Adversarial Attacks and Defenses. The Dimpled Manifold Hypothesis. David Stutz from DeepMind #HLF23

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🎙️ Interview with David Stutz from Google DeepMind at the 10th HLF. We spoke about adversarial attacks and defenses for neural networks and about hypotheses that aim to explain their existence.

I attended the last year’s HLF as a young researcher and this year as a press member. The best things for me at the HLF remain the lengthy coffee breaks and social events at incredible locations such as the boat on the Neckar River on which we were at the interview which you’ve just seen on this video! I hope you found this discussion with David Stutz about adversarial attacks and defences as interesting as Ms. Coffee Bean did.

Thanks to our Patrons who support us in Tier 2, 3, 4: 🙏
Dres. Trost GbR, Siltax, Vignesh Valliappan, Mutual Information, Kshitij

Outline:
00:00 What are adversarial attacks on Neural Networks?
01:20 Research on adversarial attacks is easier to publish than Defenses!?
05:07 The Dimpled Manifold Hypothesis
08:05 Why else do adversarial examples exist?
11:00 Where was this interview taken? About the HLF.

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🔥 Optionally, pay us a coffee to help with our Coffee Bean production! ☕
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🔗 Links:

#AICoffeeBreak #MsCoffeeBean #MachineLearning #AI #research
Music 🎵 : Boom Bap Flick – Quincas Moreira

Video editing: Nils Trost

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Комментарии

Thank you for introducing me to this fascinating concept. I really appreciate it!

광광이-it

Super interesting stuff! Are there more interviews coming soon?

DerPylz

just tell U'r computer if it can't be any more trustworthy, then it will halft 2 go back to the apple orchard! fractals !cheers... very beautiful, but I don't see October! the computer missed this!
best regards!

Jibs-HappyDesigns-

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