Reza Hajimohammadi Tabriz

Enhancing Adversarial Robustness With Energy-Based Models: a Novel Training Approach for Input Purification

2025

Deep learning has advanced in fields like computer vision and natural language processing but still faces reliability challenges, including adversarial attacks that mislead models and threaten security-sensitive applications. Generative models help counter such threats by …