Phase 4: Advanced Topics & Frontiers¶
Research Directions & Real-World Deployment
1 min read · 242 words
The final phase explores cutting-edge research frontiers and real-world deployment challenges. You’ll study advanced robust training strategies and state-of-the-art defense mechanisms, confront scalability research and computational challenges, explore threat models beyond \(\ell_p\) perturbations, discover the unique challenges of verifying diverse architectures (Transformers, RNNs, GNNs), and examine real-world deployment scenarios across safety-critical domains. This phase bridges current research with future directions.
What You’ll Learn
This phase covers advanced topics and frontiers: from state-of-the-art training strategies and scalability challenges to alternative threat models, diverse architectures, and real-world deployment in safety-critical systems.
Guides in This Phase¶
Comprehensive guide to adversarial training and robust optimization strategies
Probabilistic certification, randomized smoothing, and defense mechanisms
Addressing computational complexity and scaling to real-world networks
Semantic perturbations, physical adversarial examples, and distributional robustness
Unique challenges for Transformers, RNNs, GNNs, and non-standard networks
Deployment in autonomous driving, medical diagnosis, and safety-critical systems
You’ve Completed All Phases!
Congratulations on completing all four phases of the NNV Guides! To see these techniques in action, explore WraLU: Fast and Precise ReLU Hull Approximation and WraAct: Convex Hull Approximation for General Activation Functions for practical verification tools, or visit My Research Journey to learn about ongoing research directions.
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