528 citations · 621 across the 7 of their papers we have counts for
16 papers
A general approach to bridge the reality-gap
Michael Lomnitz, Zigfried Hampel-Arias, Nina Lopatina +1
Employing machine learning models in the real world requires collecting large amounts of data, which is both time consuming and costly to collect. A common approach to circumvent t…
Reducing audio membership inference attack accuracy to chance: 4 defenses
Michael Lomnitz, Nina Lopatina, Paul Gamble +4
It is critical to understand the privacy and robustness vulnerabilities of machine learning models, as their implementation expands in scope. In membership inference attacks, adver…
HAWC Contributions to the 36th International Cosmic Ray Conference (ICRC2019)
A. U. Abeysekara, A. Albert, R. Alfaro +127
List of proceedings from the HAWC Collaboration presented at the 36th International Cosmic Ray Conference, 24 July - 1 August 2019, Madison, Wisconsin, USA.
Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks
Felipe A. Mejia, Paul Gamble, Zigfried Hampel-Arias +4
Adversarial training was introduced as a way to improve the robustness of deep learning models to adversarial attacks. This training method improves robustness against adversarial…
All-Sky Measurement of the Anisotropy of Cosmic Rays at 10 TeV and Mapping of the Local Interstellar Magnetic Field
HAWC Collaboration, A. U. Abeysekara, R. Alfaro +400
We present the first full-sky analysis of the cosmic ray arrival direction distribution with data collected by the HAWC and IceCube observatories in the Northern and Southern hemis…
MAGIC and Fermi-LAT gamma-ray results on unassociated HAWC sources
M. L. Ahnen, S. Ansoldi, L. A. Antonelli +336
The HAWC Collaboration released the 2HWC catalog of TeV sources, in which 19 show no association with any known high-energy (HE; E > 10 GeV) or very-high-energy (VHE; E > 300 GeV)…