6 citations · 31 across the 21 of their papers we have counts for
22 papers
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication
Elliu Huang, Fabio Di Troia, Mark Stamp
Gesture-based authentication has emerged as a non-intrusive, effective means of authenticating users on mobile devices. Typically, such authentication techniques have relied on cla…
Clickbait Detection in YouTube Videos
Ruchira Gothankar, Fabio Di Troia, Mark Stamp
YouTube videos often include captivating descriptions and intriguing thumbnails designed to increase the number of views, and thereby increase the revenue for the person who posted…
Computer-Aided Diagnosis of Low Grade Endometrial Stromal Sarcoma (LGESS)
Xinxin Yang, Mark Stamp
Low grade endometrial stromal sarcoma (LGESS) is rare form of cancer, accounting for about 0.2% of all uterine cancer cases. Approximately 75% of LGESS patients are initially misdi…
Machine Learning for Malware Evolution Detection
Lolitha Sresta Tupadha, Mark Stamp
Malware evolves over time and antivirus must adapt to such evolution. Hence, it is critical to detect those points in time where malware has evolved so that appropriate countermeas…
Auxiliary-Classifier GAN for Malware Analysis
Rakesh Nagaraju, Mark Stamp
Generative adversarial networks (GAN) are a class of powerful machine learning techniques, where both a generative and discriminative model are trained simultaneously. GANs have be…
Machine Learning-Based Analysis of Free-Text Keystroke Dynamics
Han-Chih Chang, Jianwei Li, Mark Stamp
The development of active and passive biometric authentication and identification technology plays an increasingly important role in cybersecurity. Keystroke dynamics can be used t…