21 citations · 28 across the 5 of their papers we have counts for
5 papers
Deep Detector Health Management under Adversarial Campaigns
Javier Echauz, Keith Kenemer, Sarfaraz Hussein +4
Machine learning models are vulnerable to adversarial inputs that induce seemingly unjustifiable errors. As automated classifiers are increasingly used in industrial control system…
Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection
Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar +1
Advanced attack campaigns span across multiple stages and stay stealthy for long time periods. There is a growing trend of attackers using off-the-shelf tools and pre-installed sys…
Detecting DGA domains with recurrent neural networks and side information
Ryan R. Curtin, Andrew B. Gardner, Slawomir Grzonkowski +2
Modern malware typically makes use of a domain generation algorithm (DGA) to avoid command and control domains or IPs being seized or sinkholed. This means that an infected system…
Enabling Trust in Deep Learning Models: A Digital Forensics Case Study
Aditya K, Slawomir Grzonkowski, Nhien An Lekhac
Today, the volume of evidence collected per case is growing exponentially, to address this problem forensics investigators are looking for investigation process with tools built on…
On Detecting Messaging Abuse in Short Text Messages using Linguistic and Behavioral patterns
Alejandro Mosquera, Lamine Aouad, Slawomir Grzonkowski +1
The use of short text messages in social media and instant messaging has become a popular communication channel during the last years. This rising popularity has caused an incremen…