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.
Prompt Obfuscation for Large Language Models
Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting
Machine Learning Backdoors in Hardware
So-called backdoor attacks pose a serioues threat to machine learning, as they can compromise the integrity of security-critical AI systems, such as those used in autonomous driving or healthcare.
Learning from the Best
Dr. Anne Josiane Kouam is researching mobile security and privacy at BIFOLD. She's been selected as one of 200 promising young mathematicians and computer scientists to spend a week with leading experts in the field.
BIFOLD researchers present four papers at ASIACCS 2024
The 19th ACM ASIA Conference on Computer and Communications Security (ASIACCS 2024) will take place in Singapore from July 1 to July 5, 2024. The conference will focus on specific areas of computer science, such as information security and information privacy.
Research Group Lead
Doctoral Researcher
Secretary MLSEC & DAMS
Doctoral Researcher
Doctoral Researcher
Postdoctoral Researcher