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Private AI Institute Roundtable

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?

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CyberSec&AI Connected 2021

Join the CyberSec&AI Connected 2021
November 4 – 5, 2021 | Online

The annual international conference for AI, machine learning, and cybersecurity experts from academia and industry hosted by Avast, The Private AI Collaborative Research Institute and the Czech Technical University in Prague AI Center FEE CTU.

The international conference focus on AI for online privacy protection and security. As technology evolves, new opportunities, challenges, and ethical dilemmas constantly present themselves to those working and researching at the intersection of AI and cybersecurity.

Find more information on the CyberSec&AI Connected website.
You can register here.

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Retreat, January 26 and 27 2021

Retreat, January 26 and 27 2021

The first retreat of the Private AI Institute was a great success: More than 80 participants, lively talks and discussions in which participating PIs and industry partners developed a mutual understanding of the collaborative research, explored opportunities for scientific as well as technical collaboration and discussed future directions.

Sessions and Talks

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