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Course Outline
Introduction to AI Security Challenges for Government
- Understanding security risks unique to AI systems in government operations
- Comparing traditional cybersecurity with AI-specific cybersecurity for government applications
- Overview of attack surfaces in AI models used by government agencies
Adversarial Machine Learning for Government
- Types of adversarial attacks: evasion, poisoning, and extraction in government systems
- Implementing adversarial defenses and countermeasures for government AI models
- Case studies on adversarial attacks in various industries, with implications for government operations
Model Hardening Techniques for Government
- Introduction to model robustness and hardening in government AI systems
- Techniques for reducing model vulnerability to attacks in government applications
- Hands-on with defensive distillation and other hardening methods for government AI models
Data Security in Machine Learning for Government
- Securing data pipelines for training and inference in government AI systems
- Preventing data leakage and model inversion attacks in government datasets
- Best practices for managing sensitive data in AI systems for government use
AI Security Compliance and Regulatory Requirements for Government
- Understanding regulations around AI and data security in government contexts
- Compliance with GDPR, CCPA, and other data protection laws for government agencies
- Developing secure and compliant AI models for government operations
Monitoring and Maintaining AI System Security for Government
- Implementing continuous monitoring for AI systems in government operations
- Logging and auditing for security in machine learning for government use
- Responding to AI security incidents and breaches in government systems
Future Trends in AI Cybersecurity for Government
- Emerging techniques in securing AI and machine learning for government applications
- Opportunities for innovation in AI cybersecurity for government agencies
- Preparing for future AI security challenges in the public sector
Summary and Next Steps for Government
Requirements
- Basic understanding of machine learning and artificial intelligence concepts
- Familiarity with cybersecurity principles and best practices
Audience
- AI and machine learning engineers seeking to enhance security in AI systems for government applications
- Cybersecurity professionals dedicated to protecting AI models
- Compliance and risk management professionals involved in data governance and security
14 Hours
Testimonials (1)
The profesional knolage and the way how he presented it before us
