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X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Learning\, reasoning and optimisation: Adversarial robustness 
 of neural networks - Holger Hoos\, Alexander von Humboldt professorship\, 
 RWTH Aachen University
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TZID:America/Vancouver
TZUNTIL:20270314T100000Z
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DTSTART:20241103T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20251102T020000
RDATE:20261101T020000
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DTSTAMP:20260416T082106Z
CLASS:PUBLIC
CREATED:20250908T230732Z
DESCRIPTION:Abstract: Over the last decade\, machine learning methods\, not
 ably neural networks\, have played a key role in enabling major progress i
 n artificial intelligence and its applications. Unfortunately\, despite th
 eir excellent performance in many use cases\, neural networks have been sh
 own to be sensitive to input perturbations\, including adversarial attacks
 . In this presentation\, I will give an introduction to neural network rob
 ustness and explain how work in this area effectively combines AI methods 
 from machine learning\, optimisation and automated reasoning. I will expla
 in the concept of…
DTSTART;TZID=America/Vancouver:20250911T120000
DTEND;TZID=America/Vancouver:20250911T130000
LAST-MODIFIED:20250909T174358Z
LOCATION:UBC Vancouver Campus\, ICCS X836
SUMMARY:Learning\, reasoning and optimisation: Adversarial robustness of ne
 ural networks - Holger Hoos\, Alexander von Humboldt professorship\, RWTH 
 Aachen University
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/learning-reasoning-and-optimisation-adversar
 ial-robustness-neural-networks-holger-hoos
END:VEVENT
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