Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing.
Daniel GibertLuca DemetrioGiulio ZizzoQuan LeJordi PlanesBattista BiggioPublished in: CoRR (2024)
Keyphrases
- machine learning
- learning algorithm
- learning tasks
- machine learning methods
- data mining
- decision trees
- machine learning algorithms
- data analysis
- reverse engineering
- inductive learning
- object detection
- active learning
- information extraction
- smoothing methods
- neural network
- malware detection
- artificial intelligence
- pattern recognition
- multi agent
- feature selection
- statistical methods
- information retrieval
- decision forest
- explanation based learning
- machine learning approaches
- computer vision
- reinforcement learning
- support vector machine
- source code
- text mining
- computer science
- software engineering
- probabilistic model