Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

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

50 / 6,520 papers shown

Title
The Conditional Entropy Bottleneck Ian S. Fischer OOD 29 117 0 13 Feb 2020
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation Yue Xing Qifan Song Guang Cheng 12 6 0 13 Feb 2020
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization Xiangning Chen Cho-Jui Hsieh 37 203 0 12 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 39 486 0 12 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Lin Chen Yifei Min Mingrui Zhang Amin Karbasi OOD 38 64 0 11 Feb 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 22 89 0 11 Feb 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations Florian Tramèr Jens Behrmann Nicholas Carlini Nicolas Papernot J. Jacobsen AAML SILM 6 92 0 11 Feb 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks Ginevra Carbone Matthew Wicker Luca Laurenti A. Patané Luca Bortolussi G. Sanguinetti AAML 40 77 0 11 Feb 2020
Improving the affordability of robustness training for DNNs Sidharth Gupta Parijat Dube Ashish Verma AAML 27 15 0 11 Feb 2020
Generalised Lipschitz Regularisation Equals Distributional Robustness Zac Cranko Zhan Shi Xinhua Zhang Richard Nock Simon Kornblith OOD 26 20 0 11 Feb 2020
Playing to Learn Better: Repeated Games for Adversarial Learning with Multiple Classifiers P. Dasgupta J. B. Collins Michael McCarrick AAML 27 1 0 10 Feb 2020
Adversarial Data Encryption Yingdong Hu Liang Zhang W. Shan Xiaoxiao Qin Jinghuai Qi Zhenzhou Wu Yang Yuan FedML MedIm 23 0 0 10 Feb 2020
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection Quanyu Liao Xin Wang Bin Kong Siwei Lyu Youbing Yin Qi Song Xi Wu AAML 20 8 0 10 Feb 2020
$Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images$ Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images Avrim Blum Travis Dick N. Manoj Hongyang R. Zhang AAML 31 79 0 10 Feb 2020
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 94 84 0 09 Feb 2020
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness Aounon Kumar Alexander Levine Tom Goldstein Soheil Feizi 22 94 0 08 Feb 2020
Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks Lu Chen Wenyuan Xu AAML 27 21 0 08 Feb 2020
Analysis of Random Perturbations for Robust Convolutional Neural Networks Adam Dziedzic S. Krishnan OOD AAML 29 1 0 08 Feb 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 47 97 0 07 Feb 2020
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness Ting-Wu Chin Cha Zhang Diana Marculescu AAML 18 1 0 07 Feb 2020
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification Meet P. Vadera Satya Narayan Shukla B. Jalaeian Benjamin M. Marlin AAML BDL 23 6 0 07 Feb 2020
RAID: Randomized Adversarial-Input Detection for Neural Networks Hasan Ferit Eniser M. Christakis Valentin Wüstholz AAML 25 15 0 07 Feb 2020
AI-GAN: Attack-Inspired Generation of Adversarial Examples Tao Bai Jun Zhao Jinlin Zhu Shoudong Han Jiefeng Chen Yue Liu Alex C. Kot GAN 39 48 0 06 Feb 2020
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study David Mickisch F. Assion Florens Greßner W. Günther M. Motta AAML 19 34 0 05 Feb 2020
Minimax Defense against Gradient-based Adversarial Attacks Blerta Lindqvist R. Izmailov AAML 19 0 0 04 Feb 2020
Regularizers for Single-step Adversarial Training S. VivekB. R. Venkatesh Babu AAML 30 7 0 03 Feb 2020
Towards Sharper First-Order Adversary with Quantized Gradients Zhuanghua Liu Ivor W. Tsang AAML 27 0 0 01 Feb 2020
Last Iterate is Slower than Averaged Iterate in Smooth Convex-Concave Saddle Point Problems Noah Golowich S. Pattathil C. Daskalakis Asuman Ozdaglar 6 103 0 31 Jan 2020
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views Milad Sefidgaran Iñaki Estella Aguerri S. Shamai 8 89 0 31 Jan 2020
Local intrinsic dimensionality estimators based on concentration of measure Jonathan Bac A. Zinovyev 6 9 0 31 Jan 2020
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers Xiao Zhang Dongrui Wu L. Ding Hanbin Luo Chin-Teng Lin T. Jung Ricardo Chavarriaga AAML 22 59 0 30 Jan 2020
Adversarial Attacks on Convolutional Neural Networks in Facial Recognition Domain Yigit Can Alparslan Ken Alparslan Jeremy Keim-Shenk S. Khade Rachel Greenstadt AAML 6 14 0 30 Jan 2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild Rahul Duggal Scott Freitas Cao Xiao Duen Horng Chau Jimeng Sun 28 22 0 29 Jan 2020
Explaining with Counter Visual Attributes and Examples Sadaf Gulshad A. Smeulders XAI FAtt AAML 30 15 0 27 Jan 2020
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles Yilan Li Senem Velipasalar AAML 14 7 0 25 Jan 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks Oliver Willers Sebastian Sudholt Shervin Raafatnia Stephanie Abrecht 28 80 0 22 Jan 2020
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities Zhongruo Wang Krishnakumar Balasubramanian Shiqian Ma Meisam Razaviyayn 32 25 0 22 Jan 2020
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems Yanmao Man Ming Li Ryan M. Gerdes AAML 27 8 0 21 Jan 2020
HRFA: High-Resolution Feature-based Attack Jia Cai Sizhe Chen Peidong Zhang Chengjin Sun Xiaolin Huang AAML 35 0 0 21 Jan 2020
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks F. Behnia Ali Mirzaeian Mohammad Sabokrou S. Manoj T. Mohsenin Khaled N. Khasawneh Liang Zhao Houman Homayoun Avesta Sasan AAML 16 15 0 16 Jan 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 21 64 0 16 Jan 2020
A Little Fog for a Large Turn Harshitha Machiraju V. Balasubramanian AAML 17 9 0 16 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 31 104 0 16 Jan 2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning R. Schuster Tal Schuster Yoav Meri Vitaly Shmatikov AAML 6 39 0 14 Jan 2020
Smooth markets: A basic mechanism for organizing gradient-based learners David Balduzzi Wojciech M. Czarnecki Thomas W. Anthony I. Gemp Edward Hughes Joel Z Leibo Georgios Piliouras T. Graepel 22 15 0 14 Jan 2020
Advbox: a toolbox to generate adversarial examples that fool neural networks Dou Goodman Xin Hao Yang Wang Yuesheng Wu Junfeng Xiong Huan Zhang AAML 17 53 0 13 Jan 2020
On the Resilience of Biometric Authentication Systems against Random Inputs Benjamin Zi Hao Zhao Hassan Jameel Asghar M. Kâafar AAML 39 23 0 13 Jan 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 99 1,161 0 12 Jan 2020
Sparse Black-box Video Attack with Reinforcement Learning Xingxing Wei Huanqian Yan Yue Liu AAML 36 49 0 11 Jan 2020
Guess First to Enable Better Compression and Adversarial Robustness Sicheng Zhu Bang An Shiyu Niu AAML 18 0 0 10 Jan 2020