Adversarial attacks are deliberate attempts to manipulate or deceive machine learning models. Attackers introduce misleading data to cause errors in predictions or classifications, compromising the system’s accuracy and reliability.
The main challenges and limitations of machine learning for malware detection include issues with class imbalance, adversarial attacks, explainability, and…
Artificial Intelligence (AI) has made significant progress in recent years, but it still faces certain limitations and challenges. Understanding these…