14 citations · 18 across the 6 of their papers we have counts for
6 papers
Bio-Inspired Adversarial Attack Against Deep Neural Networks
Bowei Xi, Yujie Chen, Fan Fei +2
The paper develops a new adversarial attack against deep neural networks (DNN), based on applying bio-inspired design to moving physical objects. To the best of our knowledge, this…
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges
Bowei Xi
We provide a comprehensive overview of adversarial machine learning focusing on two application domains, i.e., cybersecurity and computer vision. Research in adversarial machine le…
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions
Juan Shu, Bowei Xi, Charles Kamhoua
Deep neural network (DNN) is a popular model implemented in many systems to handle complex tasks such as image classification, object recognition, natural language processing etc.…
Breaking Transferability of Adversarial Samples with Randomness
Yan Zhou, Murat Kantarcioglu, Bowei Xi
We investigate the role of transferability of adversarial attacks in the observed vulnerabilities of Deep Neural Networks (DNNs). We demonstrate that introducing randomness to the…
A Likelihood Ratio Approach for Precise Discovery of Truly Relevant Protein Markers
Lin-Yang Cheng, Bowei Xi
The process of biomarker discovery is typically lengthy and costly, involving the phases of discovery, qualification, verification, and validation before clinical evaluation. Being…
A Grid Based Adversarial Clustering Algorithm
Wutao Wei, Nikhil Gupta, Bowei Xi
Nowadays more and more data are gathered for detecting and preventing cyber attacks. In cyber security applications, data analytics techniques have to deal with active adversaries…