25 items found

Tags: Privacy

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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...
    • GitHub
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  • Method

    Privacy Risk on Sociometer

    This method provides a Privacy Risk Assessment on CDR data, aggregated through the presence vectors used by the Sociometer.
    • PDF
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    • TXT
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    • jar
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  • Method

    Privacy Risk on Trajectories

    This method provides a Privacy Risk Assessment on mobility data, in terms of trajectories or aggregation of trajectories, i.e., locations with frequency of visit and locations...
    • Python
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  • Method

    Human Mobility Data Privacy Risk Estimator

    This method is a fast and flexible approach to estimate privacy risk in human mobility data. The idea is to train classifiers to capture the relation between individual...
  • TrainingMaterial

    Mobility data sharing: application potential and ethical issues webinar

    4th SoBigData++ Awareness Panel Webinar Programme Decentralized anonymization of mobility data Speaker: Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia)...
  • TrainingMaterial

    Tutorials on anonymization and antidiscrimination of datasets

    These tutorials show how to use the already implemented libraries for the anonymization and antidiscrimination of data sets: - Anonymization library:...
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    • ipynb
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  • Application

    Scikit-mobility

    Scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame...
    • URL
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  • Dataset

    Multi-Task Faces (MTF) dataset

    The Multi-Task Faces (MTF) dataset consists of cropped human faces for classification tasks or other research purposes. Each image in the dataset is labelled according to four...
    • ZIP
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  • Experiment

    Label flipping attacks in Federated Learning

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

    privlib

    A python library for assessing and mitigating privacy and discrimination risk in tabular and sequential data
  • Experiment

    Membership Inference Attacks on ML Models

    This collection of Jupyter notebooks implements membership inference attacks found in Salem et al. "ML-Leaks: Model and Data Independent Membership Inference Attacks and...
    • ipynb
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    • ipynb
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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

    Second SoBigData Plus Plus Awareness Panel R. I. Platforms Data Protection an...

    This webinar, which took place on 10 November 2020, was aimed at exploring the theme of data protection and intellectual property issues in platforms. The first speaker was...
    • HTML
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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...
    • .webloc
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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...
    • bibtex
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    • PDF
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