Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

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

50 / 6,519 papers shown

Title
Guess First to Enable Better Compression and Adversarial Robustness Sicheng Zhu Bang An Shiyu Niu AAML 18 0 0 10 Jan 2020
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach Serena Booth Ankit J. Shah Yilun Zhou J. Shah BDL 33 1 0 09 Jan 2020
Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service Dou Goodman SILM AAML 21 10 0 08 Jan 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius Runtian Zhai Chen Dan Di He Huan Zhang Boqing Gong Pradeep Ravikumar Cho-Jui Hsieh Liwei Wang OOD AAML 27 177 0 08 Jan 2020
PaRoT: A Practical Framework for Robust Deep Neural Network Training Edward W. Ayers Francisco Eiras Majd Hawasly I. Whiteside OOD 23 19 0 07 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 31 12 0 06 Jan 2020
The Human Visual System and Adversarial AI Yaoshiang Ho S. Wookey 24 2 0 05 Jan 2020
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks Xiao Zhang Dongrui Wu 21 38 0 04 Jan 2020
Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier Xin Wang 16 0 0 02 Jan 2020
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense Meng Jianhai Su Jason M. O'Kane Pooyan Jamshidi AAML 17 7 0 02 Jan 2020
Exploiting the Sensitivity of $L_2$ Adversarial Examples to Erase-and-Restore F. Zuo Qiang Zeng AAML 15 1 0 01 Jan 2020
Quantum Adversarial Machine Learning Sirui Lu L. Duan D. Deng AAML 29 100 0 31 Dec 2019
Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks Alice Lucas S. Tapia Rafael Molina Aggelos K. Katsaggelos SupR 31 0 0 30 Dec 2019
Efficient Adversarial Training with Transferable Adversarial Examples Haizhong Zheng Ziqi Zhang Juncheng Gu Honglak Lee A. Prakash AAML 24 108 0 27 Dec 2019
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 33 36 0 26 Dec 2019
Geometry-Aware Generation of Adversarial Point Clouds Yuxin Wen Jiehong Lin Ke Chen C. L. Philip Chen Kui Jia 3DPC 27 24 0 24 Dec 2019
Jacobian Adversarially Regularized Networks for Robustness Alvin Chan Yi Tay Yew-Soon Ong Jie Fu AAML 31 74 0 21 Dec 2019
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing Jinyuan Jia Xiaoyu Cao Binghui Wang Neil Zhenqiang Gong AAML 32 92 0 20 Dec 2019
Explainability and Adversarial Robustness for RNNs Alexander Hartl Maximilian Bachl J. Fabini Tanja Zseby AAML 22 32 0 20 Dec 2019
Adversarial symmetric GANs: bridging adversarial samples and adversarial networks Faqiang Liu M. Xu Guoqi Li Jing Pei Luping Shi R. Zhao AAML GAN 24 11 0 20 Dec 2019
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations Jeet Mohapatra Tsui-Wei Weng Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 18 18 0 19 Dec 2019
Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball Andrew Elliott Stephen Law Chris Russell AAML 23 4 0 19 Dec 2019
A New Ensemble Method for Concessively Targeted Multi-model Attack Ziwen He Wei Wang Xinsheng Xuan Jing Dong Tieniu Tan AAML 19 2 0 19 Dec 2019
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 31 67 0 19 Dec 2019
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 18 6 0 19 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 22 27 0 18 Dec 2019
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer AAML 28 43 0 16 Dec 2019
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator Huy Phan Yi Xie Siyu Liao Jie Chen Bo Yuan AAML 24 20 0 16 Dec 2019
Incorporating Unlabeled Data into Distributionally Robust Learning Charlie Frogner Sebastian Claici Edward Chien Justin Solomon OOD 30 26 0 16 Dec 2019
Constructing a provably adversarially-robust classifier from a high accuracy one Grzegorz Gluch R. Urbanke AAML 29 2 0 16 Dec 2019
DAmageNet: A Universal Adversarial Dataset Sizhe Chen Xiaolin Huang Zhengbao He Chengjin Sun AAML 43 9 0 16 Dec 2019
What it Thinks is Important is Important: Robustness Transfers through Input Gradients Alvin Chan Yi Tay Yew-Soon Ong AAML OOD 19 51 0 11 Dec 2019
Gabor Layers Enhance Network Robustness Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Adel Bibi Ali K. Thabet Guohao Li Pablo Arbelaez AAML 22 17 0 11 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 81 6,115 0 10 Dec 2019
Statistically Robust Neural Network Classification Benjie Wang Stefan Webb Tom Rainforth OOD AAML 24 19 0 10 Dec 2019
Training Provably Robust Models by Polyhedral Envelope Regularization Chen Liu Mathieu Salzmann Sabine Süsstrunk AAML 28 7 0 10 Dec 2019
Appending Adversarial Frames for Universal Video Attack Zhikai Chen Lingxi Xie Shanmin Pang Yong He Qi Tian AAML 25 30 0 10 Dec 2019
Feature Losses for Adversarial Robustness K. Sivamani AAML 23 0 0 10 Dec 2019
Amora: Black-box Adversarial Morphing Attack Run Wang Felix Juefei Xu Qing Guo Yihao Huang Xiaofei Xie Lei Ma Yang Liu AAML 12 45 0 09 Dec 2019
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks Y. Tan Yuval Elovici Alexander Binder AAML 16 3 0 08 Dec 2019
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness Adam Noack Isaac Ahern Dejing Dou Boyang Albert Li OOD AAML 24 10 0 07 Dec 2019
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 43 530 0 06 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations Sven Gowal Chongli Qin Po-Sen Huang taylan. cemgil Krishnamurthy Dvijotham Timothy A. Mann Pushmeet Kohli AAML OOD 29 57 0 06 Dec 2019
Detection of Face Recognition Adversarial Attacks F. V. Massoli F. Carrara Giuseppe Amato Fabrizio Falchi AAML 22 55 0 05 Dec 2019
Adversarial Risk via Optimal Transport and Optimal Couplings Muni Sreenivas Pydi Varun Jog 26 59 0 05 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 53 1,281 0 05 Dec 2019
Label-Consistent Backdoor Attacks Alexander Turner Dimitris Tsipras Aleksander Madry AAML 11 385 0 05 Dec 2019
Perfectly Parallel Fairness Certification of Neural Networks Caterina Urban M. Christakis Valentin Wüstholz Fuyuan Zhang 27 67 0 05 Dec 2019
The Search for Sparse, Robust Neural Networks J. Cosentino Federico Zaiter Dan Pei Jun Zhu AAML OOD 16 18 0 05 Dec 2019
Scratch that! An Evolution-based Adversarial Attack against Neural Networks Malhar Jere Loris Rossi Briland Hitaj Gabriela F. Cretu-Ciocarlie Giacomo Boracchi F. Koushanfar AAML 22 18 0 05 Dec 2019