Seminar: Machine-Learning For Security Analysis: Opportunities and Challenges
8 Jan 2019 3:10 PM - 4:00 PM
Presenter/Speaker: Paddy Krishnan, Oracle
Location: G.1.15
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.