Exploring vulnerabilities of Transformer-based Malware Detectors to Adversarial Attacks
Please refer our paper for background, our approach and the results.
Bibtex:
@misc{https://doi.org/10.48550/arxiv.2210.00008,
doi = {10.48550/ARXIV.2210.00008},
url = {https://arxiv.org/abs/2210.00008},
author = {Jakhotiya, Yash and Patil, Heramb and Rawlani, Jugal and Mane, Dr. Sunil B.},
keywords = {Cryptography and Security (cs.CR), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Adversarial Attacks on Transformers-Based Malware Detectors},
publisher = {arXiv},
year = {2022},
}