NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion
Loading...
Files
Permanent Link
Author/Creator
Author/Creator ORCID
Date
2020-05-26
Type of Work
Department
Program
Citation of Original Publication
Aritran Piplai, Sai Sree Laya Chukkapalli and Anupam Joshi, NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion, 6th IEEE International Conference on Big Data Security on Cloud, 26 May, 2020;
Rights
This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.