most citedThe Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms

4 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR20222 cited

Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces

Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown +3

Brain computing interfaces (BCI) are used in a plethora of safety/privacy-critical applications, ranging from healthcare to smart communication and control. Wearable BCI setups typ…

eess.SP2021

High Frequency EEG Artifact Detection with Uncertainty via Early Exit Paradigm

Lorena Qendro, Alexander Campbell, Pietro Liò +1

Electroencephalography (EEG) is crucial for the monitoring and diagnosis of brain disorders. However, EEG signals suffer from perturbations caused by non-cerebral artifacts limitin…

cs.LG2021

Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs

Lorena Qendro, Sangwon Ha, René de Jong +1

Quantized neural networks (NN) are the common standard to efficiently deploy deep learning models on tiny hardware platforms. However, we notice that quantized NNs are as vulnerabl…

cs.SD2021

Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data

Tong Xia, Jing Han, Lorena Qendro +2

Recently, sound-based COVID-19 detection studies have shown great promise to achieve scalable and prompt digital pre-screening. However, there are still two unsolved issues hinderi…

cs.LG20214 cited

The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms

Lorena Qendro, Jagmohan Chauhan, Alberto Gil C. P. Ramos +1

Neural networks (NNs) lack measures of "reliability" estimation that would enable reasoning over their predictions. Despite the vital importance, especially in areas of human well-…