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You're reading from  10 Machine Learning Blueprints You Should Know for Cybersecurity

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781804619476
Edition1st Edition
Concepts
Machine Learning
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Author (1)
Rajvardhan Oak
Rajvardhan Oak
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Rajvardhan Oak

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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Differential privacy

In this section, we will cover the basics of differential privacy, including the mathematical definition and a real-world example.

What is differential privacy?

Differential privacy (DP) is a framework for preserving the privacy of individuals in a dataset when it is used for statistical analysis or machine learning. The goal of DP is to ensure that the output of a computation on a dataset does not reveal sensitive information about any individual in the dataset. This is accomplished by adding controlled noise to the computation in order to mask the contribution of any individual data point.

DP provides a mathematically rigorous definition of privacy protection by quantifying the amount of information that an attacker can learn about an individual by observing the output of a computation. Specifically, DP requires that the probability of observing a particular output from a computation is roughly the same whether a particular individual is included in...

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10 Machine Learning Blueprints You Should Know for Cybersecurity
Published in: May 2023Publisher: PacktISBN-13: 9781804619476
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Rajvardhan Oak

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.
Read more about Rajvardhan Oak

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