The Conference for Machine Learning Innovation

Let’s Talk About Security Issues in Today’s ML Systems

Shorttalk
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until March 5:
✓ML Intro Day for free
✓Save up to 500 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

As machine learning (ML) based approaches continue to achieve great results and their use becomes more widespread, it becomes increasingly more important to examine their behavior in adversarial settings. Unfortunately, ML models have been shown to be vulnerable to so-called adversarial examples, inputs to ML models that are intentionally designed to cause them to malfunction. Despite the ongoing research efforts there is no reliable solution so far, meaning that today’s state of the art learning-based approaches remain vulnerable.

In this talk, we will take a look at things an ML practitioner should know when it comes to security issues in ML systems, with a focus on vulnerabilities at test time.

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Munich Munich , Berlin Berlin or oder Singapore Singapore .

Behind the Tracks