Systems and methods for improving performance of cascade classifiers for protecting against computer malware

Abstract

The disclosed computer-implemented method for improving performance of cascade classifiers for protecting against computer malware may include receiving a training dataset usable to train a cascade classifier of a machine-learning classification system. A sample to add to the training dataset may be received. A weight for the sample may be calculated. The training dataset may be modified using the sample and the weight. A weighted training for the cascade classifier of the machine-learning classification system may be performed using the modified training dataset. Computer malware may be identified using the cascade classifier. In response to identifying the computer malware, a security action may be performed to protect the one or more computing devices from the computer malware. Various other methods, systems, and computer-readable media are also disclosed.