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[FreeCoursesOnline.Me] PacktPub - Securing Your AI And Machine Learning Systems [Video]
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Author : Alexander Polyakov Released : 22 Jan 2020 Duration : 2 hours 10 minutes Course Source : https://www.packtpub.com/in/data/securing-your-ai-and-machine-learning-systems-video
Design secure AI/ML solutions
Learn
• Design secure AI solution architectures to cover all aspects of AI security from model to environment • Create a high-level threat model for AI solutions and choose the right priorities against various threats • Design specific security tests for image recognition systems • Test any AI system against the latest attacks with the help of simple tools • Learn the most important metrics to compare various attacks and defences • Deploy the right defence methods to protect AI systems against attacks by comparing their efficiency • Secure your AI systems with the help of practical open-source tools
About
Artificial Intelligence (AI) is literally eating software as more and more solutions become ML-based. Unfortunately, these systems also have vulnerabilities; but, compared to software security, few people are really knowledgeable about this area. If it’s impossible to secure AI against cyberattacks, there will be no AI-based technologies, such as self-driving cars, and yet another “AI winter” will soon be on us.
This course is almost certainly the first public, online, hands-on introduction to the future perspectives of cybersecurity and adopts a clear and easy-to-follow approach. In this course, you will learn about high-level risks targeting AI/ML systems. You will design specific security tests for image recognition systems and master techniques to test against attacks. You will then learn about various categories of adversarial attacks and how to choose the right defense strategy.
By the end of this course, you will be acquainted with various attacks and, more importantly, with the steps that you can take to secure your AI and machine learning systems effectively. For this course, practical experience with Python, machine learning, and deep learning frameworks is assumed, along with some basic math skills.
All the code and supporting files for this course are available on GitHub at:
Features • Gain practical experience with various open-source tools such as ART (Adversarial Robustness Toolkit) and DeepSec, developed to test machine learning algorithms for security • Learn to design secure AI solutions depending on risks that are typical for your application with the help of a unique approach • Understand the attacks and different approaches for securing various AI/ML systems
ISBN9781838826451
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FILE LIST
Filename
Size
0. Websites you may like/How you can help our Group!.txt
208 B
1 - Machine Learning Security/01 - The Course Overview.mp4
40.9 MB
1 - Machine Learning Security/02 - Introduction to ML Security.mp4
29.9 MB
1 - Machine Learning Security/03 - Setting Up the Environment.mp4
15 MB
2 - Security Test Using Adversarial Attack/04 - Introduction to Machine Learning Tasks.mp4
26 MB
2 - Security Test Using Adversarial Attack/05 - Attacks Against ML with Examples.mp4
7.3 MB
2 - Security Test Using Adversarial Attack/06 - Categories of ML Tasks and Attacks.mp4
9.9 MB
2 - Security Test Using Adversarial Attack/07 - Attacks on Classification and How They Work.mp4
5.4 MB
2 - Security Test Using Adversarial Attack/08 - Practical Example ..Adversarial Challenge.mp4
17 MB
3 - Build a Threat Model and Learn Different Attacks on AI/09 - Most Common AI Solutions and Threats.mp4
45.9 MB
3 - Build a Threat Model and Learn Different Attacks on AI/10 - Confidentiality, Availability, and Integrity Attacks.mp4
5.1 MB
3 - Build a Threat Model and Learn Different Attacks on AI/11 - Poisoning Attacks, Privacy, and Backdoor Attacks Theory.mp4
9 MB
3 - Build a Threat Model and Learn Different Attacks on AI/12 - Practical Poisoning Attacks.mp4
12.9 MB
3 - Build a Threat Model and Learn Different Attacks on AI/13 - Practical Privacy Attacks.mp4
15.2 MB
3 - Build a Threat Model and Learn Different Attacks on AI/14 - Practical Backdoor Attacks.mp4
17.1 MB
4 - Testing Image Classification/15 - Building an Image Classification Task and Its Peculiarities.mp4
5.5 MB
4 - Testing Image Classification/16 - Adversarial Attacks and Their Distinctive Features.mp4
9.7 MB
4 - Testing Image Classification/17 - White-Box Adversarial with Example.mp4
9.3 MB
4 - Testing Image Classification/18 - Grey-Box Adversarial with Example.mp4
9.4 MB
4 - Testing Image Classification/19 - Black-Box Adversarial with Example.mp4
9.5 MB
5 - Compare Various Attacks/20 - Adversarial Attacks Metrics and White-Box Adversarial Attacks.mp4
7.3 MB
5 - Compare Various Attacks/21 - BIM Attack Practical Configuration.mp4
16.1 MB
5 - Compare Various Attacks/22 - CW Attack Practical Configuration.mp4
10.5 MB
5 - Compare Various Attacks/23 - DeepFool Attack Practical Configuration.mp4
9.7 MB
5 - Compare Various Attacks/24 - PGD Attack Practical Configuration.mp4
15.2 MB
5 - Compare Various Attacks/25 - Comparing Metrics and Choosing the Best Attack.mp4
11.9 MB
6 - Choosing the Right Defense/26 - Introduction to Various Defense Approaches to Adversarial Attacks.mp4
7.3 MB
6 - Choosing the Right Defense/27 - The Current State of Defenses.mp4
2.7 MB
6 - Choosing the Right Defense/28 - Testing Practical Defense from Adversarial Training Category.mp4
11.8 MB
6 - Choosing the Right Defense/29 - Testing Practical Defence from Modified Input Category.mp4
8.3 MB
6 - Choosing the Right Defense/30 - Testing Practical Defence from Modified Model Category.mp4
4.4 MB
6 - Choosing the Right Defense/31 - Comparing Defence Approaches and Choosing the Best Defence.mp4
15.2 MB
7 - Summary and Future Trends/32 - Combining Everything Together.mp4
7.3 MB
7 - Summary and Future Trends/33 - An Approach to Testing AI Solutions.mp4
3 MB
7 - Summary and Future Trends/34 - Preparing the Environment.mp4
9.9 MB
7 - Summary and Future Trends/35 - Importing the Models.mp4
8 MB
7 - Summary and Future Trends/36 - Testing the Attacks.mp4
13 MB
7 - Summary and Future Trends/37 - Choosing the Defenses.mp4
15 MB
7 - Summary and Future Trends/38 - The Future of AI Attacks.mp4
9 MB
7 - Summary and Future Trends/39 - Sources and Recommendations.mp4
16.5 MB
7 - Summary and Future Trends/40 - Conclusions and Best Wishes.mp4
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