Securing Machine Learning: Identifying and Mitigating Emerging Threats

Infos

Start: 2024-11-09 09:00
End: 2024-11-09 13:00
Location: Lothstraße 64, 80335 München

Abstract

In our workshop, we would like to show you and explain the emerging dangers of machine learning. Together we will develop a threat model to improve the security of your machine learning applications.

Michael Helwig

Michael is a cybersecurity strategist and expert working on a wide range of product and cybersecurity topics with a background in secure software development. He is the co-founder of a security consulting firm that helps clients across industries implement product security programs, adopt DevSecOps, and achieve compliance with various standards. He believes that people and communication are at least as important and effective in moving organizations forward as tools and technology.

 

Benjamin Altmiks

Initially specializing in cyber security, I have devoted myself more and more to the field of machine learning in recent years. Last year, I combined the two for the first time and conducted research in the field of penetration testing using reinforcement learning. Now I am looking for new ways to integrate machine learning in the most diverse areas of cyber security.