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Huang Xiao

Huang Xiao

Alumni

E-Mail:
now at Fraunhofer AISEC

 

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