3 papers
physics.ins-det2026
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jenni Ott, Shiva Abbaszadeh +117
The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…
cs.CR2022
Universal Fourier Attack for Time Series
Elizabeth Coda, Brad Clymer, Chance DeSmet +2
A wide variety of adversarial attacks have been proposed and explored using image and audio data. These attacks are notoriously easy to generate digitally when the attacker can dir…
cs.LG2021
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation
Chance N DeSmet, Diane J Cook
Synthetic data generation overcomes limitations of real-world machine learning. Traditional methods are valuable for augmenting costly datasets but only optimize one criterion: rea…