Parisian Master of Research in Computer Science
Master Parisien de Recherche en Informatique (MPRI)

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cours:c-2-3-2 [2019/11/05 14:53]
catuscia [Material]
cours:c-2-3-2 [2019/11/20 12:02] (current)
catuscia
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   * Axiomatization   * Axiomatization
  
-== Privacy issues in Machine Learning (6h) ==+== Privacy issues in Machine Learning (9h) ==
   * A short introduction to machine learning and to Neural Networks   * A short introduction to machine learning and to Neural Networks
   * Model inversion attacks   * Model inversion attacks
   * Membership inference attacks   * Membership inference attacks
 +  * Other security issues: Adversarial examples
  
  
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   * Lecture 8: Introduction to privacy and security risks, Feature inference. Learning anonymized representation. Adversarial attacks. [[http://www.lix.polytechnique.fr/~catuscia/teaching/MPRI/19-20/lecture8.pdf|Slides]]   * Lecture 8: Introduction to privacy and security risks, Feature inference. Learning anonymized representation. Adversarial attacks. [[http://www.lix.polytechnique.fr/~catuscia/teaching/MPRI/19-20/lecture8.pdf|Slides]]
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 +==== Other reading material ====
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 +The following books are recommended for understanding the topics more in depth. They are not mandatory. 
 +
 +   * For the Differential Privacy part:  "The Algorithmic Foundations of Differential Privacy", by Cynthia Dwork and Aaron Roth. [[https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf|Available on line]]
 +
 +   * For the Information Flow part:  "The Science of Quantitative Information Flow", by Mario Alvim et al. [[http://www.lix.polytechnique.fr/~catuscia/teaching/MPRI/Material/QIF.pdf|Available on line]]
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 +   * For the Machine Learning part:  "Pattern Recognition and Machine Learning", by Christopher M Bishop. [[http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf|Available on line]]
 +
 +==== Exercises and previous exams ====
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 +Note: the part on Quantitative Information Flow was treated more in depth in the past years. So, please do not worry if you do not know some of the notions relative to the exercises/exams in Quantitative Information Flow. 
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 +   * Exercises. [[http://www.lix.polytechnique.fr/~catuscia/teaching/MPRI/17-18/exercises.pdf|Available here]] 
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 +   * Exam Year 17/18 [[ http://www.lix.polytechnique.fr/~catuscia/teaching/MPRI/17-18/exam/exam.pdf| Available here]]
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 +   * Exam Year 16/17 [[ http://www.lix.polytechnique.fr/~catuscia/teaching/MPRI/16-17/exam/exam.pdf| Available here]]
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 +   * Exam Year 15/16 [[ http://www.lix.polytechnique.fr/~catuscia/teaching/MPRI/15-16/exam/exam.pdf| Available here]]
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