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   Articles with "adversarial example" as a keyword



Feature autoencoder for detecting adversarial examples

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

DOI: 10.1002/int.22889

Abstract: Deep neural networks (DNNs) have gained widespread adoption in computer vision. Unfortunately, state‐of‐the‐art DNNs are vulnerable to adversarial example (AE) attacks, where an adversary introduces imperceptible perturbations to a test example for defrauding DNNs. The… read more here.

Keywords: detecting adversarial; adversarial examples; adversarial example; examples feature ... See more keywords

Dual-Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2023.3245632

Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample generated by inserting a small amount of noise into… read more here.

Keywords: method; mode; adversarial examples; deep neural ... See more keywords

NonsaliencyCrossover: A Novel Adversarial Example Generation Strategy for IDS Using Explainable AI

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3586721

Abstract: System vulnerability can be exposed through adversarial attack, facilitating the improvement of system robustness. However, existing research has predominantly focused on white-box attacks, which typically require access to system parameter information, thus limiting the attack… read more here.

Keywords: system; attack; black box; adversarial example ... See more keywords

An Adversarial Example Defense Algorithm for Intelligent Driving

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recommendations! Published in 2024 at "IEEE Network"

DOI: 10.1109/mnet.2024.3392582

Abstract: In terms of intelligent driving, the adversarial example of an attack against traffic signs will cause the vehicle to make wrong judgments and decisions. However, the existing adversarial examples of defense algorithms generally have problems… read more here.

Keywords: defense algorithm; example; adversarial example; defense ... See more keywords
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GCSA: A New Adversarial Example-Generating Scheme Toward Black-Box Adversarial Attacks

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recommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2024.3358179

Abstract: This paper focuses on the transferability problem of adversarial examples towards black-box attack scenarios wherein model information such as the neural network structure is unavailable. To tackle this predicament, we propose a new adversarial example-generating… read more here.

Keywords: scheme; adversarial example; black box; example generating ... See more keywords
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Research on an Adaptive Neural Network K-Pixel Adversarial Example Generation Algorithm

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recommendations! Published in 2021 at "Journal of Circuits, Systems and Computers"

DOI: 10.1142/s0218126622500074

Abstract: Neural network technology has achieved good results in many tasks, such as image classification. However, for some input examples of neural networks, after the addition of designed and imperceptible perturbations to the examples, these adversarial… read more here.

Keywords: neural network; adversarial example; example; example generation ... See more keywords

Denoising by Decorated Noise: An Interpretability-Based Framework for Adversarial Example Detection

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recommendations! Published in 2023 at "Wireless Communications and Mobile Computing"

DOI: 10.1155/2023/7669696

Abstract: The intelligent imaging sensors in IoT benefit a lot from the continuous renewal of deep neural networks (DNNs). However, the appearance of adversarial examples leads to skepticism about the trustworthiness of DNNs. Malicious perturbations, even… read more here.

Keywords: denoising decorated; adversarial example; framework; detection ... See more keywords

Image Adversarial Example Generation Method Based on Adaptive Parameter Adjustable Differential Evolution

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recommendations! Published in 2023 at "Entropy"

DOI: 10.3390/e25030487

Abstract: Adversarial example generation techniques for neural network models have exploded in recent years. In the adversarial attack scheme for image recognition models, it is challenging to achieve a high attack success rate with very few… read more here.

Keywords: example generation; adversarial example; differential evolution; method ... See more keywords

New Adversarial Image Detection Based on Sentiment Analysis

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recommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.48550/arxiv.2305.03173

Abstract: Deep neural networks (DNNs) are vulnerable to adversarial examples, while adversarial attack models, e.g., DeepFool, are on the rise and outrunning adversarial example detection techniques. This article presents a new adversarial example detector that outperforms… read more here.

Keywords: sentiment analysis; detection; adversarial example; new adversarial ... See more keywords