コース概要
Introduction to Edge AI Security
- Overview of Edge AI security challenges
- Threat landscape: cyberattacks on edge devices
- Regulatory compliance and security frameworks
Encryption and Authentication for Edge AI
- Data encryption techniques for secure AI models
- Hardware-based security: TPM and secure enclaves
- Implementing strong authentication and access control
Secure AI Model Deployment and Protection
- Preventing adversarial attacks on AI models
- Techniques for model obfuscation and protection
- Ensuring model integrity and trustworthiness
Resilience Strategies for Edge AI Systems
- Designing fault-tolerant Edge AI architectures
- AI-driven anomaly detection for security breaches
- Automated threat response mechanisms
Secure Edge-to-Cloud Communication
- Implementing secure communication protocols
- Data privacy and federated learning in Edge AI
- Ensuring compliance with industry security standards
Future Trends and Best Practices in Edge AI Security
- AI-powered cybersecurity for edge computing
- Emerging threats and evolving security strategies
- Ethical considerations in AI security
Summary and Next Steps
要求
- Advanced understanding of AI and machine learning concepts
- Experience with cybersecurity principles and encryption techniques
- Familiarity with IoT and Edge computing environments
Audience
- Cybersecurity professionals
- AI engineers
- IoT developers
お客様の声 (5)
Explaining in detail regarding RHDS.
Murat Kumburlu - Westpac Banking Corporation
コース - 389 Directory Server for Administrators
たくさんのことを学び、得た知識は仕事に活かせます!
Artur - Akademia Lomzynska
コース - Active Directory for Admins
機械翻訳
コース概要
Paulo Gouveia - EID
コース - C/C++ Secure Coding
機械翻訳
Trainer willing to answer questions and give bunch of examples for us to learn.
Eldrick Ricamara - Human Edge Software Philippines, Inc. (part of Tribal Group)
コース - Security Testing
It opens up a lot and gives lots of insight what security