Detecting Adversarial Examples in Convolutional Neural Networks [PDF]
Stefanos Pertigkiozoglou, Petros Maragos
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Identification of Attack-Specific Signatures in Adversarial Examples [PDF]
Hossein Souri +4 more
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Cross-representation transferable adversarial examples generation for audio classification
Adversarial examples have been used as an important tool for detecting vulnerabilities in deep neural networks. The unique property of transferability enables them to deceive black-box deep neural network models.
TIAN Zilin +3 more
doaj
Learning Defense Transformers for Counterattacking Adversarial Examples [PDF]
Jincheng Li +4 more
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Enhancing Adversarial Defense via Brain Activity Integration Without Adversarial Examples. [PDF]
Nakajima T +4 more
europepmc +1 more source
Adversarial Examples on XAI-Enabled DT for Smart Healthcare Systems. [PDF]
Imam NH.
europepmc +1 more source
Optimization of Communication Signal Adversarial Examples by Selectively Preserving Low-Frequency Components of Perturbations. [PDF]
Zhang Y, Wang L, Wang X, Shi D, Bai J.
europepmc +1 more source
A Comprehensive Understanding of the Impact of Data Augmentation on the Transferability of 3D Adversarial Examples [PDF]
Fulan Qian +6 more
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Improving the Transferability of Adversarial Examples with the Adam Optimizer. [PDF]
Heng Yin +3 more
openalex
Research on Generating Adversarial Examples in Applications
Yang Zhao, Juan Wang, Yingjiang Liu
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