Results 61 to 70 of about 177,286 (215)
A Cascade Defense Method for Multidomain Adversarial Attacks under Remote Sensing Detection
Remote Sensing, 2022 Deep neural networks have been widely used in detection tasks based on optical remote sensing images. However, in recent studies, deep neural networks have been shown to be vulnerable to adversarial examples.
Wei Xue +4 more
doaj +1 more source
Contrastive Learning with Adversarial Examples
CoRR, 2020 NeurIPS ...
Chih-Hui Ho, Nuno Vasconcelos
openaire +3 more sources
Exploring Diverse Feature Extractions for Adversarial Audio Detection
IEEE Access, 2023 Although deep learning models have exhibited excellent performance in various domains, recent studies have discovered that they are highly vulnerable to adversarial attacks.
Yujin Choi +3 more
doaj +1 more source
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples [PDF]
, 2021 Adelin Travers +6 more
openalex +1 more source
On the (Un-)Avoidability of Adversarial Examples
CoRR, 2021 The phenomenon of adversarial examples in deep learning models has caused substantial concern over their reliability. While many deep neural networks have shown impressive performance in terms of predictive accuracy, it has been shown that in many instances an imperceptible perturbation can falsely flip the network's prediction.
Sadia Chowdhury, Ruth Urner
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Transferability Ranking of Adversarial Examples
CoRR, 2022 Adversarial transferability in black-box scenarios presents a unique challenge: while attackers can employ surrogate models to craft adversarial examples, they lack assurance on whether these examples will successfully compromise the target model. Until now, the prevalent method to ascertain success has been trial and error-testing crafted samples ...
Levy, Mosh +3 more
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Spatially Transformed Adversarial Examples
CoRR, 2018 Recent studies show that widely used deep neural networks (DNNs) are vulnerable to carefully crafted adversarial examples. Many advanced algorithms have been proposed to generate adversarial examples by leveraging the $\mathcal{L}_p$ distance for penalizing perturbations.
Chaowei Xiao +5 more
openaire +3 more sources
Adversarial Examples: Opportunities and Challenges [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2019 16 pages, 13 figures, 5 ...
Jiliang Zhang 0002, Chen Li
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Attack Selectivity of Adversarial Examples in Remote Sensing Image Scene Classification
IEEE Access, 2020 Remote sensing image (RSI) scene classification is the foundation and important technology of ground object detection, land use management and geographic analysis.
Li Chen +7 more
doaj +1 more source
Adversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices [PDF]
, 2021 Stanisław Kacprzak, Konrad Kowalczyk
openalex +1 more source