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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems Jianmin Guo Yue Zhao Xueying Han Yu Jiang AAML 74 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 141 689 0 09 Nov 2019
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces Xue Jiang Xiao Zhang Dongrui Wu AAML 79 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 69 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 95 70 0 06 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 116 150 0 06 Nov 2019
Reversible Adversarial Attack based on Reversible Image Transformation Z. Yin Hua Wang Li Chen Jie Wang Weiming Zhang AAML PICV 93 16 0 06 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example Detection Philip Sperl Ching-yu Kao Peng Chen Konstantin Böttinger AAML 61 34 0 05 Nov 2019
Persistency of Excitation for Robustness of Neural Networks Kamil Nar S. Shankar Sastry AAML 41 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 114 197 0 03 Nov 2019
MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks Shai Rozenberg G. Elidan Ran El-Yaniv AAML 41 1 0 03 Nov 2019
Security of Facial Forensics Models Against Adversarial Attacks Rong Huang Fuming Fang H. Nguyen Junichi Yamagishi Isao Echizen AAML 55 6 0 02 Nov 2019
Adversarial Deep Learning for Over-the-Air Spectrum Poisoning Attacks Y. Sagduyu Yi Shi T. Erpek AAML 75 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 69 67 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 146 266 0 31 Oct 2019
An Abstraction-Based Framework for Neural Network Verification Y. Elboher Justin Emile Gottschlich Guy Katz 133 127 0 31 Oct 2019
Beyond Universal Person Re-ID Attack Wenjie Ding Xing Wei Rongrong Ji Xiaopeng Hong Qi Tian Yihong Gong AAML 64 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 101 40 0 30 Oct 2019
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications Nicholas Carlini Ulfar Erlingsson Nicolas Papernot OOD OODD 71 61 0 29 Oct 2019
Feature relevance quantification in explainable AI: A causal problem Dominik Janzing Lenon Minorics Patrick Blobaum FAtt CML 109 286 0 29 Oct 2019
Adversarial Example in Remote Sensing Image Recognition Li Chen Guowei Zhu Qi Li Haifeng Li AAML 60 27 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 72 96 0 29 Oct 2019
Certified Adversarial Robustness for Deep Reinforcement Learning Björn Lütjens Michael Everett Jonathan P. How AAML 107 96 0 28 Oct 2019
IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong 96 106 0 28 Oct 2019
EdgeFool: An Adversarial Image Enhancement Filter Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro AAML 54 23 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 34 29 0 27 Oct 2019
Understanding and Quantifying Adversarial Examples Existence in Linear Classification Xupeng Shi A. Ding AAML 48 3 0 27 Oct 2019
Detection of Adversarial Attacks and Characterization of Adversarial Subspace Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 54 17 0 26 Oct 2019
Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples Mauro Barni Ehsan Nowroozi B. Tondi Bowen Zhang AAML 60 17 0 25 Oct 2019
Label Smoothing and Logit Squeezing: A Replacement for Adversarial Training? Ali Shafahi Amin Ghiasi Furong Huang Tom Goldstein AAML 74 41 0 25 Oct 2019
A Useful Taxonomy for Adversarial Robustness of Neural Networks L. Smith AAML 53 6 0 23 Oct 2019
Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms K. M. Koerich M. Esmailpour Sajjad Abdoli A. Britto Alessandro Lameiras Koerich AAML 87 1 0 22 Oct 2019
Attacking Optical Flow Anurag Ranjan J. Janai Andreas Geiger Michael J. Black AAML 3DPC 86 87 0 22 Oct 2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing Sven Gowal J. Uesato Chongli Qin Po-Sen Huang Timothy A. Mann Pushmeet Kohli AAML 107 90 0 21 Oct 2019
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking Qing Guo Xiaofei Xie Felix Juefei-Xu Lei Ma Zhongguo Li Wanli Xue Wei Feng Yang Liu AAML 60 4 0 19 Oct 2019
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning Yasaman Esfandiari Aditya Balu K. Ebrahimi Umesh Vaidya N. Elia Soumik Sarkar OOD 59 3 0 18 Oct 2019
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications Zirui Xu Fuxun Yu Xiang Chen AAML 59 27 0 17 Oct 2019
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation A. Sarkar Nikhil Kumar Gupta Raghu Sesha Iyengar AAML 43 11 0 17 Oct 2019
Mapper Based Classifier J. Cyranka A. Georges David A. Meyer 48 2 0 17 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone Tianchu Guo Yongchao Liu Hui Zhang Xiabing Liu Youngjun Kwak ByungIn Yoo Jae-Joon Han Changkyu Choi 65 38 0 16 Oct 2019
On adversarial patches: real-world attack on ArcFace-100 face recognition system Mikhail Aleksandrovich Pautov Grigorii Melnikov Edgar Kaziakhmedov Klim Kireev Aleksandr Petiushko CVBM PICV AAML 124 53 0 15 Oct 2019
Adversarial Examples for Models of Code Noam Yefet Uri Alon Eran Yahav SILM AAML MLAU 132 169 0 15 Oct 2019
ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness A. Sarkar A. Raj Raghu Sesha Iyengar AAML AI4TS 50 0 0 15 Oct 2019
Understanding Misclassifications by Attributes Sadaf Gulshad Zeynep Akata J. H. Metzen A. Smeulders AAML 95 0 0 15 Oct 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization Xiangyi Chen Sijia Liu Kaidi Xu Xingguo Li Xue Lin Mingyi Hong David Cox ODL 97 111 0 15 Oct 2019
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks Fuyuan Zhang Sankalan Pal Chowdhury M. Christakis AAML 58 8 0 14 Oct 2019
Real-world adversarial attack on MTCNN face detection system Edgar Kaziakhmedov Klim Kireev Grigorii Melnikov Mikhail Aleksandrovich Pautov Aleksandr Petiushko CVBM AAML 73 41 0 14 Oct 2019
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz Matthias Hein Bernt Schiele AAML 89 5 0 14 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models Derui Wang Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 34 35 0 14 Oct 2019
Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems H. Abdullah Muhammad Sajidur Rahman Washington Garcia Logan Blue Kevin Warren Anurag Swarnim Yadav T. Shrimpton Patrick Traynor AAML 75 88 0 11 Oct 2019