In recent years, with rapid technological advancement in both computing hardware and
algorithm, Artificial Intelligence (AI) has demonstrated significant advantage over human …

Voice assistants (VA) have become prevalent on a wide range of personal devices such as
smartphones and smart speakers. As companies build voice assistants with extra …

Deep neural networks are known to be vulnerable to adversarial examples which are
carefully crafted instances to cause the models to make wrong predictions. While adversarial …

Existing efforts in audio adversarial attacks only focus on the scenarios where an adversary
has prior knowledge of the entire speech input so as to generate an adversarial example by …

基于深度神经网络的雷达像智能识别技术已经成为雷达信息处理领域的前沿和热点. 然而,
神经网络分类模型易受到对抗攻击的威胁. 攻击者可以在隐蔽的条件下误导智能目标识别模型做 …

Adversarial audio attacks can be considered as a small perturbation unperceptive to human
ears that is intentionally added to an audio signal and causes a machine learning model to …

Speech is a common and effective approach for communication between humans and
modern mobile devices such as smartphones or home hubs. The remarkable advances in …

Intelligent radar image recognition based on Deep Neural Networks (DNN) has become an
important topic in radar information processing. However, DNN models are susceptible to …

Machine learning has proved useful in many software disciplines, including computer vision,
speech and audio processing, natural language processing, robotics and some other fields …

This paper introduces a defense approach against end-to-end adversarial attacks
developed for cutting-edge speech-to-text systems. The proposed defense algorithm has …