TYPES
Towards transparency and privacy in the online advertising business

DALI 2017 – Data Learning and Inference

Disseminating Partner: EURECAT

Type of disseminating activity: Workshop

Target-profile / audience: Scientific Community (Higher Education, Research), Industry

Number of attendants: 30-40

Section of the project covered by dissemination: This dissemination activity is related to WP6.

Overview of feedback received:

Dr. Sara Hajian had chance to introduce the results of TYPES project related to WP6 by presenting the methods and techniques developed as part of task 6.3.

Reason for choosing this particular event to disseminate the project:

Fairness and Privacy in Machine Learning workshop as part of DALI 2017 conference invited Dr. Sara Hajian to present the results of her recent research on developing fairness-aware and privacy-preserving data mining methods.

Integration with future exploitation plans

Presenting the results of TYPES project to fairness and privacy in Machine Learning community.

Relevant links:

http://dalimeeting.org/dali2017/fairness-and-privacy.html

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