Private AI Roundtable on November 4, 2021

On November 4th there was a Private AI Roundtable with the following pitch talks:

Phillip Rieger, Technical University of Darmstadt
Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

Florian Kerschbaum, University of Waterloo
Is Differential Privacy what you want to protect privacy in ML?

Adam Dziedzic, University of Toronto
CaPC: from proof-of-concept to real-world applications
Slides here

Mojan Javaheripi, UC San Diego
Defending against fault injection attacks on DNNs.

Saurav Prakash, USC
How to detect adversaries in FL without breaching privacy?