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Privacy and Security Issues in Data Mining and Machine Learning

International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Christos Dimitrakakis

    1. Johann Wolfgang Goethe University, Frankfurt am Main, Germany

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  2. Aris Gkoulalas-Divanis

    1. Information Analytics Lab, IBM Research – Zurich, Rüschlikon, Switzerland

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  3. Aikaterini Mitrokotsa

    1. Ecole Polytechnice Fédérale de Lausanne, I&C - ISC - LASEC, Bâtiment INF, Lausanne, Switzerland

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  4. Vassilios S. Verykios

    1. Department of Computer and Communication Engineering, University of Thessaly, Octovriou, Greece

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  5. Yücel Saygin

    1. Faculty of Engineering and Natural Sciences, Sabanci University, Tuzla, Turkey

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6549)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: PSDML 2010.

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Table of contents (11 papers)

  1. Front Matter

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  2. Edit Constraints on Microaggregation and Additive Noise

    • Isaac Cano, Vicenç Torra
    Pages 1-14

  3. Preserving Privacy in Data Mining via Importance Weighting

    • Charles Elkan
    Pages 15-21

  4. Quadratic Error Minimization in a Distributed Environment with Privacy Preserving

    • Gérald Gavin, Julien Velcin
    Pages 22-35

  5. Secure Top-k Subgroup Discovery

    • Henrik Grosskreutz, Benedikt Lemmen, Stefan Rüping
    Pages 36-49

  6. ASAP: Automatic Semantics-Aware Analysis of Network Payloads

    • Tammo Krueger, Nicole Krämer, Konrad Rieck
    Pages 50-63

  7. Temporal Defenses for Robust Recommendations

    • Neal Lathia, Stephen Hailes, Licia Capra
    Pages 64-77

  8. SBAD: Sequence Based Attack Detection via Sequence Comparison

    • Ching-Hao Mao, Hsing-Kuo Pao, Christos Faloutsos, Hahn-Ming Lee
    Pages 78-91

  9. Classifier Evasion: Models and Open Problems

    • Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, J. D. Tygar
    Pages 92-98

  10. Large Margin Multiclass Gaussian Classification with Differential Privacy

    • Manas A. Pathak, Bhiksha Raj
    Pages 99-112

  11. Privacy Preserving Protocols for Eigenvector Computation

    • Manas Pathak, Bhiksha Raj
    Pages 113-126

  12. Content-Based Filtering in On-Line Social Networks

    • Marco Vanetti, Elisabetta Binaghi, Barbara Carminati, Moreno Carullo, Elena Ferrari
    Pages 127-140

  13. Back Matter

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  1. Privacy and Security Issues in Data Mining and Machine Learning

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About this book

This book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Barcelona, Spain, in September 2010. The 11 revised full papers presented were carefully reviewed and selected from 21 submissions. The papers range from data privacy to security applications, focusing on detecting malicious behavior in computer systems.

Editors and Affiliations

  • Johann Wolfgang Goethe University, Frankfurt am Main, Germany

    Christos Dimitrakakis

  • Information Analytics Lab, IBM Research – Zurich, Rüschlikon, Switzerland

    Aris Gkoulalas-Divanis

  • Ecole Polytechnice Fédérale de Lausanne, I&C - ISC - LASEC, Bâtiment INF, Lausanne, Switzerland

    Aikaterini Mitrokotsa

  • Department of Computer and Communication Engineering, University of Thessaly, Octovriou, Greece

    Vassilios S. Verykios

  • Faculty of Engineering and Natural Sciences, Sabanci University, Tuzla, Turkey

    Yücel Saygin

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