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   Articles with "adversarial attacks" as a keyword



Adversarial attacks on text classification models using layer‐wise relevance propagation

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recommendations! Published in 2020 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22260

Abstract: Due to the nested nonlinear structure inside neural networks, most existing deep learning models are treated as black boxes, and they are highly vulnerable to adversarial attacks. On the one hand, adversarial examples shed light… read more here.

Keywords: layer wise; text classification; adversarial attacks; classification models ... See more keywords

Textual adversarial attacks by exchanging text‐self words

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.23083

Abstract: Adversarial attacks expose the vulnerability of deep neural networks. Compared to image adversarial attacks, textual adversarial attacks are more challenging due to the discrete nature of texts. Recent synonym‐based methods achieve the current state‐of‐the‐art results.… read more here.

Keywords: adversarial attacks; original text; textual adversarial; chaotic word ... See more keywords

Multi-resolution training improves robustness against adversarial attacks

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recommendations! Published in 2025 at "Signal, Image and Video Processing"

DOI: 10.1007/s11760-025-04038-2

Abstract: Deep neural networks (DNNs) have progressed rapidly in recent years and are increasingly deployed in real-world applications. They are now integral to critical tasks, such as traffic sign recognition in autonomous vehicles, where DNNs have… read more here.

Keywords: multi resolution; resolution training; adversarial attacks; resolution ... See more keywords

DeepEC: Adversarial attacks against graph structure prediction models

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recommendations! Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.07.126

Abstract: Abstract Inspired by the practical importance of graph structured data, link prediction, one of the most frequently applied tasks on graph data, has garnered considerable attention in recent years, and they have been widely applied… read more here.

Keywords: attack; adversarial attacks; structure; link prediction ... See more keywords

Mobile applications for skin cancer detection are vulnerable to physical camera-based adversarial attacks

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-03546-y

Abstract: Skin cancer is one of the most prevalent malignant tumors, and early detection is crucial for patient prognosis, leading to the development of mobile applications as screening tools. Recent advances in deep neural networks (DNNs)… read more here.

Keywords: detection; mobile applications; camera; skin cancer ... See more keywords

A New Threat for Pseudorange-Based RAIM: Adversarial Attacks on GNSS Positioning

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2939141

Abstract: Global Navigation Satellite System (GNSS) signals are very vulnerable to spoofing due to the low power level and opening service mode. Although pseudorange-based Receiver Autonomous Integrity Monitoring (RAIM) method performances effectively in spoofing detection and… read more here.

Keywords: pseudorange based; gnss positioning; raim; adversarial attacks ... See more keywords

Boosting 3D Adversarial Attacks with Attacking On Frequency

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3171659

Abstract: Deep neural networks (DNNs) have been shown to be vulnerable to adversarial attacks in the image domain. Recently, 3D adversarial attacks, especially adversarial attacks on point clouds, have elicited mounting interest. However, adversarial point clouds… read more here.

Keywords: adversarial attacks; point clouds; adversarial point; point cloud ... See more keywords

Strengthening Robustness Under Adversarial Attacks Using Brain Visual Codes

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3204995

Abstract: The vulnerability of computational models to adversarial examples highlights the differences in the ways humans and machines process visual information. Motivated by human perception invariance in object recognition, we aim to incorporate human brain representations… read more here.

Keywords: adversarial attacks; brain; using brain; attacks using ... See more keywords

Defensive Distillation-Based Adversarial Attack Mitigation Method for Channel Estimation Using Deep Learning Models in Next-Generation Wireless Networks

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3206385

Abstract: Future wireless networks (5G and beyond), also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks have dramatically… read more here.

Keywords: adversarial attacks; channel estimation; defensive distillation; next generation ... See more keywords

Universal Adversarial Attacks on the Raw Data From a Frequency Modulated Continuous Wave Radar

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3218349

Abstract: As more and more applications rely on Artificial Intelligence (AI), it is inevitable to explore the associated safety and security risks, especially for sensitive applications where physical integrity is at risk. One of the most… read more here.

Keywords: data frequency; adversarial attacks; universal adversarial; radar ... See more keywords

A Comprehensive Risk Analysis Method for Adversarial Attacks on Biometric Authentication Systems

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3439741

Abstract: Recent threats to deep learning-based biometric authentication systems stem from adversarial attacks exploiting vulnerabilities in deep learning models. While existing studies extensively analyze the risk of such attacks, they primarily focus on isolated modules (e.g.,… read more here.

Keywords: authentication systems; adversarial attacks; biometric authentication; comprehensive risk ... See more keywords