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Seminar: Machine-Learning For Security Analysis: Opportunities and Challenges

8th Jan 2019 3:10pm-4:00pm
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.

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