EVENTS

October 05, 2022 | Forum Digitale Technologien, Salzufer 6/Eingang Otto-Dibelius-Str., 10587 Berlin

Forum Digitale Technologien

The Forum Digitale Technologien invites to its annual event 2022. This event is dedicated to the question of how trust in digital infrastructures and AI can be established and what future challenges still exist in this regard.

October 10, 2022 | Virtual

BIFOLD Colloquium 10/10/2022

Measuring Web Cookies in Governmental Websites

In recent years, governments worldwide have moved their services online to better serve their citizens. Benefits aside, this choice increases the danger of tracking via such sites. This is of great concern as governmental websites increasingly become the only interaction point with the government. In this paper, we investigate popular governmental websites across different countries and assess to what extent the visits to these sites are tracked by third-parties. Our results show that, unfortunately, tracking is a serious concern as up to 90% of these websites in some countries add cookies of third-party trackers without any consent from users. Even in countries with strict user privacy laws, non-session cookies set by trackers that last for days or months are widely present. We also show that the above is also a problem for international organizations’ official websites and popular websites that inform the public about the COVID-19 pandemic.

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GRADUATE SCHOOL

Based on a highly competitive application process, the BIFOLD Graduate School offers an innovative fast-track PhD Program for students holding a bachelor’s degree, as well as a PhD Program for students with a master’s degree.

PUBLICATIONS

Ahmed Osman, Prof. Dr. Klaus-Robert Müller, Dr. Grégoire Montavon, Prof. Dr. Wojciech Samek, Leila Arras

Explaining the Decisions of Convolutional and Recurrent Neural Networks. Mathematical Aspects of Deep Learning.

November 01 , 2022
https://iphome.hhi.de/samek/pdf/SamMADL22.pdf

Prof. Dr. Volker Markl, Dr. Sebastian Schelter, Dr. Zoi Kaoudi

DORIAN in action: Assisted Design of Data Science Pipelines

September 05 , 2022
https://www.vldb.org/pvldb/vol15/p3714-redyuk.pdf

Ahmet Kerem Aksoy, Pavel Dushev, Holmer Hemsen, Marcela Charfuelan, Prof. Dr. Volker Markl, Prof. Dr. Begüm Demir, Dr. Jorge-Arnulfo Quiané-Ruiz, Dr. Eleni Tzirita Zacharatou

Satellite Image Search in AgoraEO

August 23 , 2022
https://doi.org/10.48550/arXiv.2208.10830

Our Mission

BIFOLD conducts groundbreaking foundational research in Big Data Management (DM) and Machine Learning (ML), as well as its intersection, to educate the talents of the future and to create high-impact knowledge.

 

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