PassGAN: A Deep Learning Approach for Password Guessing

1 September 2017

Papers citing "PassGAN: A Deep Learning Approach for Password Guessing"

50 / 57 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 74 5 0 06 Mar 2024
SE#PCFG: Semantically Enhanced PCFG for Password Analysis and Cracking Yangde Wang Weidong Qiu Weicheng Zhang Hao Tian Shujun Li 36 2 0 12 Jun 2023
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization Yanshuai Cao G. Ding Kry Yik-Chau Lui Ruitong Huang GAN 34 19 0 09 May 2018
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect Xiang Wei Boqing Gong Zixia Liu W. Lu Liqiang Wang GAN 87 261 0 05 Mar 2018
cGANs with Projection Discriminator Takeru Miyato Masanori Koyama GAN 61 768 0 15 Feb 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 88 1,478 0 04 Jan 2018
Sobolev GAN Youssef Mroueh Chun-Liang Li Tom Sercu Anant Raj Yu Cheng 29 117 0 14 Nov 2017
Training GANs with Optimism C. Daskalakis Andrew Ilyas Vasilis Syrgkanis Haoyang Zeng 95 514 0 31 Oct 2017
On the regularization of Wasserstein GANs Henning Petzka Asja Fischer Denis Lukovnikov GAN 41 210 0 26 Sep 2017
Efficient Defenses Against Adversarial Attacks Valentina Zantedeschi Maria-Irina Nicolae Ambrish Rawat AAML 35 297 0 21 Jul 2017
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong Warren He James Wei Xinyun Chen Nicholas Carlini D. Song AAML 66 242 0 15 Jun 2017
Gradient descent GAN optimization is locally stable Vaishnavh Nagarajan J. Zico Kolter GAN 62 348 0 13 Jun 2017
The Numerics of GANs L. Mescheder Sebastian Nowozin Andreas Geiger GAN 75 456 0 30 May 2017
Fisher GAN Youssef Mroueh Tom Sercu GAN AI4CE 44 132 0 26 May 2017
Stabilizing Training of Generative Adversarial Networks through Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann GAN 48 444 0 25 May 2017
LOGAN: Membership Inference Attacks Against Generative Models Jamie Hayes Luca Melis G. Danezis Emiliano De Cristofaro 64 104 0 22 May 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 103 1,851 0 20 May 2017
Delving into adversarial attacks on deep policies Jernej Kos D. Song AAML 49 224 0 18 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 141 9,509 0 31 Mar 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks David Berthelot Tom Schumm Luke Metz GAN 95 1,153 0 31 Mar 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks Taeksoo Kim Moonsu Cha Hyunsoo Kim Jung Kwon Lee Jiwon Kim GAN OOD 80 1,979 0 15 Mar 2017
McGan: Mean and Covariance Feature Matching GAN Youssef Mroueh Tom Sercu Vaibhava Goel GAN 44 159 0 27 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 107 1,385 0 24 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 143 4,822 0 26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 77 2,102 0 17 Jan 2017
AdaGAN: Boosting Generative Models Ilya O. Tolstikhin Sylvain Gelly Olivier Bousquet Carl-Johann Simon-Gabriel Bernhard Schölkopf GAN 36 226 0 09 Jan 2017
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks Han Zhang Tao Xu Hongsheng Li Shaoting Zhang Xiaogang Wang Xiaolei Huang Dimitris N. Metaxas GAN 92 2,717 0 10 Dec 2016
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 73 223 0 14 Nov 2016
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 126 1,727 0 08 Nov 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 209 4,075 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 82 1,798 0 09 Sep 2016
Defensive Distillation is Not Robust to Adversarial Examples Nicholas Carlini D. Wagner 35 339 0 14 Jul 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 170 6,069 0 01 Jul 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 140 4,224 0 12 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 383 8,999 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 93 1,648 0 02 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 340 18,300 0 27 May 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 84 1,735 0 24 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 69 3,947 0 24 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 232 13,968 0 19 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 48 3,061 0 14 Nov 2015
Giraffe: Using Deep Reinforcement Learning to Play Chess Matthew Lai 30 108 0 04 Sep 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 79 2,241 0 18 Jun 2015
Jointly Modeling Embedding and Translation to Bridge Video and Language Yingwei Pan Tao Mei Ting Yao Houqiang Li Y. Rui 68 534 0 07 May 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 93 844 0 10 Feb 2015
Text Understanding from Scratch Xiang Zhang Yann LeCun 59 557 0 05 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 896 149,474 0 22 Dec 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue Lisa Anne Hendricks Marcus Rohrbach Subhashini Venugopalan S. Guadarrama Kate Saenko Trevor Darrell VLM 121 6,046 0 17 Nov 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 210 10,365 0 06 Nov 2014