Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Authors: Eyke Hüllermeier, Willem Waegeman | Published: 2019-10-21 | Updated: 2020-09-16
Cryptomining Makes Noise: a Machine Learning Approach for Cryptojacking Detection
Authors: Maurantonio Caprolu, Simone Raponi, Gabriele Oligeri, Roberto Di Pietro | Published: 2019-10-21 | Updated: 2020-01-28
Recovering Localized Adversarial Attacks
Authors: Jan Philip Göpfert, Heiko Wersing, Barbara Hammer | Published: 2019-10-21
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Authors: Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake | Published: 2019-10-20
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
Authors: Li Yang, Abdallah Moubayed, Ismail Hamieh, Abdallah Shami | Published: 2019-10-18 | Updated: 2022-10-05
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning
Authors: Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar | Published: 2019-10-18 | Updated: 2021-03-01
Federated Generative Privacy
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2019-10-18
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation
Authors: Anindya Sarkar, Nikhil Kumar Gupta, Raghu Iyengar | Published: 2019-10-17 | Updated: 2019-10-21
Mapper Based Classifier
Authors: Jacek Cyranka, Alexander Georges, David Meyer | Published: 2019-10-17 | Updated: 2019-10-21
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Authors: Yogesh Balaji, Tom Goldstein, Judy Hoffman | Published: 2019-10-17