An Nguyen

Neural network model with fuzzy activation functions for time series predictions

2016 · Proceedings of Tomsk State University of Control Systems and Radioelectronics

This study develops neural models using fuzzy activation functions to solve the problems of time series predictions. Several fuzzy neural networks with different types of activation function are created. The paper shows the comparison result …

Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks

2021 · arXiv (Cornell University)

Progress in making neural networks more robust against adversarial attacks is mostly marginal, despite the great efforts of the research community. Moreover, the robustness evaluation is often imprecise, making it difficult to identify promising approaches. …