Poster: Attacking Malware Classifiers by Crafting Gradient-Attacks that Preserve Functionality.
Raphael Labaca CastroBattista BiggioGabi Dreo RodosekPublished in: CCS (2019)
Keyphrases
- detect malicious
- malicious code
- training data
- support vector
- detecting malicious
- classification systems
- decision trees
- attack scenarios
- countermeasures
- training set
- feature selection
- denial of service attacks
- multiple classifiers
- svm classifier
- reverse engineering
- linear classifiers
- computer security
- naive bayes
- test set
- support vector machine
- supervised classification
- edge detection
- training examples
- static analysis
- feature set
- classifier ensemble
- classifier combination
- training samples
- machine learning
- attack detection
- anti virus
- security mechanisms
- machine learning algorithms
- machine learning methods
- classification method