37 citations · 82 across the 6 of their papers we have counts for
4 papers · 1 filter
Adversarial Robustness Assessment: Why both and Attacks Are Necessary
Shashank Kotyan, Danilo Vasconcellos Vargas
There exists a vast number of adversarial attacks and defences for machine learning algorithms of various types which makes assessing the robustness of algorithms a daunting task.…
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis
Danilo Vasconcellos Vargas, Jiawei Su
Deep neural networks were shown to be vulnerable to single pixel modifications. However, the reason behind such phenomena has never been elucidated. Here, we propose Propagation Ma…
Universal Rules for Fooling Deep Neural Networks based Text Classification
Di Li, Danilo Vasconcellos Vargas, Sakurai Kouichi
Recently, deep learning based natural language processing techniques are being extensively used to deal with spam mail, censorship evaluation in social networks, among others. Howe…
Contingency Training
Danilo Vasconcellos Vargas, Hirotaka Takano, Junichi Murata
When applied to high-dimensional datasets, feature selection algorithms might still leave dozens of irrelevant variables in the dataset. Therefore, even after feature selection has…