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Engineering Dependable and Secure Machine Learning Systems

Third International Workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Onn Shehory

    1. Bar-Ilan University, Ramat Gan, Israel

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  2. Eitan Farchi

    1. IBM Haifa Research Lab, Haifa, Israel

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    You can also search for this editor in PubMed   Google Scholar

  3. Guy Barash

    1. Bar-Ilan University, Ramat Gan, Israel

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1272)

Included in the following conference series:

Conference proceedings info: EDSMLS 2020.

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Table of contents (10 papers)

  1. Front Matter

    Pages i-ix
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  2. Quality Management of Machine Learning Systems

    • P. Santhanam
    Pages 1-13

  3. Can Attention Masks Improve Adversarial Robustness?

    • Pratik Vaishnavi, Tianji Cong, Kevin Eykholt, Atul Prakash, Amir Rahmati
    Pages 14-22

  4. Learner-Independent Targeted Data Omission Attacks

    • Guy Barash, Onn Shehory, Sarit Kraus, Eitan Farchi
    Pages 23-41

  5. Extraction of Complex DNN Models: Real Threat or Boogeyman?

    • Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan
    Pages 42-57

  6. Principal Component Properties of Adversarial Samples

    • Malhar Jere, Sandro Herbig, Christine Lind, Farinaz Koushanfar
    Pages 58-66

  7. FreaAI: Automated Extraction of Data Slices to Test Machine Learning Models

    • Samuel Ackerman, Orna Raz, Marcel Zalmanovici
    Pages 67-83

  8. Density Estimation in Representation Space to Predict Model Uncertainty

    • Tiago Ramalho, Miguel Miranda
    Pages 84-96

  9. Automated Detection of Drift in Deep Learning Based Classifiers Performance Using Network Embeddings

    • Parijat Dube, Eitan Farchi
    Pages 97-109

  10. Quality of Syntactic Implication of RL-Based Sentence Summarization

    • Hoa T. Le, Christophe Cerisara, Claire Gardent
    Pages 110-125

  11. Dependable Neural Networks for Safety Critical Tasks

    • Molly O’Brien, William Goble, Greg Hager, Julia Bukowski
    Pages 126-140

  12. Back Matter

    Pages 141-141
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  1. Engineering Dependable and Secure Machine Learning Systems

Keywords

About this book

This book constitutes the revised selected papers of the Third International Workshop on Engineering Dependable and Secure Machine Learning Systems, EDSMLS 2020, held in New York City, NY, USA, in February 2020. 

The 7 full papers and 3 short papers were thoroughly reviewed and selected from 16 submissions. The volume presents original research on dependability and quality assurance of ML software systems, adversarial attacks on ML software systems, adversarial ML and software engineering, etc. 

Editors and Affiliations

  • Bar-Ilan University, Ramat Gan, Israel

    Onn Shehory, Guy Barash

  • IBM Haifa Research Lab, Haifa, Israel

    Eitan Farchi

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