Neural Network Security

Neural network security refers to the technologies and methods that protect neural network models from malicious attacks and data breaches. Its objective is to ensure the robustness, privacy, and integrity of the models, preventing threats such as adversarial attacks, model reverse engineering, and data theft. The application value of neural network security lies in enhancing the trustworthiness and reliability of AI systems, safeguarding user data, and promoting the healthy development of AI technology.