A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm

no code implementations • 26 Jan 2019 • Xiaolei Liu, Yuheng Luo, Xiaosong Zhang, Qingxin Zhu

Our experimental results show that both the MNIST images and the CIFAR-10 images can be perturbed to successful generate a black-box attack with 100\% probability on average.

Evolutionary Algorithms

Adversarial Samples on Android Malware Detection Systems for IoT Systems

no code implementations • 12 Feb 2019 • Xiaolei Liu, Xiaojiang Du, Xiaosong Zhang, Qingxin Zhu, Mohsen Guizani

An automated testing framework is needed to help these learning-based malware detection systems for IoT devices perform security analysis.

Android Malware Detection Malware Detection

Weighted-Sampling Audio Adversarial Example Attack

no code implementations • 26 Jan 2019 • Xiaolei Liu, Xiaosong Zhang, Kun Wan, Qingxin Zhu, Yufei Ding

In this paper, we propose~\textit{weighted-sampling audio adversarial examples}, focusing on the numbers and the weights of distortion to reinforce the attack.

Adversarial Attack Automatic Speech Recognition +3