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
Walking on the Edge: Fast, Low-Distortion Adversarial Examples Hanwei Zhang Yannis Avrithis Teddy Furon Laurent Amsaleg AAML 20 45 0 04 Dec 2019
Towards Robust Image Classification Using Sequential Attention Models Daniel Zoran Mike Chrzanowski Po-Sen Huang Sven Gowal Alex Mott Pushmeet Kohli AAML 19 62 0 04 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 20 79 0 03 Dec 2019
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs Zihan Liu Lubin Meng Xiao Zhang Weili Fang Dongrui Wu AAML 19 39 0 03 Dec 2019
Cost-Aware Robust Tree Ensembles for Security Applications Yizheng Chen Shiqi Wang Weifan Jiang Asaf Cidon Suman Jana AAML OOD 14 5 0 03 Dec 2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 39 145 0 02 Dec 2019
A Method for Computing Class-wise Universal Adversarial Perturbations Tejus Gupta Abhishek Sinha Nupur Kumari M. Singh Balaji Krishnamurthy AAML 14 10 0 01 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds Abdullah Hamdi Sara Rojas Ali K. Thabet Guohao Li AAML 3DPC 36 128 0 01 Dec 2019
Design and Interpretation of Universal Adversarial Patches in Face Detection Xiao Yang Fangyun Wei Hongyang R. Zhang Jun Zhu AAML CVBM 52 43 0 30 Nov 2019
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks Yang Song Qiyu Kang Wee Peng Tay AAML 29 20 0 30 Nov 2019
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 28 968 0 29 Nov 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 34 10 0 29 Nov 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 15 14 0 28 Nov 2019
SpoC: Spoofing Camera Fingerprints D. Cozzolino Justus Thies Andreas Rossler Matthias Nießner L. Verdoliva 35 38 0 27 Nov 2019
Exploring Frequency Domain Interpretation of Convolutional Neural Networks Zhongfan Jia Chenglong Bao Kaisheng Ma FAtt 24 1 0 27 Nov 2019
Can Attention Masks Improve Adversarial Robustness? Pratik Vaishnavi Tianji Cong Kevin Eykholt A. Prakash Amir Rahmati AAML 19 12 0 27 Nov 2019
An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense Chao Tang Yifei Fan A. Yezzi AAML 11 2 0 26 Nov 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 60 1,082 0 26 Nov 2019
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua AAML 27 9 0 26 Nov 2019
Playing it Safe: Adversarial Robustness with an Abstain Option Cassidy Laidlaw S. Feizi AAML 31 20 0 25 Nov 2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples Chang Xiao Changxi Zheng AAML 25 19 0 25 Nov 2019
Improving Feature Attribution through Input-specific Network Pruning Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht S. T. Kim Nassir Navab FAtt 19 11 0 25 Nov 2019
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators Julien Girard-Satabin Guillaume Charpiat Zakaria Chihani Marc Schoenauer OOD AAML 25 2 0 25 Nov 2019
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks Minghao Guo Yuzhe Yang Rui Xu Ziwei Liu Dahua Lin AAML OOD 25 158 0 25 Nov 2019
DeepSmartFuzzer: Reward Guided Test Generation For Deep Learning Samet Demir Hasan Ferit Eniser A. Sen AAML 11 28 0 24 Nov 2019
Universal Adversarial Robustness of Texture and Shape-Biased Models Kenneth T. Co Luis Muñoz-González Leslie Kanthan Ben Glocker Emil C. Lupu 32 16 0 23 Nov 2019
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction Yantao Lu Yunhan Jia Jianyu Wang Bai Li Weiheng Chai Lawrence Carin Senem Velipasalar AAML 24 81 0 22 Nov 2019
Attack Agnostic Statistical Method for Adversarial Detection Sambuddha Saha Aashish Kumar Pratyush Sahay George Jose S. Kruthiventi Harikrishna Muralidhara AAML 13 1 0 22 Nov 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 42 564 0 21 Nov 2019
Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy Ke Sun Bin-Xia Yu Zhouchen Lin Zhanxing Zhu 20 5 0 21 Nov 2019
Controversial stimuli: pitting neural networks against each other as models of human recognition Tal Golan Prashant C. Raju N. Kriegeskorte AAML 14 39 0 21 Nov 2019
Band-limited Training and Inference for Convolutional Neural Networks Adam Dziedzic John Paparrizos S. Krishnan Aaron J. Elmore Michael Franklin 11 52 0 21 Nov 2019
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation Alexander Levine S. Feizi AAML 34 105 0 21 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks Katherine L. Hermann Ting Chen Simon Kornblith CVBM 21 21 0 20 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 37 13 0 20 Nov 2019
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method Junjie Hu Takayuki Okatani AAML MDE 43 15 0 20 Nov 2019
Deep Minimax Probability Machine Lirong He Ziyi Guo Kaizhu Huang Zenglin Xu AAML 33 2 0 20 Nov 2019
Where is the Bottleneck of Adversarial Learning with Unlabeled Data? Jingfeng Zhang Bo Han Gang Niu Tongliang Liu Masashi Sugiyama 30 6 0 20 Nov 2019
Adversarial Robustness of Flow-Based Generative Models Phillip E. Pope Yogesh Balaji S. Feizi AAML 21 20 0 20 Nov 2019
Robust Deep Neural Networks Inspired by Fuzzy Logic Minh Le OOD AAML AI4CE 33 0 0 20 Nov 2019
Defective Convolutional Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Di He Liwei Wang AAML 35 3 0 19 Nov 2019
Deep Detector Health Management under Adversarial Campaigns J. Echauz Keith Kenemer Sarfaraz Hussein Jay Dhaliwal S. Shintre Slawomir Grzonkowski Andrew B. Gardner AAML 30 0 0 19 Nov 2019
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks Alvin Chan Yew-Soon Ong AAML 25 42 0 19 Nov 2019
WITCHcraft: Efficient PGD attacks with random step size Ping Yeh-Chiang Jonas Geiping Micah Goldblum Tom Goldstein Renkun Ni Steven Reich Ali Shafahi AAML 31 11 0 18 Nov 2019
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories Zhaohui Che Ali Borji Guangtao Zhai Suiyi Ling Jing Li P. Le Callet AAML FedML 22 30 0 18 Nov 2019
Smoothed Inference for Adversarially-Trained Models Yaniv Nemcovsky Evgenii Zheltonozhskii Chaim Baskin Brian Chmiel Maxim Fishman A. Bronstein A. Mendelson AAML FedML 24 2 0 17 Nov 2019
Black-Box Adversarial Attack with Transferable Model-based Embedding Zhichao Huang Tong Zhang 19 118 0 17 Nov 2019
Defensive Few-shot Learning Wenbin Li Lei Wang Xingxing Zhang Lei Qi Jing Huo Yang Gao Jiebo Luo 28 7 0 16 Nov 2019
AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients Xiaodan Li YueFeng Chen Yuan He Hui Xue OOD AAML 19 9 0 15 Nov 2019
Self-supervised Adversarial Training Kejiang Chen Hang Zhou YueFeng Chen Xiaofeng Mao Yuhong Li Yuan He Hui Xue Weiming Zhang Nenghai Yu GAN SSL 24 23 0 15 Nov 2019