Adversarial Defense

The Adversarial Defense task in the TrojAI competition aims to develop and evaluate machine learning models that can resist adversarial attacks. The goal of this task is to enhance the robustness and security of the models when faced with malicious inputs, ensuring their reliability and stability in real-world applications. By optimizing defense strategies, the ability of the models to identify and resist potential threats is strengthened, thereby improving the overall security protection level of the system.