Machine Learning and Security
Intelligent Security Systems and Attack-Resilient Machine Learning
The research group led by Prof. Dr. Konrad Rieck conducts fundamental research at the intersection of computer security and machine learning. On the one end, we are interested in developing intelligent systems that can learn to protect computers from attacks and identify security problems automatically. On the other end, we explore the security and privacy of machine learning by developing novel attacks and defenses.
Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting
Battle of Wits: To What Extent Can Fraudsters Disguise Their Tracks in International Bypass Fraud?
I still know it's you! On Challenges in Anonymizing Source Code
TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Researcher Spotlight: Dr. Alexander Warnecke
Congratulations to Dr. Alexander Warnecke who succesfully defended his PhD "Security Viewpoints on Explainable Machine Learning" on April 16, 2024.
Project Launch AIgenCY
With the innovative research project "AIgenCY - Opportunities and Risks of Generative AI in Cybersecurity," leading experts from academia and industry take on the challenge of exploring the implications of generative artificial intelligence (AI) for cybersecurity.
Photo recap: BIFOLD New Year's reception
At its New Year's reception BIFOLD welcomed a series of distinguished guests and friends from Berlin's AI community.
Research Group Lead
Doctoral Researcher
Secretary MLSEC & DAMS
Doctoral Researcher
Doctoral Researcher
Postdoctoral Researcher