15 citations · 29 across the 4 of their papers we have counts for
4 papers
Live Trojan Attacks on Deep Neural Networks
Robby Costales, Chengzhi Mao, Raphael Norwitz +2
Like all software systems, the execution of deep learning models is dictated in part by logic represented as data in memory. For decades, attackers have exploited traditional softw…
Investigating a Deep Learning Method to Analyze Images from Multiple Gamma-ray Telescopes
Aryeh Brill, Qi Feng, T. Brian Humensky +3
Imaging atmospheric Cherenkov telescope (IACT) arrays record images from air showers initiated by gamma rays entering the atmosphere, allowing astrophysical sources to be observed…
Studying deep convolutional neural networks with hexagonal lattices for imaging atmospheric Cherenkov telescope event reconstruction
D. Nieto, A. Brill, Q. Feng +4
Deep convolutional neural networks (DCNs) are a promising machine learning technique to reconstruct events recorded by imaging atmospheric Cherenkov telescopes (IACTs), but require…
CTLearn: Deep Learning for Gamma-ray Astronomy
D. Nieto, A. Brill, Q. Feng +5
CTLearn is a new Python package under development that uses the deep learning technique to analyze data from imaging atmospheric Cherenkov telescope (IACT) arrays. IACTs use the Ch…