13 items found

Groups: Ethics and Legality Tags: Privacy

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  • Method

    Privlib

    Privlib is a Python software package to manage privacy risk and discrimination in tabular and sequential data. It comprises methods to assess privacy risk (PRUDEnce) and...
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  • JournalArticle

    Machine Learning Explainability Via Microaggregation and Shallow Decision Trees

    Artificial intelligence (AI) is being deployed in missions that are increasingly critical for human life. To build trust in AI and avoid an algorithm-based authoritarian...
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  • ConferencePaper

    Explanation of Deep Models with Limited Interaction for Trade Secret and Priv...

    An ever-increasing number of decisions affecting our lives are made by algorithms. For this reason, algorithmic transparency is becoming a pressing need: automated decisions...
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  • BookChapter

    Machine Learning Explainability Through Comprehensible Decision Trees

    The role of decisions made by machine learning algorithms in our lives is ever increasing. In reaction to this phenomenon, the European General Data Protection Regulation...
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  • Method

    Python library for direct and indirect discrimination prevention in data mining

    This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...
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  • Experiment

    Label flipping attacks in Federated Learning

    The following experiments showcase Federated Learning using Scikit-learn.
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  • JournalArticle

    Accountability for the Use of Algorithms in a Big Data Environment

    Accountability is the ability to provide good reasons in order to explain and to justify actions, decisions, and policies for a (hypothetical) forum of persons or...
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  • TrainingMaterial

    Legal Materials as Big Data: (algo)Rithms Support Legal Interpretation. A Dia...

    This webinar, which took place on 6 July 2021, focused on the interplay between legal data and data science. The webinar, entitled ‘Legal Materials as Big Data: (algo)Rithms to...
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  • JournalArticle

    General confidentiality and utility metrics for privacy-preserving data publi...

    Anonymization for privacy-preserving data publishing, also known as statistical disclosure control (SDC), can be viewed under the lens of the permutation model. According to...
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  • JournalArticle

    Big Data and Due Process Toward a Framework to Redress Predictive Privacy Harms

    The rise of “Big Data” analytics in the private sector poses new challenges for privacy advocates. Through its reliance on existing data and predictive analysis to create...
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  • JournalArticle

    Privacy in the clouds

    Informational self-determination refers to the right or ability of individuals to exercise personal control over the collection, use and disclosure of their personal data by...
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  • BookChapter

    Information Technology Privacy and the Protection of Personal Data

    Information technology allows us to generate, store, and process huge quantities of data. Search engines, satellites, sensor networks, scientists, security agencies,...
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  • JournalArticle

    Ethical Value Centric Cybersecurity. A Methodology Based on a Value Graph

    Our society is being shaped in a non-negligible way by the technological advances of recent years, especially in information and communications technologies (ICTs). The...
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