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Improving Password Guessing via Representation Learning

9 October 2019

Papers citing "Improving Password Guessing via Representation Learning"

25 / 25 papers shown

Title
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem Dorjan Hitaj Giulio Pagnotta Fabio De Gaspari Sediola Ruko Briland Hitaj Luigi V. Mancini Fernando Perez-Cruz 106 6 0 06 Mar 2024
SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking Yangde Wang Weidong Qiu Weicheng Zhang Hao Tian Shujun Li 69 2 0 12 Jun 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 301 30,157 0 01 Mar 2022
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 276 5,407 0 28 Sep 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models Pouya Samangouei Maya Kabkab Rama Chellappa AAML GAN 86 1,179 0 17 May 2018
PassGAN: A Deep Learning Approach for Password Guessing Briland Hitaj Paolo Gasti G. Ateniese Fernando Perez-Cruz GAN 78 250 0 01 Sep 2017
Graph Embedding Techniques, Applications, and Performance: A Survey Palash Goyal Emilio Ferrara GNN AI4TS 139 1,730 0 08 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 230 9,568 0 31 Mar 2017
Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets Junyu Luo Yong Xu Chenwei Tang Jiancheng Lv GAN 63 58 0 29 Mar 2017
Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery T. Schlegl Philipp Seeböck S. Waldstein U. Schmidt-Erfurth Georg Langs MedIm GAN 114 2,235 0 17 Mar 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 179 1,727 0 31 Dec 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 101 435 0 14 Oct 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 202 417 0 11 Oct 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 250 10,729 0 15 Sep 2016
Sampling Generative Networks Tom White GAN 73 68 0 14 Sep 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 488 9,076 0 10 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 93 1,314 0 02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 96 142 0 31 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 72 5,305 0 25 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 314 14,032 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 113 2,365 0 19 Nov 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 486 16,916 0 20 Dec 2013
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 193 4,040 0 04 Aug 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 296 12,467 0 24 Jun 2012