Define Replay attack. Replay attack synonyms, Replay attack pronunciation, Replay attack translation, English dictionary definition of Replay attack. also high·jack tr.v. hi·jacked , hi·jack·ing , hi·jacks also high·jacked or high·jack·ing or hig
数据大小:27.25KB 数据时间:2020年至 2035年 数据格式:xlsx 数据作者: shi changfeng;yu yue;yao xiao;pang qinghua 引用方式: shi changfeng, yu yue, yao xiao, et al. A dataset of carbon emission projections for Yangtze River Delta Urban Agglomeration, China, 2020-2035.[DS/OL]. V1. Science Da...
This is due to the small scale of the dataset and the lack of generalizability to unseen spoofing devices. In response to the issues above, this paper proposes an Efficient Parameter Transfer Learning method based on ERes2Net, named EPTLENet, to enhance the accuracy and generalization of ...
The validation of the proposed model is done on the ASVSpoof2019 dataset to demonstrate the efficacy of the proposed approach. The proposed system outperforms existing methods, achieving a lower equal error rate (EER) of 0.015 and a reduced tandem detection cost function (t-DCF) of 0.503. The...
The proposed system has achieved an EER of 5.62% on the development dataset and 12.47% on the evaluation dataset. Keywords: Audio replay · Audio playback · Deep learning · CNN · GMM 1 Introduction Over the past few years, biometric technology has evolved tremendously. Biomet- ric ...
The ASVspoof 2017 dataset is used to train and evaluate the model. The Equal Error Rate (EER) is computed and used as a metric to evaluate model performance. The proposed system has achieved an EER of 5.62% on the development dataset and 12.47% on the evaluation dataset. 展开 ...
Experimental results on the ASVspoof2019 dataset demonstrate the superiority of the proposed methods by comparison between our systems and top-performing ones. Systems trained with the balanced focal loss perform significantly better than conventional cross-entropy loss. With complementary features, our ...
Attentive Filtering Network attains an evaluation EER of 8.99 \% \% on the ASVspoof 2017 Version 2.0 dataset. With system fusion, our best system further obtains a 30 \% \% relative improvement over the ASVspoof 2017 enhanced baseline system. 展开 ...
Questions If you have a question on how to use the dataset, you can rasie an issue in this Github reporsity. You can also contact Yuan Gong (ygong1@nd.edu).
Source:https://www.idiap.ch/dataset/replayattack Homepage Benchmarks Edit Add a new resultLink an existing benchmark TrendTaskDataset VariantBest ModelPaperCode Face Anti-Spoofing Replay-Attack Entry-V2 Papers Face Anti-Spoofing Similar Datasets ...