Investigating Weight-Perturbed Deep Neural Networks With Application in
Iris Presentation Attack Detection

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Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection

21 November 2023

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Papers citing "Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection"

18 / 18 papers shown

Title
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations Yu-Lin Tsai Chia-Yi Hsu Chia-Mu Yu Pin-Yu Chen AAML OOD 54 27 0 03 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 684 41,563 0 22 Oct 2020
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition Priyanka Das Joseph McGrath Zhaoyuan Fang Aidan Boyd Ganghee Jang ... Fadi Boutros Arjan Kuijper Renu Sharma Cunjian Chen Arun Ross VLM 47 40 0 01 Sep 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors? Siddhant Garg Adarsh Kumar Vibhor Goel Yingyu Liang AAML 114 88 0 04 Aug 2020
D-NetPAD: An Explainable and Interpretable Iris Presentation Attack Detector Renu Sharma Arun Ross AAML 52 49 0 02 Jul 2020
Sensitivity Analysis of Deep Neural Networks Hai Shu Hongtu Zhu AAML 38 53 0 22 Jan 2019
Post-mortem Iris Recognition with Deep-Learning-based Image Segmentation Mateusz Trokielewicz A. Czajka P. Maciejewicz CVBM 58 75 0 07 Jan 2019
Sensitivity and Generalization in Neural Networks: an Empirical Study Roman Novak Yasaman Bahri Daniel A. Abolafia Jeffrey Pennington Jascha Narain Sohl-Dickstein AAML 99 442 0 23 Feb 2018
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations N. Cheney Martin Schrimpf Gabriel Kreiman OOD 69 45 0 23 Mar 2017
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 166 2,534 0 26 Oct 2016
Robustness of classifiers: from adversarial to random noise Alhussein Fawzi Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 108 376 0 31 Aug 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 884 36,910 0 25 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 323 6,715 0 08 Jun 2015
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability Nikolaos Karianakis Jingming Dong Stefano Soatto 53 15 0 26 May 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 284 19,145 0 20 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 295 14,978 1 21 Dec 2013

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