v1v2v3v4 (latest)

Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
Knowledge-guided Semantic Computing Network Guangming Shi Zhongqiang Zhang Dahua Gao Xuemei Xie Yihao Feng Xinrui Ma Danhua Liu 39 10 0 29 Sep 2018
Adversarial Attacks on Cognitive Self-Organizing Networks: The Challenge and the Way Forward Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 53 20 0 26 Sep 2018
Neural Networks with Structural Resistance to Adversarial Attacks Luca de Alfaro AAML 45 5 0 25 Sep 2018
Fast Geometrically-Perturbed Adversarial Faces Ali Dabouei Sobhan Soleymani J. Dawson Nasser M. Nasrabadi CVBM AAML 64 65 0 24 Sep 2018
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization Bao Wang A. Lin Weizhi Zhu Penghang Yin Andrea L. Bertozzi Stanley J. Osher AAML 41 20 0 23 Sep 2018
Playing the Game of Universal Adversarial Perturbations Julien Perolat Mateusz Malinowski Bilal Piot Olivier Pietquin AAML 69 25 0 20 Sep 2018
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Yue Liu 3DPC 117 294 0 19 Sep 2018
Model-Protected Multi-Task Learning Jian Liang Ziqi Liu Jiayu Zhou Xiaoqian Jiang Changshui Zhang Fei Wang 75 13 0 18 Sep 2018
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches Yuezun Li Xiao Bian Ming-Ching Chang Siwei Lyu AAML ObjD 78 31 0 16 Sep 2018
Robust Adversarial Perturbation on Deep Proposal-based Models Yuezun Li Dan Tian Ming-Ching Chang Xiao Bian Siwei Lyu AAML 72 106 0 16 Sep 2018
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks Siyue Wang Tianlin Li Pu Zhao Wujie Wen David Kaeli S. Chin Xinyu Lin AAML 76 70 0 13 Sep 2018
Query-Efficient Black-Box Attack by Active Learning Pengcheng Li Jinfeng Yi Lijun Zhang AAML MLAU 73 55 0 13 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 57 234 0 13 Sep 2018
Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval Zhedong Zheng Liang Zheng Yi Yang Zhilan Hu AAML 75 24 0 07 Sep 2018
A Deeper Look at 3D Shape Classifiers Jong-Chyi Su Matheus Gadelha Rui Wang Subhransu Maji 3DPC 3DV 77 103 0 07 Sep 2018
Are adversarial examples inevitable? Ali Shafahi Wenjie Huang Christoph Studer Soheil Feizi Tom Goldstein SILM 88 283 0 06 Sep 2018
Bridging machine learning and cryptography in defence against adversarial attacks O. Taran Shideh Rezaeifar Svyatoslav Voloshynovskiy AAML 57 22 0 05 Sep 2018
Adversarial Attack Type I: Cheat Classifiers by Significant Changes Sanli Tang Xiaolin Huang Mingjian Chen Chengjin Sun J. Yang AAML 69 2 0 03 Sep 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos R. Rey-de-Castro H. Rabitz AAML 81 10 0 27 Aug 2018
Guiding Deep Learning System Testing using Surprise Adequacy Jinhan Kim R. Feldt S. Yoo AAML ELM 76 433 0 25 Aug 2018
Maximal Jacobian-based Saliency Map Attack R. Wiyatno Anqi Xu AAML 42 88 0 23 Aug 2018
zoNNscan : a boundary-entropy index for zone inspection of neural models Adel Jaouen Erwan Le Merrer UQCV 62 3 0 21 Aug 2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection Mahdieh Abbasi Arezoo Rajabi A. Mozafari R. Bobba Christian Gagné AAML 74 9 0 21 Aug 2018
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples George Adam P. Smirnov David Duvenaud B. Haibe-Kains Anna Goldenberg AAML 49 10 0 20 Aug 2018
Mitigation of Adversarial Attacks through Embedded Feature Selection Ziyi Bao Luis Muñoz-González Emil C. Lupu AAML 44 1 0 16 Aug 2018
Deep Convolutional Networks as shallow Gaussian Processes Adrià Garriga-Alonso C. Rasmussen Laurence Aitchison BDL UQCV 116 271 0 16 Aug 2018
Distributionally Adversarial Attack T. Zheng Changyou Chen K. Ren OOD 101 123 0 16 Aug 2018
Kernel Flows: from learning kernels from data into the abyss H. Owhadi G. Yoo 110 90 0 13 Aug 2018
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection Xiao Chen Chaoran Li Derui Wang S. Wen Jun Zhang Surya Nepal Yang Xiang K. Ren AAML 80 246 0 10 Aug 2018
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting Zecheng He Tianwei Zhang R. Lee FedML AAML MLAU 62 19 0 09 Aug 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 84 13 0 08 Aug 2018
Adversarial Vision Challenge Wieland Brendel Jonas Rauber Alexey Kurakin Nicolas Papernot Behar Veliqi M. Salathé Sharada Mohanty Matthias Bethge AAML 79 58 0 06 Aug 2018
Defense Against Adversarial Attacks with Saak Transform Sibo Song Yueru Chen Ngai-Man Cheung C.-C. Jay Kuo 69 24 0 06 Aug 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu Sijia Liu Pu Zhao Pin-Yu Chen Huan Zhang Quanfu Fan Deniz Erdogmus Yanzhi Wang Xinyu Lin AAML 126 162 0 05 Aug 2018
Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection Raghav Gurbaxani Shivank Mishra AAML 41 4 0 04 Aug 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions Konda Reddy Mopuri P. Uppala R. Venkatesh Babu AAML 83 85 0 03 Aug 2018
Security and Privacy Issues in Deep Learning Ho Bae Jaehee Jang Dahuin Jung Hyemi Jang Heonseok Ha Hyungyu Lee Sungroh Yoon SILM MIACV 145 79 0 31 Jul 2018
One-Shot Generation of Near-Optimal Topology through Theory-Driven Machine Learning Ruijin Cang Hope Yao Yi Ren 42 0 0 27 Jul 2018
A general metric for identifying adversarial images S. Kumar AAML 26 0 0 26 Jul 2018
Effects of Degradations on Deep Neural Network Architectures Prasun Roy Subhankar Ghosh Saumik Bhattacharya Umapada Pal 84 137 0 26 Jul 2018
HiDDeN: Hiding Data With Deep Networks Jiren Zhu Russell Kaplan Justin Johnson Li Fei-Fei WIGM 79 757 0 26 Jul 2018
Simultaneous Adversarial Training - Learn from Others Mistakes Zukang Liao AAML GAN 53 4 0 21 Jul 2018
Physical Adversarial Examples for Object Detectors Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Florian Tramèr Atul Prakash Tadayoshi Kohno Basel Alomair AAML 107 473 0 20 Jul 2018
Harmonic Adversarial Attack Method Wen Heng Shuchang Zhou Tingting Jiang AAML 54 6 0 18 Jul 2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding Tong Chen Wenjia Niu Yingxiao Xiang XiaoXuan Bai Jiqiang Liu Zhen Han Gang Li AAML 62 23 0 18 Jul 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 107 229 0 18 Jul 2018
Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions Adnan Siraj Rakin Jinfeng Yi Boqing Gong Deliang Fan AAML MQ 80 50 0 18 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip Torr AAML 116 70 0 11 Jul 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 201 2,074 0 10 Jul 2018
Adaptive Adversarial Attack on Scene Text Recognition Xiaoyong Yuan Pan He Xiaolin Li Dapeng Oliver Wu AAML 73 23 0 09 Jul 2018