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Found 8 papers, 1 papers with code
A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks
Physically unclonable functions (PUFs) identify integrated circuits using nonlinearly-related challenge-response pairs (CRPs).
CNN-Assisted Steganography -- Integrating Machine Learning with Established Steganographic Techniques
We propose a method to improve steganography by increasing the resilience of stego-media to discovery through steganalysis.
LAST: Latent Space Assisted Adaptive Sampling for Protein Trajectories
Based on this characteristic, we proposed a new adaptive sampling method, latent space assisted adaptive sampling for protein trajectories (LAST), to accelerate the exploration of protein conformational space.
Smartphone Camera Oximetry in an Induced Hypoxemia Study
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 respiratory diseases like asthma, COPD, and COVID-19.
On the Interpretability of Deep Learning Based Models for Knowledge Tracing
In previous work, we critically examined the DKT model, visualizing and analyzing the behaviors of DKT in high dimensional space.
AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air Hand-Gesture Recognition
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 proximity sensors.
Hand Gesture Recognition
Hand-Gesture Recognition
Human-Computer Interaction
Swapped Face Detection using Deep Learning and Subjective Assessment
In this study, we use deep transfer learning for face swapping detection, showing true positive rates >96% with very few false alarms.
Most Apparent Distortion: Full-Reference Image Quality Assessment and the Role of Strategy
We show that a combination of these two measures can perform well in predicting subjective ratings of image quality.
