Ebrahimi, Mohammadreza, Zhang, Ning, Hu, James, Raza, Muhammad Taqi, and Chen, Hsinchun. Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model. Retrieved from https://par.nsf.gov/biblio/10287567. 2021, AAAI workshop on Robust, Secure and Efficient Machine Learning (RSEML) . Web. doi:2012.07994.

Ebrahimi, Mohammadreza, Zhang, Ning, Hu, James, Raza, Muhammad Taqi, & Chen, Hsinchun. Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model. 2021, AAAI workshop on Robust, Secure and Efficient Machine Learning (RSEML), (). Retrieved from https://par.nsf.gov/biblio/10287567. https://doi.org/2012.07994

Ebrahimi, Mohammadreza, Zhang, Ning, Hu, James, Raza, Muhammad Taqi, and Chen, Hsinchun. "Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model". 2021, AAAI workshop on Robust, Secure and Efficient Machine Learning (RSEML) (). Country unknown/Code not available. https://doi.org/2012.07994. https://par.nsf.gov/biblio/10287567.

@article{osti_10287567,
place = {Country unknown/Code not available}, title = {Binary Black-box Evasion Attacks Against Deep Learning-based Static Malware Detectors with Adversarial Byte-Level Language Model}, url = {https://par.nsf.gov/biblio/10287567}, DOI = {2012.07994}, abstractNote = {}, journal = {2021, AAAI workshop on Robust, Secure and Efficient Machine Learning (RSEML)}, author = {Ebrahimi, Mohammadreza and Zhang, Ning and Hu, James and Raza, Muhammad Taqi and Chen, Hsinchun}, editor = {null} }