Andreas Pfadler
Last known affiliation: Alibaba Group
Bio: Andreas works as a Senior Algorithm Engineer at the Data Analytics and Intelligence Lab of Alibaba’s Damo Academy where his research focuses on the intersection of ML, systems, databases and graphs. Before that he served as the Head of the Perception Computing Lab at Talking Data, Beijing. In a previous life he worked as consultant and managing consultant specializing in risk management, front office technology and quantitative development for financial institutions. He holds a PhD and Diploma in mathematics and an MSc in financial mathematics.
Date: 2022-04-28
Detecting emerging malware on cloud before VirusTotal can see it
Anastasia Poliakova 🗣 | Andreas Pfadler 🗣 | Yuriy Yuzifovich | Ali Fakeri-Tabrizi | Gan Feng | Hongliang Liu | Thanh Nguyen
Anastasia Poliakova 🗣 | Andreas Pfadler 🗣 | Yuriy Yuzifovich | Ali Fakeri-Tabrizi | Gan Feng | Hongliang Liu | Thanh Nguyen
Abstract (click to view)
In this session, we will present our approach for detecting newly emerging malware on a cloud platform and predicting its behavior, and doing so before VirusTotal or any other 3rd party detection engine can report it.
We will specifically describe our methodology for detecting emerging malware and predicting its behavior by combining an anomaly detection engine (we refer to as ‘GAD’ – General Anomaly Detection system), and a graph pattern-learning machine.
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