Latest

• Training Robust ML-based Raw-Binary Malware Detectors in Hours, not Months
• Group-based Robustness: A General Framework for Customized Robustness in the Real World
• Adversarial Training for Raw-Binary Malware Classifiers
• Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
• Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes