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\nUse a real-life example of an AI system to discuss some impacts of cyber attacks : Building an Image Classification Task and Its Peculiarities\n

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\nFrom the section: Testing Image Classification. In this section, you will design specific security tests for image recognition systems. Here you will focus on one particular type of AI solution – image classification, and one category...\nFrom the section: Testing Image Classification. In this section, you will design specific security tests for image recognition systems. Here you will focus on one particular type of AI solution – image classification, and one category of attacks – adversarial attacks, and test how different parameters can test different attacks against these systems.

The aim of this video is to give an overview of different algorithms, datasets, and models which can be used for solving the image recognition task.
• Introduce the list of different ML architectures for image classification
• Introduce the list of different ML models for image classification
• Introduce the list of different ML datasets for image classification\n
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Resource Details

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Media Length
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3:00
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Grade
Higher Ed
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Subjects
STEM
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Media Type
Instructional Videos
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Source:
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\nPackt - Data\n\n
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Date
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2020
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Language
English
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For Teacher Use
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Fine Print: Educational Use
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Concepts

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computer science, architecture, parameters, algorithms, work, coding
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Additional Tags

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computer engineering, compsci, programming, development, ai solution, image classification, data set, neural network, image net, adversarial attacks, resnet, models, common, important, attacks, section, systems, security, algorithm, layer, model, avoid, production, problem, inception, defenses, datasets, develop, differ
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