10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect your systems and boost your defenses with cutting-edge AI techniques
Author:   Rajvardhan Oak
Publisher:   Packt Publishing Limited
ISBN:  

9781804619476


Pages:   330
Publication Date:   31 May 2023
Format:   Paperback
Availability:   Available To Order   Availability explained
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10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect your systems and boost your defenses with cutting-edge AI techniques


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Author:   Rajvardhan Oak
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781804619476


ISBN 10:   1804619477
Pages:   330
Publication Date:   31 May 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Product Information Document On Cybersecurity and Machine Learning Detecting Suspicious Activity Malware Detection Using Transformers and BERT Detecting Fake Reviews Detecting Deepfakes Detecting Machine-Generated Text Attributing Authorship and How to Evade it Detecting Fake News with Graph Neural Networks Attacking Models with Adversarial Machine Learning Protecting User Privacy with Differential Privacy Protecting User Privacy with Federated Machine Learning Breaking into the Sec-ML Industry

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Author Information

Rajvardhan Oak is a cybersecurity expert, researcher, and scientist with a focus on machine learning solutions to security issues such as fake news, malware, and botnets. He obtained his bachelor's degree from the University of Pune, India, and his master's degree from the University of California, Berkeley. He has served on the editorial committees of multiple technical conferences and journals. His work has been featured by prominent news outlets such as WIRED magazine and the Daily Mail. In 2022, he received the ISC2 Global Achievement Award for Excellence in Cybersecurity. He is based in the Seattle area and works for Microsoft as an applied scientist in the ads fraud division.

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