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---
startdate:2021-09-26
starttime:"14:00"
endtime:"17:30"
linktitle:"AdversarialNoise"
title:"AdversarialNoise"
price:"tipjar"
series:"adversarial-noise"
eventtype:"Workshop"
location:"HSBXL"
image:"javierlloret.jpeg"
hackeragenda:"true"
---
## Topic
Javier Lloret is a researcher, media artist and engineer based in Amsterdam.
He is conducting research on the vulnerabilities of AI-based Computer Vision systems to Adversarial Attacks. The project is subsidized by the Dutch funds Stimuleringfonds for Digital Culture. Here there is a short description available (in Dutch):
This workshop about Artificial Intelligence (AI) and its weakness to ‘Adversarial Attacks’ will tackle ways AI vision can be misled by adding visual noise to images, leading to malfunctions in the system. Javier will give an introduction to Adversarial Attacks applied to images and we will explore code examples that implement different adversarial techniques. This workshop will also propose a space for dialogue and discussion around the subject.
## Constraints
The workshop is limited to around 8 active participants. Mail to contact@hsbxl.be if you want to join.
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---
startdate:2021-09-26
starttime:"14:00"
endtime:"17:30"
linktitle:"AdversarialNoise"
title:"AdversarialNoise"
price:"tipjar"
series:"ai"
linktitle:"AdversarialNoisePage"
title:"AdversarialNoisePage"
series:"adversarial-noise"
eventtype:"Workshop"
location:"HSBXL"
image:"javierlloret.jpeg"
hackeragenda:"true"
---
Javier Lloret is a researcher, media artist and engineer based in Amsterdam.
He is conducting research on the vulnerabilities of AI-based Computer Vision systems to Adversarial Attacks. The project is subsidized by the Dutch funds Stimuleringfonds for Digital Culture. Here there is a short description available (in Dutch):
This workshop about Artificial Intelligence (AI) and its weakness to ‘Adversarial Attacks’ will tackle ways AI vision can be misled by adding visual noise to images, leading to malfunctions in the system. Javier will give an introduction to Adversarial Attacks applied to images and we will explore code examples that implement different adversarial techniques. This workshop will also propose a space for dialogue and discussion around the subject.
