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
Analysis of Adversarial Examples
The rise of artificial intelligence (AI) has significantly impacted the field of computer vision (CV). In particular, deep learning (DL) has advanced the development of algorithms that comprehend visual data. In specific tasks, DL exhibits human capabilities and is impacting our everyday lives such as virtual assistants, entertainment or web searches ...
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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
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples. [PDF]
Caro JO +6 more
europepmc +1 more source
Low Uncertainty Adversarial Examples
Neural networks are vulnerable to adversarial attacks. Adversarial samples are samples that have a small perturbation compared to the original input they were create from, but are misclassified by the attacked neural network. In the case of images, adversarial examples are generally indistinguishable from the original image by human perception.
openaire +1 more source
Query-efficient decision-based adversarial attack with low query budget. [PDF]
Tuo Y, Yin M, Che S.
europepmc +1 more source
Localized Query Attack Toward Transformer-Based Visible Object Detectors. [PDF]
Wang Y, Li A, Yang Z, Liu X.
europepmc +1 more source

