Adversarial Attacks and Defenses for Robust Android Malware Detection

Malware classifiers based on machine learning models are vulnerable to adversarial attacks that can fool the models into misclassifying malicious applications as benign. Researchers have proposed various evasion attack techniques and defense mechanisms to build more robust malware detectors.