Research on adversarial attack and defense of photovoltaic power prediction
Dianzi Jishu YingyongDeep neural networks have been widely used in photovoltaic power prediction, but they are vulnerable to adversarial attacks. In order to improve the robustness of the prediction model, an adversarial attack algorithm based on fast gradient sign method ...
Zhou Wang
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Adversarial Attacks Against World Models: Hallucination-Driven Policy Failure
Applied SciencesWorld models have demonstrated powerful environment modeling capabilities in scenarios such as autonomous driving and robotics, but their adversarial security issues remain underexplored, in particular, adversarial risk analysis of world models.
Junjian Zhang +4 more
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Adversarial Color Film: Effective Physical-World Attack to DNNs [PDF]
, 2023 It is well known that the performance of deep neural networks (DNNs) is susceptible to subtle interference. So far, camera-based physical adversarial attacks haven't gotten much attention, but it is the vacancy of physical attack.
Shi, Weiwen, Hu, Chengyin
core
DLSF:A Textual Adversarial Attack Method Based on Dual-level Semantic Filtering [PDF]
Jisuanji kexueIn the field of commercial applications,deep learning-based text models play a crucial role but are also susceptible to adversarial samples,such as the incorporation of confusing vocabulary into reviews leading to erroneous model responses.A strong ...
XIONG Xi, DING Guangzheng, WANG Juan, ZHANG Shuai
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Adversarial Attack and Defense in Breast Cancer Deep Learning Systems. [PDF]
Bioengineering (Basel), 2023 Li Y, Liu S.
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Image classification adversarial attack with improved resizing transformation and ensemble models. [PDF]
PeerJ Comput Sci, 2023 Li C, Zhang H, Yang B, Wang J.
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Attack-resilient framework for wind power forecasting against civil and adversarial attacks
Attack-resilient framework for wind power forecasting against civil and adversarial ...
MR Islam (9872390) +4 more
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Attack-Agnostic Adversarial Detection
, 2022 The growing number of adversarial attacks in recent years gives attackers an advantage over defenders, as defenders must train detectors after knowing the types of attacks, and many models need to be maintained to ensure good performance in detecting any
Cheng, Jiaxin +3 more
core
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing. [PDF]
BMC Med Inform Decis Mak, 2023 Yu J, Qiu K, Wang P, Su C, Fan Y, Cao Y.
europepmc +1 more source
Improving the adversarial transferability with relational graphs ensemble adversarial attack. [PDF]
Front Neurosci, 2022 Pi J, Luo C, Xia F, Jiang N, Wu H, Wu Z.
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