Defense Against Adversarial Attacks on Image Recognition: A Versatile Approach

The author proposes a versatile defense approach based on image-to-image translation to combat adversarial attacks, demonstrating superior performance compared to attack-specific models. This single model can effectively resist various unknown adversarial attacks, showcasing improved classification accuracy.