activity
20192023
most citedOn the Interpretability of Deep Learning Based Models for Knowledge Tracing

9 citations · 21 across the 7 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.CR2023★ 1 cited

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…

quant-ph2023★ 1 cited

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…