AI Coding Workshop

About the workshop

Federated Learning is an evolving Machine Learning technique that allows several parties to collaboratively train Deep Neural Networks without sharing their data. The workshop will focus on the security and privacy of Federated Learning and how adversaries can be defeated that attempt to inject a backdoor into the resulting Deep Neural Network.

Plattform Lernende Systeme, Systems Security Lab and IBM Watson Center invite you to a common AI Coding Workshop in Munich. You’re a Bachelor’s or Master’s student or a Young Professional eager to learn more about AI and Machine Learning? Apply now for our AI Coding Workshop!

15th of February 2024
10:00 – 18:30
IBM Watson Center | Innovation Studio | Mies-van-der-Rohe-Straße 6 | 80807 Munich

Requirements:
Besides basic programming skills in any imperative programming language, you only need to bring a passion for computer science and security aspects.

This AI Coding Workshop is designed for Bachelor's and Master's students, PhD-Candidates and Young Professionals.

Bildergalerie

Tüfteln, sichern, hacken: Bei der Coding Challenge mussten die Teilnehmenden sowohl KI-Systeme gegen Angriffe absichern als auch selbst Angriffe starten. © Plattform Lernende Systeme

Phillip Rieger (li.) und Alessandro Pegoraro (2.v.r.) vom Systems Security Lab der TU Darmstadt mit Challenge-Gewinnerin Sabrina Gross (3.v.re.) und den Platzierten Niklas Kopp, Marco Rubin und Cuong Le (v.l.n.r.) © Plattform Lernende Systeme