It takes 3 pixels to make the seeing blind
- Datum
- 11.07.2019
- Zeit
- 14:30 - 16:00
- Sprecher
- Dr. Peter Steinbach
- Zugehörigkeit
- Max Planck Institute of Molecular Cell Biology and Genetics
- Serie
- IMB - Seminar
- Sprache
- en
- Hauptthema
- Biologie
- Andere Themen
- Medizin
- Host
- IMB
- Beschreibung
- Deep Learning based image classification has become ubiquitous in many fields. However, industrial and academic stakeholders have found ways to trick a trained network in order to force a deliberate misclassification. The adversarial examples created by these methods are in-distinguishable by eye sight from their originals and yet cause standard deep learning networks to misclassify the input. This is called an adversarial attack. In this talk, I'll introduce adversarial attacks in the field of medical imaging. I will discuss the nomenclature and mathematical tricks behind the scenes. Finally, I will show results of a black-box attack on a image classification model that was trained to differentiate healthy from sick humans with Diabetic Retinopathy based on an open dataset. The talk is concluded with a discussion of why adversarial examples exist.
Letztmalig verändert: 03.06.2019, 12:07:15
Veranstaltungsort
Institut für Medizinische Informatik und Biometrie (IMB) (Haus 105, Blasewitzer Straße 86, 3rd floor, room 3.465)Blasewitzer Straße8601307Dresden
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- http://tu-dresden.de/die_tu_dresden/fakultaeten/medizinische_fakultaet/inst/imb
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IMBMedizinsche Fakultät Carl Gustav Carus der TU Dresden, Fetscherstr.7401307Dresden
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- +49 351 3177 133
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- +49 351 3177 225
- IMB
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- http://tu-dresden.de/die_tu_dresden/fakultaeten/medizinische_fakultaet/inst/imb
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