AI, ML & Data Science 21/November/2023 Detecting bugs in source code with AI Explore one of the techniques for detecting vulnerabilities through Functionally-similar yet Inconsistent Code (FICS), using static analysis to identify inconsistencies in code. Learn more about its customized representation and hierarchical clustering, revealing advantages, results, and potential improvements
AI, ML & Data Science 15/March/2023 Threats to Machine Learning-based Systems – Part 1 of 5 Risks and Vulnerabilities Introduced by Machine Learning
Software Security 09/December/2022 A Study on C Integers From January up until August 2022, MITRE has already registered 96 CVEs (common vulnerabilities and exposures) involving integers. Therefore, this is a subject that requires attention
AI, ML & Data Science 21/November/2023 Detecting bugs in source code with AI Explore one of the techniques for detecting vulnerabilities through Functionally-similar yet Inconsistent Code (FICS), using static analysis to identify inconsistencies in code. Learn more about its customized representation and hierarchical clustering, revealing advantages, results, and potential improvements
AI, ML & Data Science 15/March/2023 Threats to Machine Learning-based Systems – Part 1 of 5 Risks and Vulnerabilities Introduced by Machine Learning
Software Security 09/December/2022 A Study on C Integers From January up until August 2022, MITRE has already registered 96 CVEs (common vulnerabilities and exposures) involving integers. Therefore, this is a subject that requires attention
