Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

50 / 6,484 papers shown

Title
Adversarial Label Learning Chidubem Arachie Bert Huang 6 22 0 22 May 2018
Adversarially Robust Training through Structured Gradient Regularization Kevin Roth Aurélien Lucchi Sebastian Nowozin Thomas Hofmann 14 23 0 22 May 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 174 302 0 21 May 2018
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference Ruying Bao Sihang Liang Qingcan Wang GAN AAML 11 13 0 21 May 2018
Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks Jiefeng Chen Xi Wu Vaibhav Rastogi Yingyu Liang S. Jha AAML 12 22 0 20 May 2018
Resisting Large Data Variations via Introspective Transformation Network Yunhan Zhao Ye Tian Charless C. Fowlkes Wei Shen Alan Yuille 20 1 0 16 May 2018
Towards Robust Neural Machine Translation Yong Cheng Zhaopeng Tu Fandong Meng Junjie Zhai Yang Liu AAML 9 161 0 16 May 2018
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing Jingyi Wang Jun Sun Peixin Zhang Xinyu Wang AAML 9 41 0 14 May 2018
Curriculum Adversarial Training Qi-Zhi Cai Min Du Chang-rui Liu D. Song AAML 11 159 0 13 May 2018
Breaking Transferability of Adversarial Samples with Randomness Yan Zhou Murat Kantarcioglu B. Xi AAML 11 12 0 11 May 2018
Deep Nets: What have they ever done for Vision? Alan Yuille Chenxi Liu 12 100 0 10 May 2018
On Visual Hallmarks of Robustness to Adversarial Malware Alex Huang Abdullah Al-Dujaili Erik Hemberg Una-May O’Reilly AAML 17 7 0 09 May 2018
PRADA: Protecting against DNN Model Stealing Attacks Mika Juuti S. Szyller Samuel Marchal Nadarajah Asokan SILM AAML 17 439 0 07 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar A. Madry OOD AAML 9 783 0 30 Apr 2018
Towards Fast Computation of Certified Robustness for ReLU Networks Tsui-Wei Weng Huan Zhang Hongge Chen Zhao-quan Song Cho-Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel AAML 22 686 0 25 Apr 2018
Towards Dependable Deep Convolutional Neural Networks (CNNs) with Out-distribution Learning Mahdieh Abbasi Arezoo Rajabi Christian Gagné R. Bobba OODD 17 6 0 24 Apr 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 16 1,189 0 23 Apr 2018
VectorDefense: Vectorization as a Defense to Adversarial Examples V. Kabilan Brandon L. Morris Anh Totti Nguyen AAML 6 21 0 23 Apr 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018
ADef: an Iterative Algorithm to Construct Adversarial Deformations Rima Alaifari Giovanni S. Alberti Tandri Gauksson AAML 12 96 0 20 Apr 2018
Learning More Robust Features with Adversarial Training Shuangtao Li Yuanke Chen Yanlin Peng Lin Bai OOD AAML 15 23 0 20 Apr 2018
Robustness via Deep Low-Rank Representations Amartya Sanyal Varun Kanade Philip H. S. Torr P. Dokania OOD 19 16 0 19 Apr 2018
Semantic Adversarial Deep Learning S. Seshia S. Jha T. Dreossi AAML SILM 11 90 0 19 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 9 229 0 15 Apr 2018
On the Robustness of the CVPR 2018 White-Box Adversarial Example Defenses Anish Athalye Nicholas Carlini AAML 6 168 0 10 Apr 2018
Adversarial Training Versus Weight Decay A. Galloway T. Tanay Graham W. Taylor AAML 11 23 0 10 Apr 2018
Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations Alex Lamb Jonathan Binas Anirudh Goyal Dmitriy Serdyuk Sandeep Subramanian Ioannis Mitliagkas Yoshua Bengio OOD 18 43 0 07 Apr 2018
Unifying Bilateral Filtering and Adversarial Training for Robust Neural Networks Neale Ratzlaff Fuxin Li AAML FedML 17 1 0 05 Apr 2018
Adversarial Attacks and Defences Competition Alexey Kurakin Ian Goodfellow Samy Bengio Yinpeng Dong Fangzhou Liao ... Junjiajia Long Yerkebulan Berdibekov Takuya Akiba Seiya Tokui Motoki Abe AAML SILM 9 318 0 31 Mar 2018
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization Daniel Jakubovitz Raja Giryes AAML 6 208 0 23 Mar 2018
Adversarial Defense based on Structure-to-Signal Autoencoders Joachim Folz Sebastián M. Palacio Jörn Hees Damian Borth Andreas Dengel AAML 18 31 0 21 Mar 2018
A Dual Approach to Scalable Verification of Deep Networks Krishnamurthy Dvijotham Dvijotham Robert Stanforth Sven Gowal Timothy A. Mann Pushmeet Kohli 11 395 0 17 Mar 2018
Adversarial Logit Pairing Harini Kannan Alexey Kurakin Ian Goodfellow AAML 8 624 0 16 Mar 2018
Semantic Adversarial Examples Hossein Hosseini Radha Poovendran GAN AAML 17 196 0 16 Mar 2018
Large Margin Deep Networks for Classification Gamaleldin F. Elsayed Dilip Krishnan H. Mobahi Kevin Regan Samy Bengio MQ 20 281 0 15 Mar 2018
Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training Derui Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 25 29 0 14 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick D. McDaniel OOD AAML 6 502 0 13 Mar 2018
Invisible Mask: Practical Attacks on Face Recognition with Infrared Zhe Zhou Di Tang XiaoFeng Wang Weili Han Xiangyu Liu Kehuan Zhang CVBM AAML 11 103 0 13 Mar 2018
Detecting Adversarial Examples via Neural Fingerprinting Sumanth Dathathri Stephan Zheng Tianwei Yin Richard M. Murray Yisong Yue MLAU AAML 19 0 0 11 Mar 2018
Detecting Adversarial Examples - A Lesson from Multimedia Forensics Pascal Schöttle Alexander Schlögl Cecilia Pasquini Rainer Böhme AAML 9 4 0 09 Mar 2018
On Generation of Adversarial Examples using Convex Programming E. Balda Arash Behboodi R. Mathar AAML 16 13 0 09 Mar 2018
Stochastic Activation Pruning for Robust Adversarial Defense Guneet Singh Dhillon Kamyar Azizzadenesheli Zachary Chase Lipton Jeremy Bernstein Jean Kossaifi Aran Khanna Anima Anandkumar AAML 8 545 0 05 Mar 2018
Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning Sanjit Bhat David Lu Albert Kwon S. Devadas AAML 11 190 0 28 Feb 2018
Understanding and Enhancing the Transferability of Adversarial Examples Lei Wu Zhanxing Zhu Cheng Tai E. Weinan AAML SILM 20 96 0 27 Feb 2018
Robust GANs against Dishonest Adversaries Zhi Xu Chengtao Li Stefanie Jegelka AAML 32 3 0 27 Feb 2018
On the Suitability of $L_p$ -norms for Creating and Preventing Adversarial Examples Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 8 137 0 27 Feb 2018
Adversarial vulnerability for any classifier Alhussein Fawzi Hamza Fawzi Omar Fawzi AAML 14 248 0 23 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness Ziang Yan Yiwen Guo Changshui Zhang AAML 33 109 0 23 Feb 2018
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries Z. Yao A. Gholami Qi Lei Kurt Keutzer Michael W. Mahoney 19 162 0 22 Feb 2018
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans Gamaleldin F. Elsayed Shreya Shankar Brian Cheung Nicolas Papernot Alexey Kurakin Ian Goodfellow Jascha Narain Sohl-Dickstein AAML 39 260 0 22 Feb 2018