I. INTRODUCTION  
II. UNIFIED MALWARE CLASSIFICATION FRAMEWORK  
III. MALWARE CLASSIFICATION ON THE BASIS OF ML  
IV. ADVERSARIAL ATTACK METHODS  
V. STRATEGIES TO STRENGTHEN ROBUSTNESS AGAINST ADVERSARIAL ATTACKS  
VI. HURDLES IN THE DAED PROCESS  
VII. FUTURE SCOPE  
VIII. CONCLUSION  