Results 131 to 140 of about 543,217 (204)

A Distributed Black-Box Adversarial Attack Based on Multi-Group Particle Swarm Optimization. [PDF]

Sensors (Basel), 2020
Suryanto N, Kang H, Kim Y, Yun Y, Larasati HT, Kim H.   +5 more
europepmc   +1 more source

Adversarial Attack Against Images Classification based on Generative Adversarial Networks

Adversarial attacks on image classification systems have always been an important problem in the field of machine learning, and generative adversarial networks (GANs), as popular models in the field of image generation, have been widely used in various ...
Yang, Yahe
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PANDA: Practical Adversarial Attack Against Network Intrusion Detection

While adversarial machine learning (AML) attacks have become prevalent in the computer vision (CV) domain, their applications in other domains, such as network intrusion detection systems (NIDS), remain limited.
Kumar, V, Kim, DD, Swain, SK, Bai, G
core   +1 more source

Adversarial attack on deep learning-based dermatoscopic image recognition systems: Risk of misdiagnosis due to undetectable image perturbations. [PDF]

Medicine (Baltimore), 2020
Allyn J, Allou N, Vidal C, Renou A, Ferdynus C.   +4 more
europepmc   +1 more source

ALA: Naturalness-aware Adversarial Lightness Attack [PDF]

Most researchers have tried to enhance the robustness of DNNs by revealing and repairing the vulnerability of DNNs with specialized adversarial examples. Parts of the attack examples have imperceptible perturbations restricted by Lp norm. However, due to
Huang, Yihao, Guo, Qing, Pu, Geguang, Juefei-Xu, Felix, Sun, Liangru, Liu, Yang, Zhu, Jiayi, Feng, Jincao   +7 more
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Dimensionally constrained adversarial attack and defense in wind power forecasting. [PDF]

PLoS One
Min Y, Jiang C, Zhang L, Wen X, Tu J, Zhang J.   +5 more
europepmc   +1 more source

Query-efficient decision-based adversarial attack with low query budget. [PDF]

Sci Rep
Tuo Y, Yin M, Che S.
europepmc   +1 more source

Adversarial attack of sequence-free enhancer prediction identifies chromatin architecture. [PDF]

Bioinformatics
Gafur J, Lang OW, Lai WKM.
europepmc   +1 more source

Hard label adversarial attack with high query efficiency against NLP models. [PDF]

Sci Rep
Qiu S, Liu Q, Zhou S, Gou M, Zeng Y, Zhang Z, Wu Z.   +6 more
europepmc   +1 more source

Low-Rank Adversarial PGD Attack

Adversarial attacks on deep neural network models have seen rapid development and are extensively used to study the stability of these networks. Among various adversarial strategies, Projected Gradient Descent (PGD) is a widely adopted method in computer
Zangrando, Emanuele, Tudisco, Francesco, Savostianova, Dayana   +2 more
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