5 citations · 5 across the 7 of their papers we have counts for
3 papers · 1 filter
Adversarial training with restricted data manipulation
David Benfield, Stefano Coniglio, Phan Tu Vuong +1
Adversarial machine learning concerns situations in which learners face attacks from active adversaries. Such scenarios arise in applications such as spam email filtering, malware…
Countering adversarial evasion in regression analysis
David Benfield, Phan Tu Vuong, Alain Zemkoho
Adversarial machine learning challenges the assumption that the underlying distribution remains consistent throughout the training and implementation of a prediction model. In part…
Primer C-VAE: An interpretable deep learning primer design method to detect emerging virus variants
Hanyu Wang, Emmanuel K. Tsinda, Anthony J. Dunn +2
Motivation: PCR is more economical and quicker than Next Generation Sequencing for detecting target organisms, with primer design being a critical step. In epidemiology with rapidl…