128 citations · 187 across the 18 of their papers we have counts for
4 papers · 1 filter
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training
Theodoros Tsiligkaridis, Jay Roberts
Deep neural networks are easily fooled by small perturbations known as adversarial attacks. Adversarial Training (AT) is a technique that approximately solves a robust optimization…
Ultrasound Diagnosis of COVID-19: Robustness and Explainability
Jay Roberts, Theodoros Tsiligkaridis
Diagnosis of COVID-19 at point of care is vital to the containment of the global pandemic. Point of care ultrasound (POCUS) provides rapid imagery of lungs to detect COVID-19 in pa…
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks
Theodoros Tsiligkaridis
Reliably assessing model confidence in deep learning and predicting errors likely to be made are key elements in providing safety for model deployment, in particular for applicatio…
Second Order Optimization for Adversarial Robustness and Interpretability
Theodoros Tsiligkaridis, Jay Roberts
Deep neural networks are easily fooled by small perturbations known as adversarial attacks. Adversarial Training (AT) is a technique aimed at learning features robust to such attac…