Our papers Critical State Detection for Adversarial Attacks in Deep Reinforcement Learning, BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram and End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices have been published at the 20th IEEE International Conference on Machine Learning and Applications (ICMLA), 2021.