Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks Minghao Guo Yuzhe Yang Rui Xu Ziwei Liu Dahua Lin AAML OOD 25 157 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
Robust Assessment of Real-World Adversarial Examples Brett A. Jefferson Carlos Ortiz Marrero AAML 9 4 0 24 Nov 2019
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference Wei-An Lin Yogesh Balaji Pouya Samangouei Rama Chellappa 33 6 0 23 Nov 2019
Universal adversarial examples in speech command classification Jon Vadillo Roberto Santana AAML 34 29 0 22 Nov 2019
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure Zhijie Deng Yucen Luo Jun Zhu Bo Zhang UQCV BDL 19 2 0 22 Nov 2019
Heuristic Black-box Adversarial Attacks on Video Recognition Models Zhipeng Wei Jingjing Chen Xingxing Wei Linxi Jiang Tat-Seng Chua Fengfeng Zhou Yueping Jiang AAML 16 67 0 21 Nov 2019
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation Alexander Levine S. Feizi AAML 34 105 0 21 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
Robust Deep Neural Networks Inspired by Fuzzy Logic Minh Le OOD AAML AI4CE 33 0 0 20 Nov 2019
Privacy Leakage Avoidance with Switching Ensembles R. Izmailov Peter Lin Chris Mesterharm S. Basu 27 2 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
Hacking Neural Networks: A Short Introduction Michael D Kissner AAML 11 2 0 18 Nov 2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che Xiaofeng Liu Site Li Yubin Ge Ruixiang Zhang Caiming Xiong Yoshua Bengio 38 52 0 18 Nov 2019
Countering Inconsistent Labelling by Google's Vision API for Rotated Images Aman Apte A. Bandyopadhyay K. Shenoy Jason Peter Andrews Aditya Rathod Manish Agnihotri Aditya Jajodia 23 1 0 17 Nov 2019
SMART: Skeletal Motion Action Recognition aTtack He Wang Feixiang He Zexi Peng Yong-Liang Yang Tianjia Shao Kun Zhou David C. Hogg AAML 31 5 0 16 Nov 2019
Simple iterative method for generating targeted universal adversarial perturbations Hokuto Hirano Kazuhiro Takemoto AAML 33 30 0 15 Nov 2019
CAGFuzz: Coverage-Guided Adversarial Generative Fuzzing Testing of Deep Learning Systems Pengcheng Zhang Qiyin Dai Patrizio Pelliccione AAML 14 4 0 14 Nov 2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks Yizhen Dong Peixin Zhang Jingyi Wang Shuang Liu Jun Sun Jianye Hao Xinyu Wang Li Wang J. Dong Ting Dai OOD AAML 21 32 0 14 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 21 104 0 13 Nov 2019
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory Arash Rahnama A. Nguyen Edward Raff AAML 21 20 0 12 Nov 2019
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems Jianmin Guo Yue Zhao Xueying Han Yu Jiang AAML 8 13 0 11 Nov 2019
Deep learning for cardiac image segmentation: A review Chen Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 64 675 0 09 Nov 2019
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces Xue Jiang Xiao Zhang Dongrui Wu AAML 21 16 0 07 Nov 2019
White-Box Target Attack for EEG-Based BCI Regression Problems Lubin Meng Chin-Teng Lin T. Jung Dongrui Wu AAML 31 42 0 07 Nov 2019
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey Olakunle Ibitoye Rana Abou-Khamis Mohamed el Shehaby Ashraf Matrawy M. O. Shafiq AAML 39 68 0 06 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 18 142 0 06 Nov 2019
Reversible Adversarial Attack based on Reversible Image Transformation Z. Yin Hua Wang Li Chen Jie Wang Weiming Zhang AAML PICV 14 16 0 06 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example Detection Philip Sperl Ching-yu Kao Peng Chen Konstantin Böttinger AAML 19 34 0 05 Nov 2019
Persistency of Excitation for Robustness of Neural Networks Kamil Nar S. Shankar Sastry AAML 11 10 0 04 Nov 2019
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems Guangke Chen Sen Chen Lingling Fan Xiaoning Du Zhe Zhao Fu Song Yang Liu AAML 19 194 0 03 Nov 2019
MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks Shai Rozenberg G. Elidan Ran El-Yaniv AAML 12 1 0 03 Nov 2019
Security of Facial Forensics Models Against Adversarial Attacks Rong Huang Fuming Fang H. Nguyen Junichi Yamagishi Isao Echizen AAML 19 6 0 02 Nov 2019
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks Y. Sagduyu Yi Shi T. Erpek AAML 33 83 0 01 Nov 2019
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System Juncheng Billy Li Shuhui Qu Xinjian Li Joseph Szurley J. Zico Kolter Florian Metze AAML 10 63 0 31 Oct 2019
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Zuxuan Wu Ser-Nam Lim L. Davis Tom Goldstein AAML 35 263 0 31 Oct 2019
An Abstraction-Based Framework for Neural Network Verification Y. Elboher Justin Emile Gottschlich Guy Katz 27 122 0 31 Oct 2019
Beyond Universal Person Re-ID Attack Wenjie Ding Xing Wei Rongrong Ji Xiaopeng Hong Qi Tian Yihong Gong AAML 36 7 0 30 Oct 2019
Investigating Resistance of Deep Learning-based IDS against Adversaries using min-max Optimization Rana Abou-Khamis Omair Shafiq Ashraf Matrawy AAML 16 40 0 30 Oct 2019
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications Nicholas Carlini Ulfar Erlingsson Nicolas Papernot OOD OODD 26 62 0 29 Oct 2019
Feature relevance quantification in explainable AI: A causal problem Dominik Janzing Lenon Minorics Patrick Blobaum FAtt CML 24 279 0 29 Oct 2019
Adversarial Example in Remote Sensing Image Recognition Li Chen Guowei Zhu Qi Li Haifeng Li AAML 21 26 0 29 Oct 2019
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection Lingchen Zhao Shengshan Hu Qian Wang Jianlin Jiang Chao Shen Xiangyang Luo Pengfei Hu AAML 30 93 0 29 Oct 2019
Certified Adversarial Robustness for Deep Reinforcement Learning Björn Lütjens Michael Everett Jonathan P. How AAML 22 91 0 28 Oct 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong 19 106 0 28 Oct 2019
EdgeFool: An Adversarial Image Enhancement Filter Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro AAML 14 22 0 27 Oct 2019
Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolutional Neural Networks Yaguan Qian Daniel Ma Bin Wang Jun Pan Jiamin Wang Jian-Hai Chen Wujie Zhou Jing-Sheng Lei AAML 18 29 0 27 Oct 2019
Understanding and Quantifying Adversarial Examples Existence in Linear Classification Xupeng Shi A. Ding AAML 22 3 0 27 Oct 2019
Detection of Adversarial Attacks and Characterization of Adversarial Subspace Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 27 17 0 26 Oct 2019