A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing.
Daniel GibertGiulio ZizzoQuan LeJordi PlanesPublished in: CoRR (2024)
Keyphrases
- deep learning
- unsupervised learning
- detect malicious
- unsupervised feature learning
- deep architectures
- mental models
- clustering algorithm
- image segmentation
- pattern recognition
- viewpoint
- machine learning
- intrusion detection
- defense mechanisms
- weakly supervised
- partial occlusion
- maximum likelihood
- co occurrence
- information retrieval