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What and Who
Title:The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security
Speaker:Mario Fritz
coming from:CISPA
Speakers Bio:
Event Type:Joint Lecture Series
Visibility:D1, D2, D3, INET, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Language:English
Date, Time and Location
Date:Wednesday, 3 July 2019
Time:12:15
Duration:60 Minutes
Location:Saarbrücken
Building:E1 5
Room:002
Abstract
Today, vast amounts of visual information is collected and often also shared online. Such images and videos can contain various types of privacy-sensitive information that can nowadays be extracted automatically at a large scale, posing a steadily growing threat to users' privacy. I'll give an overview of our efforts towards understanding and controlling privacy in visual information as well as working towards our overall vision of a Visual Privacy Advisor.

More generally speaking, we have seen a quick adoption of machine learning technology in a broad range of application scenarios. With such broad deployment, these approaches become part of the attack surface of modern IT infrastructures and therefore new privacy and security risks emerge. Hence, we research attack vectors and defenses of such intelligent systems built on AI and machine learning technology. In particular, I will talk about our latest work on membership inference and model stealing.

Contact
Name(s):Jennifer Müller
Phone:2900
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
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Created:
Jennifer Müller/MPI-INF, 02/27/2019 02:29 PM
Last modified:
Uwe Brahm/MPII/DE, 07/03/2019 07:01 AM
  • Jennifer Müller, 06/28/2019 10:53 AM
  • Jennifer Müller, 02/27/2019 02:30 PM -- Created document.