9 citations · 21 across the 7 of their papers we have counts for
7 papers
CNN-Assisted Steganography -- Integrating Machine Learning with Established Steganographic Techniques
Andrew Havard, Theodore Manikas, Eric C. Larson +1
We propose a method to improve steganography by increasing the resilience of stego-media to discovery through steganalysis. Our approach enhances a class of steganographic approach…
A Programmable True Random Number Generator Using Commercial Quantum Computers
Aviraj Sinha, Elena R. Henderson, Jessie M. Henderson +2
Random number generators (RNG) are essential elements in many cryptographic systems. True random number generators (TRNG) rely upon sources of randomness from natural processes suc…
Smartphone Camera Oximetry in an Induced Hypoxemia Study
Jason S. Hoffman, Varun Viswanath, Xinyi Ding +4
Hypoxemia, a medical condition that occurs when the blood is not carrying enough oxygen to adequately supply the tissues, is a leading indicator for dangerous complications of resp…
On the Interpretability of Deep Learning Based Models for Knowledge Tracing
Xinyi Ding, Eric C. Larson
Knowledge tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep Learning based models like…
AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition
Nibhrat Lohia, Raunak Mundada, Arya D. McCarthy +1
We introduce AirWare, an in-air hand-gesture recognition system that uses the already embedded speaker and microphone in most electronic devices, together with embedded infrared pr…
Writers Gonna Wait: The Effectiveness of Notifications to Initiate Aversive Action in Writing Procrastination
Chatchai Wangwiwattana, Sunjoli Aggarwal, Eric C. Larson
This paper evaluates the use of notifications to reduce aversive-task-procrastination by helping initiate action. Specifically, we focus on aversion to graded writing tasks. We eva…