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Securing AI and Advanced Topics
Coursera
Course
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Securing AI and Advanced Topics

Johns Hopkins University

Explore advanced techniques to secure AI systems against emerging threats, focusing on fraud detection and adversarial attacks using cloud AI solutions.

Unknown6 weeksEnglish

About this Course

In the course "Securing AI and Advanced Topics", learners will delve into the cutting-edge intersection of AI and cybersecurity, focusing on how advanced techniques can secure AI systems against emerging threats. Through a structured approach, you will explore practical applications, including fraud prevention using cloud AI solutions and the intricacies of Generative Adversarial Networks (GANs). Each module builds upon the previous one, enabling a comprehensive understanding of both offensive a

What You'll Learn

  • Implement AI-based solutions to detect and prevent credit card fraud in cloud environments
  • Explore fundamentals and applications of Generative Adversarial Networks
  • Gain experience with black-box and white-box adversarial attacks
  • Master feature engineering and performance evaluation for AI cybersecurity models

Prerequisites

  • Basic understanding of AI techniques
  • Knowledge of cybersecurity concepts

Instructors

L

Lanier Watkins

Topics

Generative AI
Cyber Security Strategy
Model Evaluation
Generative Adversarial Networks (GANs)
Security Testing
Fraud detection
Anomaly Detection
Performance Tuning
Applied Machine Learning
AI Security

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الذكاء الاصطناعي التوليدي
استراتيجية الأمن السيبراني
تقييم النماذج
شبكات الخصومة التوليدية
اختبار الأمان
كشف الاحتيال
اكتشاف الشذوذ
تحسين الأداء
Applied Machine Learning
AI Security

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