6 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
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…
eess.IV2020★ 3 cited
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…
cs.LG2020★ 6 cited
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…