Huang Xiao

Alumni

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E-Mail: xiaohu@in.tum.de

Research Interests

My research interests include adversarial and secure machine learning, anomaly detection, semi-supervised learning, nonparametric learning. I am generally interested at machine learning and its applicaitons. Now I focus on applying machine learning on cyber security problems.

I am currently working at Fraunhofer AISEC Institute. Check my personal web for more: huangxiao.de

Teaching

SS 2012  Seminar : Machine Learning in Adversarial Environment
SS 2013  Seminar : Machine Learning in Adversarial Environment
WS 2014  Practical Course: Anomaly Detection Challenges (firstly established practical course)
SS 2015

Seminar: Adversarial Machine Learning

SS 2016

Selected Advanced Topics on Cyber Security

  • Applied Machine Learning on Cyber Security: An Overview
  • Adversarial Learning: AI as a New Security Threat







Supervised Student Works

Sami Ghawi.

Spatio-Temporal Anomaly Detection in Mobile Devices.

Master Thesis, Technische Universität München, Oct. 2013.

Heeren Sharma.

Concept Learner for CorMel Transaction Trees in Amadeus Data Processing Systems. 

Master Thesis, Technische Universität München, Mar. 2014.

Aleieldin Salam.

Semantic-based Malware Detection with Hidden Markov Model.

Guided Research, July 2015.

Dieu Linh Tran.

Incremental One-Class Support Vector Machines with Minor Supervised Labels.

Master Thesis, Technische Universität München, Oct. 2015.

Jan Lauinger.

Large Scale Anomaly Detection using Spark.

Bachelor Thesis, Technische Universität München, Aug. 2016 (in progress). 










Publications