On November 4th there was a Private AI Roundtable with the following pitch talks:
Phillip Rieger, Technical University of DarmstadtMitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
Florian Kerschbaum, University of WaterlooIs Differential Privacy what you want to protect privacy in ML?
Adam Dziedzic, University of TorontoCaPC: from proof-of-concept to real-world applicationsSlides here
Mojan Javaheripi, UC San DiegoDefending against fault injection attacks on DNNs.
Saurav Prakash, USCHow to detect adversaries in FL without breaching privacy?