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We are looking for two Postdoctoral Research Fellows to work on the project “User discrimination on the Web: measurement, causation and prevention”

https://team.inria.fr/indes/2-postdo...iscrimination/


With the first Postdoc, we shall be investigating how machine learning techniques can be used to automatically identify discriminating features of the web user’s profile. For instance, one goal is to implement automatic user profiles using a deterministic or probabilistic generator, and automatically classify the response signal of a set of Web sites. We will then use crowd-sourcing measurements to collect the user data and build a browser extension that will be used as a prototype to validate the accuracy of the techniques.

With the second Postdoc, we shall be analyzing how web tracking affects user discrimination. For this, we will be developing solutions against persistent web tracking techniques, such as cookie and pixel tracking, cookie stealing via Javascript, and Web browser fingerprinting. We will then analyze how web tracking protection influences user discrimination by incorporating these mechanisms in the browser extension developed by the first Postdoc.

The successful candidate will have a PhD in internet measurement, online privacy, web technologies, or a related discipline, and should have international publications in top conferences in these fields (Usenix Security, ACM CCS, IEEE S&P, ACM IMC, WWW, etc.)

You will work with Nataliia Bielova and Arnaud Legout as a part of INDES and DIANA teams at Inria, Sophia Antipolis, France.

Don't hesitate to contact us informally to discuss this position.

Nataliia and Arnaud.

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Arnaud Legout, Ph.D.
Research Scientist, Inria
http://www-sop.inria.fr/members/Arnaud.Legout/