Hassan Takabi

Effectiveness of Adversarial Examples and Defenses for Malware\n Classification

2019 · arXiv (Cornell University)

Artificial neural networks have been successfully used for many different\nclassification tasks including malware detection and distinguishing between\nmalicious and non-malicious programs. Although artificial neural networks\nperform very well on these tasks, they are also vulnerable to adversarial\nexamples. …