benchmark …

Machine Learning for Source Code Vulnerability Detection: What Works and What Isn't There Yet

T Marjanov, I Pashchenko, F Massacci - IEEE Security & Privacy, 2022 - computer.org
We review machine learning approaches for detecting (and correcting) vulnerabilities in
source code, finding that the biggest challenges ahead involve agreeing to a benchmark …