no code implementations • 31 Oct 2019 • Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios
It is critical to understand the privacy and robustness vulnerabilities of machine learning models, as their implementation expands in scope.
no code implementations • 15 Jun 2019 • Felipe A. Mejia, Paul Gamble, Zigfried Hampel-Arias, Michael Lomnitz, Nina Lopatina, Lucas Tindall, Maria Alejandra Barrios
Adversarial training was introduced as a way to improve the robustness of deep learning models to adversarial attacks.
3 code implementations • 27 Feb 2019 • Mahesh Kumar Nandwana, Julien van Hout, Mitchell McLaren, Colleen Richey, Aaron Lawson, Maria Alejandra Barrios
The "VOiCES from a Distance Challenge 2019" is designed to foster research in the area of speaker recognition and automatic speech recognition (ASR) with the special focus on single channel distant/far-field audio, under noisy conditions.
Audio and Speech Processing Sound