Neural Network Verification: A Theoretical Introduction
These lecture notes offer a theoretical introduction to the verification of neural networks, covering feed-forward neural networks, recurrent neural networks, attention mechanisms, and transformers. The text discusses specification languages and algorithmic verification techniques. Published on arXiv under computer science and logic in computer science, the notes provide a foundation for understanding how to formally verify neural network behavior.
Key facts
- Lecture notes on verification of neural networks from a theoretical perspective.
- Covers feed-forward neural networks, recurrent neural networks, attention mechanisms, and transformers.
- Discusses specification languages and algorithmic verification techniques.
- Published on arXiv under computer science and logic in computer science.
- arXiv ID: 2604.25733.
Entities
Institutions
- arXiv