Toward feature space adversarial attack in the frequency domain
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23031
Abstract: Recent researchers have shown that deep neural networks (DNNs) are vulnerable to adversarial exemplars, making them unsuitable for security‐critical applications. Transferability of adversarial examples is crucial for attacking black‐box models, which facilitates adversarial attacks in… read more here.
Keywords: frequency domain; space; adversarial attack; feature space ... See more keywords
Black-Box Audio Adversarial Attack Using Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152526
Abstract: The development of artificial neural networks and artificial intelligence has helped to address problems and improve services in various fields, such as autonomous driving, image classification, medical diagnosis, and speech recognition. However, this technology has… read more here.
Keywords: black box; optimization; adversarial attack; adversarial examples ... See more keywords
Adversarial Attack Using Sparse Representation of Feature Maps
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3222531
Abstract: Deep neural networks can be fooled by small imperceptible perturbations called adversarial examples. Although these examples are carefully crafted, they involve two major concerns. In some cases, adversarial examples generated are much larger than minimal… read more here.
Keywords: adversarial examples; feature; adversarial attack; feature maps ... See more keywords
Adversarial Attack and Defence Strategies for Deep-Learning-Based IoT Device Classification Techniques
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3138541
Abstract: Concurrent advancements in machine learning (ML) and Internet of Things have allowed several interesting interdisciplinary applications, such as classification tasks based on data generated by smart devices for applications, such as security, resource allocation, activity… read more here.
Keywords: deep learning; defence; adversarial attack; classification ... See more keywords
Hyperspectral Image Classification With Adversarial Attack
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3122170
Abstract: The performance of a neural network is highly dependent on the labeled samples. However, the labeled samples are primarily clean, which prevents the network from capturing the features of the samples near the decision boundary.… read more here.
Keywords: adversarial attack; hyperspectral image; classification; boundary adversarial ... See more keywords
Attributed Scattering Center Guided Adversarial Attack for DCNN SAR Target Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3235051
Abstract: Recently, deep learning has made significant progress in synthetic aperture radar automatic target recognition (SAR ATR). However, deep convolutional neural networks (DCNNs) are discovered to be susceptible to carefully crafted adversarial perturbations. Regarding the unique… read more here.
Keywords: adversarial attack; attributed scattering; target recognition; target ... See more keywords
Physical Adversarial Attack on a Robotic Arm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3189783
Abstract: Collaborative Robots (cobots) are regarded as highly safety-critical cyber-physical systems (CPSs) owing to their close physical interactions with humans. In settings such as smart factories, they are frequently augmented with AI. For example, in order… read more here.
Keywords: robotic arm; physical adversarial; adversarial attack; attack robotic ... See more keywords
Explore Adversarial Attack via Black Box Variational Inference
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3208417
Abstract: From the perspective of probability, we propose a new method for black-box adversarial attack via black-box variational inference (BBVI), where the knowledge of victim model is unavailable. Instead of obtaining a single point, the proposed… read more here.
Keywords: via black; black box; box; adversarial attack ... See more keywords
Multiuser Adversarial Attack on Deep Learning for OFDM Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3207348
Abstract: Adversarial attack has been widely used to degrade the performance of deep learning (DL), especially in the field of communications. In this letter, we evaluate different white-box and black-box adversarial attack algorithms for a DL-based… read more here.
Keywords: adversarial attack; multiuser adversarial; box; deep learning ... See more keywords
IS-WARS: Intelligent and Stealthy Adversarial Attack to Wi-Fi-Based Human Activity Recognition Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2021.3110480
Abstract: The non-intrusive human activity recognition has been envisioned as a key enabler for many emerging applications requiring interactions between humans and computing systems. To accurately recognize different human behaviors, ubiquitous wireless signals are widely adopted,… read more here.
Keywords: recognition; human activity; adversarial attack; based human ... See more keywords
Multifeature Collaborative Adversarial Attack in Multimodal Remote Sensing Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3208337
Abstract: Deep neural networks have strong feature learning ability, but their vulnerability cannot be ignored. Current research shows that deep learning models are threatened by adversarial examples in remote sensing (RS) classification tasks, and their robustness… read more here.
Keywords: remote sensing; classification; adversarial attack; attack ... See more keywords