Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
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 8 15 0 16 Jan 2020
A Little Fog for a Large Turn Harshitha Machiraju V. Balasubramanian AAML 15 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 38 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 15 53 0 13 Jan 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 99 1,160 0 12 Jan 2020
ReluDiff: Differential Verification of Deep Neural Networks Brandon Paulsen Jingbo Wang Chao Wang 30 53 0 10 Jan 2020
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations Lin Wang Wonjune Cho Kuk-Jin Yoon AAML 34 24 0 06 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 troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems N. Gottschling Vegard Antun A. Hansen Ben Adcock 24 31 0 05 Jan 2020
The Human Visual System and Adversarial AI Yaoshiang Ho S. Wookey 24 2 0 05 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
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient Ling Liang Xing Hu Lei Deng Yujie Wu Guoqi Li Yufei Ding Peng Li Yuan Xie AAML 31 61 0 01 Jan 2020
Quantum Adversarial Machine Learning Sirui Lu L. Duan D. Deng AAML 29 100 0 31 Dec 2019
Recognizing Instagram Filtered Images with Feature De-stylization Zhe Wu Zuxuan Wu Bharat Singh L. Davis 23 20 0 30 Dec 2019
Defending from adversarial examples with a two-stream architecture Hao Ge X. Tu M. Xie Zheng Ma AAML 11 1 0 30 Dec 2019
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 31 36 0 26 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 36 507 0 23 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
Mitigating large adversarial perturbations on X-MAS (X minus Moving Averaged Samples) Woohyung Chun Sung-Min Hong Junho Huh Inyup Kang AAML 11 0 0 19 Dec 2019
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation Jihan Yang Ruijia Xu Ruiyu Li Xiaojuan Qi Xiaoyong Shen Guanbin Li Liang Lin 4 93 0 18 Dec 2019
Detecting Adversarial Attacks On Audiovisual Speech Recognition Pingchuan Ma Stavros Petridis Maja Pantic AAML 21 19 0 18 Dec 2019
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection A. Braunegg Amartya Chakraborty Michael Krumdick Nicole Lape Sara Leary Keith Manville Elizabeth M. Merkhofer Laura Strickhart Matthew Walmer AAML 16 46 0 17 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
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance Mahmoud Afifi M. Brown AAML 23 114 0 15 Dec 2019
Detecting and Correcting Adversarial Images Using Image Processing Operations H. Nguyen Minoru Kuribayashi Junichi Yamagishi Isao Echizen AAML 37 1 0 11 Dec 2019
Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques Ibrahim Yilmaz Rahat Masum 27 14 0 10 Dec 2019
Appending Adversarial Frames for Universal Video Attack Zhikai Chen Lingxi Xie Shanmin Pang Yong He Qi Tian AAML 22 30 0 10 Dec 2019
Feature Losses for Adversarial Robustness K. Sivamani AAML 23 0 0 10 Dec 2019
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks Y. Tan Yuval Elovici Alexander Binder AAML 11 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
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 26 57 0 06 Dec 2019
Detection of Face Recognition Adversarial Attacks F. V. Massoli F. Carrara Giuseppe Amato Fabrizio Falchi AAML 22 54 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 19 18 0 05 Dec 2019
A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks P. Dasgupta J. B. Collins AAML 9 43 0 04 Dec 2019
Walking on the Edge: Fast, Low-Distortion Adversarial Examples Hanwei Zhang Yannis Avrithis Teddy Furon Laurent Amsaleg AAML 20 45 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
Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks Jun Jia Zhongpai Gao Kang Chen Menghan Hu Guangtao Zhai G. Guo Xiaokang Yang 22 1 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
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 39 145 0 02 Dec 2019
Fastened CROWN: Tightened Neural Network Robustness Certificates Zhaoyang Lyu Ching-Yun Ko Zhifeng Kong Ngai Wong Dahua Lin Luca Daniel 46 67 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
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
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 31 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
Identifying Model Weakness with Adversarial Examiner Michelle Shu Chenxi Liu Weichao Qiu Alan Yuille AAML ELM 27 19 0 25 Nov 2019
ColorFool: Semantic Adversarial Colorization Ali Shahin Shamsabadi Ricardo Sánchez-Matilla Andrea Cavallaro AAML 19 118 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