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Engineering Dependable and Secure Ma...
~
Farchi, Eitan.
Engineering Dependable and Secure Machine Learning Systems = Third International Workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, Revised Selected Papers /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Engineering Dependable and Secure Machine Learning Systems/ edited by Onn Shehory, Eitan Farchi, Guy Barash.
Reminder of title:
Third International Workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, Revised Selected Papers /
other author:
Shehory, Onn.
Description:
IX, 141 p. 44 illus., 34 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-62144-5
ISBN:
9783030621445
Engineering Dependable and Secure Machine Learning Systems = Third International Workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, Revised Selected Papers /
Engineering Dependable and Secure Machine Learning Systems
Third International Workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, Revised Selected Papers /[electronic resource] :edited by Onn Shehory, Eitan Farchi, Guy Barash. - 1st ed. 2020. - IX, 141 p. 44 illus., 34 illus. in color.online resource. - Communications in Computer and Information Science,12721865-0929 ;. - Communications in Computer and Information Science,498.
Quality Management of Deep Learning Systems -- Can Attention Masks Improve Adversarial Robustness? -- Learner-Independent Data Omission Attacks -- Extraction of Complex DNN Models: Real Threat or Boogeyman? -- Principal Component Properties of Adversarial Samples -- FreaAI: Automated extraction of data slices to test machine learning models -- Density estimation in representation space to predict model uncertainty -- Automated detection of drift in deep learning based classifiers using network embedding -- Quality of syntactic implication of RL-based sentence summarization -- Dependable Neural Networks for Safety Critical Tasks.
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. .
ISBN: 9783030621445
Standard No.: 10.1007/978-3-030-62144-5doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Engineering Dependable and Secure Machine Learning Systems = Third International Workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020, Revised Selected Papers /
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Quality Management of Deep Learning Systems -- Can Attention Masks Improve Adversarial Robustness? -- Learner-Independent Data Omission Attacks -- Extraction of Complex DNN Models: Real Threat or Boogeyman? -- Principal Component Properties of Adversarial Samples -- FreaAI: Automated extraction of data slices to test machine learning models -- Density estimation in representation space to predict model uncertainty -- Automated detection of drift in deep learning based classifiers using network embedding -- Quality of syntactic implication of RL-based sentence summarization -- Dependable Neural Networks for Safety Critical Tasks.
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