[图书][B] Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence
A significant robustness gap exists between machine intelligence and human perception
despite recent advances in deep learning. Deep learning is not provably secure. A critical …
despite recent advances in deep learning. Deep learning is not provably secure. A critical …
Game theoretical adversarial deep learning
This chapter summarizes the game theoretical strategies for generating adversarial
manipulations. The adversarial learning objective for our adversaries is assumed to be to …
manipulations. The adversarial learning objective for our adversaries is assumed to be to …
Combating the instability of mutual information-based losses via regularization
Notable progress has been made in numerous fields of machine learning based on neural
network-driven mutual information (MI) bounds. However, utilizing the conventional MI …
network-driven mutual information (MI) bounds. However, utilizing the conventional MI …
[图书][B] Hot, then cold: Predicting hypothesis revision strategies across development with rational process models
RA Gelpi - 2020 - search.proquest.com
This research explores the hypothesis revision strategies of adults and children, and
develops two computational models of Bayesian inference that predict distinct patterns of …
develops two computational models of Bayesian inference that predict distinct patterns of …