no code implementations • 19 Jan 2022 • Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown, Oscar Hill, Cecilia Mascolo, Anil Madhavapeddy
Consequently, they are susceptible to a multiplicity of attacks across the hardware, software, and networking stacks used that can leak users' brainwave data or at worst relinquish control of BCI-assisted devices to remote attackers.
no code implementations • 21 Jul 2021 • Lorena Qendro, Alexander Campbell, Pietro Liò, Cecilia Mascolo
Moreover, these pipelines are deterministic in nature, making them unable to capture predictive uncertainty.
no code implementations • 13 May 2021 • Lorena Qendro, Sangwon Ha, René de Jong, Partha Maji
Quantized neural networks (NN) are the common standard to efficiently deploy deep learning models on tiny hardware platforms.
no code implementations • 5 Apr 2021 • Tong Xia, Jing Han, Lorena Qendro, Ting Dang, Cecilia Mascolo
To handle these issues, we propose an ensemble framework where multiple deep learning models for sound-based COVID-19 detection are developed from different but balanced subsets from original data.
no code implementations • 11 Feb 2021 • Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos, Cecilia Mascolo
To meet the energy and latency requirements of these embedded platforms the framework is built from the ground up to provide predictive uncertainty based only on one forward pass and a negligible amount of additional matrix multiplications with theoretically proven correctness.