NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion

20 February 2020

Papers citing "NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion"

4 / 4 papers shown

Title
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 67 675 0 17 Sep 2019
Detecting egregious responses in neural sequence-to-sequence models Tianxing He James R. Glass AAML 56 22 0 11 Sep 2018
Robust Physical-World Attacks on Deep Learning Models Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Chaowei Xiao Atul Prakash Tadayoshi Kohno D. Song AAML 54 595 0 27 Jul 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014