Adversarial machine learning /

Adversarial machine learning /

Show other versions (1)

Bibliographic Details
Main Authors:	Joseph, Anthony D. (Author), Nelson, Blaine (Author), Rubinstein, Benjamin I. P. (Author), Tygar, J. D. (Author)
Corporate Author:	Cambridge University Press
Format:	Book
Language:	English
Published:	Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2019
Subjects:	Computer security Machine learning

Similar Items

Adversarial machine learning /
by: Joseph, Anthony D, et al.
Published: (2019)

Machine Learning for Cybersecurity : Innovative Deep Learning Solutions /
by: Omar, Marwan, et al.
Published: (2022)

Machine learning for cyber security : 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, proceedings
Published: (2023)

Machine learning for cyber security : 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, proceedings
Published: (2023)

Machine learning for cyber security : 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, proceedings
Published: (2023)

Adversarial machine learning /
by: Vorobeychik, Yevgeniy, et al.
Published: (2018)

Machine learning and security : protecting systems with data and algorithms /
by: Chio, Clarence, et al.
Published: (2018)

Machine learning for cybersecurity : innovative deep learning solutions /
by: Omar, Marwan, 1982-
Published: (2022)

Adversarial learning and secure AI /
by: Miller, David J.
Published: (2023)

Robust Machine Learning : Distributed Methods for Safe AI /
by: Guerraoui, Rachid, et al.
Published: (2024)

Adversarial learning and secure AI /
by: Miller, David J (Electrical engineer), et al.
Published: (2024)

Deep learning for computational problems in hardware security : modeling attacks on strong physically unclonable function circuits /
by: Santikellur, Pranesh, et al.
Published: (2023)

Machine learning and security : protecting systems with data and algorithms /
by: Chio, Clarence, et al.
Published: (2018)

Adversarial machine learning : attack surfaces, defence mechanisms, learning theories in artificial intelligence /
by: Chivukula, Aneesh Sreevallabh, et al.
Published: (2023)

Machine learning, blockchain technologies and big data analytics for IoTs : methods, technologies and applications /
Published: (2022)

Machine learning safety /
by: Huang, Xiaowei, et al.
Published: (2023)

Privacy-preserving machine learning /
by: Chang, J. Morris, et al.
Published: (2022)

Adversarial machine learning /
by: Vorobeychik, Yevgeniy, et al.
Published: (2018)

PPMLP '20 : proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice : November 9, 2020, virtual event, USA /
Published: (2020)

Privacy-preserving machine learning /
by: Chang, J. Morris, et al.
Published: (2023)

Privacy-preserving machine learning /
by: Chang, J. Morris, et al.
Published: (2023)

Practical machine learning : a new look at anomaly detection /
by: Dunning, Ted, et al.
Published: (2014)

Machine learning algorithms : adversarial robustness in signal processing /
by: Li, Fuwei
Published: (2022)

Deployable machine learning for security defense : second international workshop, MLHat 2021, virtual event, August 15, 2021 : proceedings /
Published: (2021)

Machine Learning for Cyber Agents : Attack and Defence /
by: Abaimov, Stanislav, et al.
Published: (2022)

Practical machine learning : a new look at anomaly detection /
by: Dunning, Ted, 1956-
Published: (2014)

Machine learning techniques and analytics for cloud security /
Published: (2022)

Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context /
by: Kunczik, Leonhard, et al.
Published: (2022)

Ciberseguridad : un enfoque desde la ciencia de datos /
by: Urcuqui, Christian Camilo, et al.
Published: (2018)

Machine learning : theory and practice /
by: Kalita, Jugal Kumar, et al.
Published: (2023)

Machine Learning Paradigms : Advances in Deep Learning-based Technological Applications /
Published: (2020)

Not with a bug, but with a sticker : attacks on machine learning systems and what to do about them /
by: Kumar, Ram Shankar Siva, et al.
Published: (2023)

The computational complexity of machine learning /
by: Kearns, Michael J, et al.
Published: (1990)

Foundations of machine learning /
by: MOHRI, MEHRYAR
Published: (2012)

Foundations of machine learning /
by: Mohri, Mehryar, et al.
Published: (2018)

Machine learning : algorithms and applications /
by: Mohammed, Mohssen, 1982-, et al.
Published: (2017)

Machine Learning and AI for Healthcare : Big Data for Improved Health Outcomes /
by: Panesar, Arjun, et al.
Published: (2021)

Cyber security meets machine learning /
Published: (2021)

Algorithms in machine learning paradigms /
Published: (2020)

Machine learning engineering in action /
by: Wilson, Ben (Computer engineer), et al.
Published: (2022)