6 citations · 6 across the 1 of their papers we have counts for
2 papers
cs.CR2022★ 6 cited
Generating Practical Adversarial Network Traffic Flows Using NIDSGAN
Bolor-Erdene Zolbayar, Ryan Sheatsley, Patrick McDaniel +4
Network intrusion detection systems (NIDS) are an essential defense for computer networks and the hosts within them. Machine learning (ML) nowadays predominantly serves as the basi…
cs.CR2021
On the Robustness of Domain Constraints
Ryan Sheatsley, Blaine Hoak, Eric Pauley +3
Machine learning is vulnerable to adversarial examples-inputs designed to cause models to perform poorly. However, it is unclear if adversarial examples represent realistic inputs…