Seminar: Machine-Learning For Security Analysis: Opportunities and Challenges
8th Jan 2019 3:10pm-4:00pm
Presenter/Speaker: Paddy Krishnan, Oracle
Machine learning (ML) is widely being used worldwide to solve problems in many areas including image recognition, natural language processing, anomaly detection, and more. Its success has also resulted in a lot of hype. While there is no doubt that many of ML techniques are very sophisticated, there are a number of challenges remaining.
In this talk I will summarise our work on using ML in the area of vulnerability detection using off-the-shelf ML techniques. I will compare results from the ML approach to those from static program analysis techniques. Labelled data used in this work comes from our earlier static analysis work. I will point to challenges and open questions that remain open in order for ML techniques to be useful for security analysis purposes, in a reliable way.