Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics

2017 IEEE International Conference on Computer Vision (ICCV) ◽

10.1109/iccv.2017.615 ◽

2017 ◽

Cited By ~ 60

Author(s):

Xin Li ◽

Fuxin Li

Keyword(s):

Deep Networks ◽

Adversarial Examples

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Deep Networks with RBF Layers to Prevent Adversarial Examples

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-91253-0_25 ◽

2018 ◽

pp. 257-266

Author(s):

Petra Vidnerová ◽

Roman Neruda

Keyword(s):

Deep Networks ◽

Adversarial Examples

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Verifying Controllers Against Adversarial Examples with Bayesian Optimization

2018 IEEE International Conference on Robotics and Automation (ICRA) ◽

10.1109/icra.2018.8460635 ◽

2018 ◽

Cited By ~ 7

Author(s):

Shromona Ghosh ◽

Felix Berkenkamp ◽

Gireeja Ranade ◽

Shaz Qadeer ◽

Ashish Kapoor

Keyword(s):

Bayesian Optimization ◽

Adversarial Examples

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Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples

Proceedings of the 28th ACM International Conference on Multimedia ◽

10.1145/3394171.3413976 ◽

2020 ◽

Author(s):

Xiaojun Jia ◽

Xingxing Wei ◽

Xiaochun Cao ◽

Xiaoguang Han

Keyword(s):

Adversarial Examples

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Joint Deep Networks based Multi-source Feature Learning for QoS Prediction

IEEE Transactions on Services Computing ◽

10.1109/tsc.2021.3050178 ◽

2021 ◽

pp. 1-1

Author(s):

Youhao Xia ◽

Ding Ding ◽

Zhenhua Chang ◽

Fan Li

Keyword(s):

Feature Learning ◽

Qos Prediction ◽

Deep Networks

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Variational Methods for Machine Learning with Applications to Deep Networks

10.1007/978-3-030-70679-1 ◽

2021 ◽

Author(s):

Lucas Pinheiro Cinelli ◽

Matheus Araújo Marins ◽

Eduardo Antônio Barros da Silva ◽

Sérgio Lima Netto

Keyword(s):

Machine Learning ◽

Variational Methods ◽

Deep Networks

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Error Diffusion Halftoning Against Adversarial Examples

10.1109/icip42928.2021.9506591 ◽

2021 ◽

Author(s):

Shao-Yuan Lo ◽

Vishal M. Patel

Keyword(s):

Error Diffusion ◽

Adversarial Examples

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Bayesian deep networks for absolute permeability and porosity uncertainty prediction from image borehole logs from brazilian carbonate reservoirs

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2021.108361 ◽

2021 ◽

pp. 108361

Author(s):

Clécio R. Bom ◽

Manuel Blanco Valentín ◽

Bernardo M.O. Fraga ◽

Jorge Campos ◽

Bernardo Coutinho ◽

...

Keyword(s):

Carbonate Reservoirs ◽

Absolute Permeability ◽

Uncertainty Prediction ◽

Deep Networks ◽

Borehole Logs

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A Statistical Defense Approach for Detecting Adversarial Examples

Proceedings of the 2020 International Conference on Pattern Recognition and Intelligent Systems ◽

10.1145/3415048.3416103 ◽

2020 ◽

Author(s):

Alessandro Cennamo ◽

Ido Freeman ◽

Anton Kummert

Keyword(s):

Adversarial Examples

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Deep Networks Under Block-Level Supervision for Pixel-Level Cloud Detection in Multi-Spectral Satellite Imagery

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9324486 ◽

2020 ◽

Author(s):

Wei Chen ◽

Yansheng Li ◽

Yongjun Zhang ◽

Xiaolong Hao

Keyword(s):

Satellite Imagery ◽

Cloud Detection ◽

Deep Networks ◽

Block Level

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Exploring Data Correlation between Feature Pairs for Generating Constraint-based Adversarial Examples

2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS) ◽

10.1109/icpads51040.2020.00064 ◽

2020 ◽

Author(s):

Yunzhe Tian ◽

Yingdi Wang ◽

Endong Tong ◽

Wenjia Niu ◽

Liang Chang ◽

...

Keyword(s):

Data Correlation ◽

Adversarial Examples

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