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What and Who

The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security

Mario Fritz
CISPA
Joint Lecture Series
AG 1, AG 2, AG 3, INET, AG 4, AG 5, SWS, RG1, MMCI  
Public Audience
English

Date, Time and Location

Wednesday, 3 July 2019
12:15
60 Minutes
E1 5
002
Saarbrücken

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

Jennifer Müller
2900
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Jennifer Müller, 06/28/2019 10:53
Jennifer Müller, 02/27/2019 14:30 -- Created document.