Distributional Smoothing with Virtual Adversarial Training

2 July 2015

Papers citing "Distributional Smoothing with Virtual Adversarial Training"

50 / 102 papers shown

Title
Unsupervised Domain Adaptation via Regularized Conditional Alignment Safa Cicek Stefano Soatto OOD 39 118 0 26 May 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks Aamir Mustafa Salman Khan Munawar Hayat Roland Göcke Jianbing Shen Ling Shao AAML 17 151 0 01 Apr 2019
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey W. Zhang Quan Z. Sheng A. Alhazmi Chenliang Li AAML 24 57 0 21 Jan 2019
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers Daniel Liu Ronald Yu Hao Su 3DPC 34 165 0 10 Jan 2019
Adversarial Sampling and Training for Semi-Supervised Information Retrieval Dae Hoon Park Yi-Ju Chang FedML 25 101 0 09 Nov 2018
Classification from Positive, Unlabeled and Biased Negative Data Yu-Guan Hsieh Gang Niu Masashi Sugiyama 22 79 0 01 Oct 2018
Semi-Supervised Sequence Modeling with Cross-View Training Kevin Clark Minh-Thang Luong Christopher D. Manning Quoc V. Le SSL 11 333 0 22 Sep 2018
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples Deqiang Li Ramesh Baral Tao Li Han Wang Qianmu Li Shouhuai Xu AAML 28 21 0 18 Sep 2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction Jianguo Zhang Ji Wang Lifang He Zhao Li Philip S. Yu 29 31 0 11 Sep 2018
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 30 86 0 31 Aug 2018
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training Xu Han Zhiyuan Liu Maosong Sun 30 16 0 28 May 2018
Defending Against Adversarial Attacks by Leveraging an Entire GAN G. Santhanam Paulina Grnarova AAML 16 40 0 27 May 2018
Adversarially Robust Training through Structured Gradient Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann 30 23 0 22 May 2018
Towards Robust Neural Machine Translation Yong Cheng Zhaopeng Tu Fandong Meng Junjie Zhai Yang Liu AAML 25 161 0 16 May 2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text Motoki Sato Jun Suzuki Hiroyuki Shindo Yuji Matsumoto 24 188 0 08 May 2018
VectorDefense: Vectorization as a Defense to Adversarial Examples V. Kabilan Brandon L. Morris Anh Totti Nguyen AAML 22 21 0 23 Apr 2018
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the $L_0$ Norm Wenjie Ruan Min Wu Youcheng Sun Xiaowei Huang Daniel Kroening Marta Kwiatkowska AAML 15 38 0 16 Apr 2018
The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples Ayse Elvan Aydemir A. Temi̇zel T. Taşkaya-Temizel AAML 19 30 0 28 Mar 2018
Speech Recognition: Keyword Spotting Through Image Recognition Sanjay Krishna Gouda S. Kanetkar David J. Harrison Manfred K. Warmuth 30 22 0 10 Mar 2018
Protecting JPEG Images Against Adversarial Attacks Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 28 34 0 02 Mar 2018
Adversarial Texts with Gradient Methods Zhitao Gong Wenlu Wang Yangqiu Song D. Song Wei-Shinn Ku AAML 34 77 0 22 Jan 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 13 191 0 31 Dec 2017
ReabsNet: Detecting and Revising Adversarial Examples Jiefeng Chen Zihang Meng Changtian Sun Weiliang Tang Yinglun Zhu AAML GAN 29 4 0 21 Dec 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 26 249 0 30 Nov 2017
A Semantic Loss Function for Deep Learning with Symbolic Knowledge Jingyi Xu Zilu Zhang Tal Friedman Yitao Liang Mathias Niepert 46 446 0 29 Nov 2017
Adversarial Dropout Regularization Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada Kate Saenko GAN 25 284 0 05 Nov 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 58 855 0 29 Oct 2017
Binary Classification from Positive-Confidence Data Takashi Ishida Gang Niu Masashi Sugiyama 38 56 0 19 Oct 2017
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning B. Rouhani Mohammad Samragh Mojan Javaheripi T. Javidi F. Koushanfar AAML 12 15 0 08 Sep 2017
Learning to Compose Domain-Specific Transformations for Data Augmentation Alexander J. Ratner Henry R. Ehrenberg Zeshan Hussain Jared A. Dunnmon Christopher Ré 39 347 0 06 Sep 2017
Adversarial Dropout for Supervised and Semi-supervised Learning Sungrae Park Jun-Keon Park Su-Jin Shin Il-Chul Moon GAN 35 174 0 12 Jul 2017
Learning Loss Functions for Semi-supervised Learning via Discriminative Adversarial Networks Cicero Nogueira dos Santos Kahini Wadhawan Bowen Zhou GAN 30 30 0 07 Jul 2017
Learning by Association - A versatile semi-supervised training method for neural networks Philip Häusser A. Mordvintsev Daniel Cremers BDL 25 121 0 03 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 32 100 0 02 Jun 2017
Good Semi-supervised Learning that Requires a Bad GAN Zihang Dai Zhilin Yang Fan Yang William W. Cohen Ruslan Salakhutdinov GAN 22 481 0 27 May 2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference Abhishek Kumar P. Sattigeri P. T. Fletcher GAN 23 42 0 24 May 2017
Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN Hyeungill Lee Sungyeob Han Jungwoo Lee AAML GAN 8 149 0 09 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 86 798 0 28 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 33 2,720 0 13 Apr 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 23 28 0 03 Apr 2017
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems Hossein Hosseini Yize Chen Sreeram Kannan Baosen Zhang Radha Poovendran AAML 30 106 0 13 Mar 2017
Triple Generative Adversarial Nets Chongxuan Li T. Xu Jun Zhu Bo Zhang GAN 42 449 0 07 Mar 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 41 446 0 28 Feb 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities Guo-Jun Qi GAN 27 350 0 23 Jan 2017
Dense Associative Memory is Robust to Adversarial Inputs Dmitry Krotov J. Hopfield AAML 31 111 0 04 Jan 2017
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 32 42 0 22 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 298 3,113 0 04 Nov 2016
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches E. Rodner Marcel Simon Robert B. Fisher Joachim Denzler 22 39 0 21 Oct 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 90 2,524 0 07 Oct 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 161 8,937 0 10 Jun 2016