Relevant bibliographies by topics / Security of machine learning classifiers / Books

Books on the topic 'Security of machine learning classifiers'

To see the other types of publications on this topic, follow the link: Security of machine learning classifiers.
Author: Grafiati
Published: 14 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 books for your research on the topic 'Security of machine learning classifiers.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Learning kernel classifiers: Theory and algorithms. Cambridge, Mass: MIT Press, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Chen, Xiaofeng, Willy Susilo, and Elisa Bertino, eds. Cyber Security Meets Machine Learning. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6726-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Chen, Xiaofeng, Hongyang Yan, Qiben Yan, and Xiangliang Zhang, eds. Machine Learning for Cyber Security. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62223-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Chen, Xiaofeng, Hongyang Yan, Qiben Yan, and Xiangliang Zhang, eds. Machine Learning for Cyber Security. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62460-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Chen, Xiaofeng, Hongyang Yan, Qiben Yan, and Xiangliang Zhang, eds. Machine Learning for Cyber Security. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62463-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Chen, Xiaofeng, Xinyi Huang, and Jun Zhang, eds. Machine Learning for Cyber Security. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30619-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Xu, Yuan, Hongyang Yan, Huang Teng, Jun Cai, and Jin Li, eds. Machine Learning for Cyber Security. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-20102-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Xu, Yuan, Hongyang Yan, Huang Teng, Jun Cai, and Jin Li, eds. Machine Learning for Cyber Security. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-20096-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Xu, Yuan, Hongyang Yan, Huang Teng, Jun Cai, and Jin Li, eds. Machine Learning for Cyber Security. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-20099-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Dolev, Shlomi, Oded Margalit, Benny Pinkas, and Alexander Schwarzmann, eds. Cyber Security Cryptography and Machine Learning. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78086-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
11

Wang, Gang, Arridhana Ciptadi, and Ali Ahmadzadeh, eds. Deployable Machine Learning for Security Defense. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87839-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
12

Halak, Basel, ed. Machine Learning for Embedded System Security. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94178-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
13

Dolev, Shlomi, Jonathan Katz, and Amnon Meisels, eds. Cyber Security, Cryptology, and Machine Learning. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07689-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
14

Dinur, Itai, Shlomi Dolev, and Sachin Lodha, eds. Cyber Security Cryptography and Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94147-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
15

Wang, Gang, Arridhana Ciptadi, and Ali Ahmadzadeh, eds. Deployable Machine Learning for Security Defense. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59621-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
16

Dolev, Shlomi, Vladimir Kolesnikov, Sachin Lodha, and Gera Weiss, eds. Cyber Security Cryptography and Machine Learning. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49785-9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
17

Dolev, Shlomi, and Sachin Lodha, eds. Cyber Security Cryptography and Machine Learning. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60080-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
18

Dolev, Shlomi, Danny Hendler, Sachin Lodha, and Moti Yung, eds. Cyber Security Cryptography and Machine Learning. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20951-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
19

Yu, Zhenwei. Intrusion detection: A machine learning approach. London: Imperial College Press, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
20

Thomas, Tony, Athira P. Vijayaraghavan, and Sabu Emmanuel. Machine Learning Approaches in Cyber Security Analytics. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1706-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
21

Krishna, P. Venkata, Sasikumar Gurumoorthy, and Mohammad S. Obaidat. Social Network Forensics, Cyber Security, and Machine Learning. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1456-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
22

Maloof, Marcus A., ed. Machine Learning and Data Mining for Computer Security. London: Springer-Verlag, 2006. http://dx.doi.org/10.1007/1-84628-253-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
23

Bhattacharyya, Dhruba K. Network anomaly detection: A machine learning perspective. Boca Raton: CRC Press, Taylor & Francis Group, 2014.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
24

Tanwar, Sarvesh, Sumit Badotra, and Ajay Rana. Machine Learning, Blockchain, and Cyber Security in Smart Environments. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003240310.

Full text
APA, Harvard, Vancouver, ISO, and other styles
25

Bhattacharjee, Arup, Samir Kr Borgohain, Badal Soni, Gyanendra Verma, and Xiao-Zhi Gao, eds. Machine Learning, Image Processing, Network Security and Data Sciences. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6315-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
26

Bhattacharjee, Arup, Samir Kr Borgohain, Badal Soni, Gyanendra Verma, and Xiao-Zhi Gao, eds. Machine Learning, Image Processing, Network Security and Data Sciences. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6318-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
27

Mena, Jesus. Machine learning forensics for law enforcement, security, and intelligence. Boca Raton, FL: Taylor & Francis, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
28

Doriya, Rajesh, Badal Soni, Anupam Shukla, and Xiao-Zhi Gao, eds. Machine Learning, Image Processing, Network Security and Data Sciences. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5868-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
29

Khare, Nilay, Deepak Singh Tomar, Mitul Kumar Ahirwal, Vijay Bhaskar Semwal, and Vaibhav Soni, eds. Machine Learning, Image Processing, Network Security and Data Sciences. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-24352-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
30

Khare, Nilay, Deepak Singh Tomar, Mitul Kumar Ahirwal, Vijay Bhaskar Semwal, and Vaibhav Soni, eds. Machine Learning, Image Processing, Network Security and Data Sciences. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-24367-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
31

Yu, Philip S. Machine Learning in Cyber Trust: Security, Privacy, and Reliability. Boston, MA: Springer-Verlag US, 2009.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
32

Lecuyer, Mathias. Security, Privacy, and Transparency Guarantees for Machine Learning Systems. [New York, N.Y.?]: [publisher not identified], 2019.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
33

Shi, Kevin. Cryptographic approaches to security and optimization in machine learning. [New York, N.Y.?]: [publisher not identified], 2020.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
34

Machine learning forensics for law enforcement, security, and intelligence. Boca Raton, FL: Taylor & Francis, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
35

Herbrich, Ralf. Learning Kernel Classifiers: Theory and Algorithms. MIT Press, 2018.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
36

Herbrich, Ralf. Learning Kernel Classifiers: Theory and Algorithms. MIT Press, 2022.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
37

Herbrich, Ralf, and Francis Bach. Learning Kernel Classifiers: Theory and Algorithms. MIT Press, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
38

Herbrich, Ralf. Learning Kernel Classifiers: Theory and Algorithms (Adaptive Computation and Machine Learning). The MIT Press, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
39

(Editor), Peter J. Bartlett, Bernhard Schölkopf (Editor), Dale Schuurmans (Editor), and Alex J. Smola (Editor), eds. Advances in Large-Margin Classifiers (Neural Information Processing). The MIT Press, 2000.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
40

Mooney, Raymond J. Machine Learning. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0020.

Full text
Abstract:
This article introduces the type of symbolic machine learning in which decision trees, rules, or case-based classifiers are induced from supervised training examples. It describes the representation of knowledge assumed by each of these approaches and reviews basic algorithms for inducing such representations from annotated training examples and using the acquired knowledge to classify future instances. Machine learning is the study of computational systems that improve performance on some task with experience. Most machine learning methods concern the task of categorizing examples described by a set of features. These techniques can be applied to learn knowledge required for a variety of problems in computational linguistics ranging from part-of-speech tagging and syntactic parsing to word-sense disambiguation and anaphora resolution. Finally, this article reviews the applications to a variety of these problems, such as morphology, part-of-speech tagging, word-sense disambiguation, syntactic parsing, semantic parsing, information extraction, and anaphora resolution.
APA, Harvard, Vancouver, ISO, and other styles
41

Vidales, A. Machine Learning with Matlab. Supervised Learning: Knn Classifiers, Ensemble Learning, Random Forest, Boosting and Bagging. Independently Published, 2019.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
42

Joseph, Anthony D., Blaine Nelson, J. D. Tygar, and Benjamin I. P. Rubinstein. Adversarial Machine Learning. Cambridge University Press, 2019.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
43

Joseph, Anthony D., Blaine Nelson, Benjamin I. P. Rubinstein, and J. D. Tygar. Adversarial Machine Learning. Cambridge University Press, 2019.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
44

Chen, Xiaofeng, Elisa Bertino, and Willy Susilo. Cyber Security Meets Machine Learning. Springer Singapore Pte. Limited, 2021.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
45

Chen, Xiaofeng, Elisa Bertino, and Willy Susilo. Cyber Security Meets Machine Learning. Springer, 2022.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
46

Nautiyal, Lata. Machine Learning for Cyber Security. de Gruyter GmbH, Walter, 2022.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
47

Nautiyal, Lata. Machine Learning for Cyber Security. de Gruyter GmbH, Walter, 2022.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
48

Halak, Basel. Machine Learning for Embedded System Security. Springer International Publishing AG, 2022.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
49

AI, Machine Learning and Deep Learning: A Security Perspective. Taylor & Francis Group, 2023.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
50

AI, Machine Learning and Deep Learning: A Security Perspective. Taylor & Francis Group, 2023.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Security of machine learning classifiers' for other source types:
Journal articles Dissertations / Theses
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography