Artificial intelligence security: Threats and countermeasures
In recent years, with rapid technological advancement in both computing hardware and
algorithm, Artificial Intelligence (AI) has demonstrated significant advantage over human …
algorithm, Artificial Intelligence (AI) has demonstrated significant advantage over human …
A survey on voice assistant security: Attacks and countermeasures
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 …
smartphones and smart speakers. As companies build voice assistants with extra …
Generating 3d adversarial point clouds
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 …
carefully crafted instances to cause the models to make wrong predictions. While adversarial …
Advpulse: Universal, synchronization-free, and targeted audio adversarial attacks via subsecond perturbations
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 …
has prior knowledge of the entire speech input so as to generate an adversarial example by …
[HTML][HTML] 雷达像智能识别对抗研究进展
高勋章, 张志伟, 刘梅, 龚政辉, 黎湘 - 雷达学报, 2023 - radars.ac.cn
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 …
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 …
A robust approach for securing audio classification against adversarial attacks
M Esmaeilpour, P Cardinal… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …
ears that is intentionally added to an audio signal and causes a machine learning model to …
Adversarial examples for automatic speech recognition: Attacks and countermeasures
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 …
modern mobile devices such as smartphones or home hubs. The remarkable advances in …
[HTML][HTML] Intelligent radar image recognition countermeasures: A review
GAO Xunzhang, Z Zhiwei, LIU Mei, G Zhenghui… - 雷达学报, 2023 - radars.ac.cn
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 …
important topic in radar information processing. However, DNN models are susceptible to …
Interactive machine learning: A state of the art review
Machine learning has proved useful in many software disciplines, including computer vision,
speech and audio processing, natural language processing, robotics and some other fields …
speech and audio processing, natural language processing, robotics and some other fields …
Multidiscriminator sobolev defense-GAN against adversarial attacks for end-to-end speech systems
M Esmaeilpour, P Cardinal… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …
developed for cutting-edge speech-to-text systems. The proposed defense algorithm has …