國立高雄大學圖資館 |

Language: English

Back

Engineering dependable and secure ma...

(1998 :)

Engineering dependable and secure machine learning systemsthird international workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Engineering dependable and secure machine learning systemsedited 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 /
remainder title:	EDSMLS 2020
other author:	Shehory, Onn.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	ix, 141 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-62144-5
ISBN:	9783030621445$q(electronic bk.)

Engineering dependable and secure machine learning systemsthird international workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020 : revised selected papers /
Engineering dependable and secure machine learning systemsthird international workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020 : revised selected papers /[electronic resource] :EDSMLS 2020edited by Onn Shehory, Eitan Farchi, Guy Barash. - Cham :Springer International Publishing :2020. - ix, 141 p. :ill., digital ;24 cm. - Communications in computer and information science,12721865-0929 ;. - Communications in computer and information science ;229..

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$q(electronic bk.)

Standard No.: 10.1007/978-3-030-62144-5doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.3

Engineering dependable and secure machine learning systemsthird international workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020 : revised selected papers /
LDR:02354nmm a2200349 a 4500 001 589341
003 DE-He213
005 20201109130551.0
006 m d
007 cr nn 008maaau
008 210601s2020 sz s 0 eng d
020 $a 9783030621445$q(electronic bk.)
020 $a 9783030621438$q(paper)
024 7 $a 10.1007/978-3-030-62144-5 $2 doi
035 $a 978-3-030-62144-5
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q325.5 $b .A111 2020
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Engineering dependable and secure machine learning systems $h [electronic resource] : $b third international workshop, EDSMLS 2020, New York City, NY, USA, February 7, 2020 : revised selected papers / $c edited by Onn Shehory, Eitan Farchi, Guy Barash.
246 3 $a EDSMLS 2020
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a ix, 141 p. : $b ill., digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0929 ; $v 1272
505 0 $a 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.
520 $a 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.
650 0 $a Machine learning $v Congresses. $3 384498
650 0 $a Artificial intelligence $3 252958
650 0 $a Computer security $v Congresses. $3 383239
650 0 $a Computers. $3 202174
650 0 $a Application software. $3 200645
650 2 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Computer Appl. in Social and Behavioral Sciences. $3 274376
650 2 4 $a Computers and Education. $3 274532
700 1 $a Shehory, Onn. $3 585107
700 1 $a Farchi, Eitan. $3 881195
700 1 $a Barash, Guy. $3 881196
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 229. $3 547963
856 4 0 $u https://doi.org/10.1007/978-3-030-62144-5
950 $a Computer Science (SpringerNature-11645)