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
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation Qiyuan Chen Raed Al Kontar Maher Nouiehed Xi Yang Corey A. Lester AAML 60 2 0 24 Aug 2022
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps Mohammadreza Amirian Friedhelm Schwenker Thilo Stadelmann AAML 79 16 0 24 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 157 121 0 24 Aug 2022
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability Shahroz Tariq B. Le Simon S. Woo AAML AI4TS 52 4 0 24 Aug 2022
A Novel Plug-and-Play Approach for Adversarially Robust Generalization Deepak Maurya Adarsh Barik Jean Honorio OOD AAML 83 0 0 19 Aug 2022
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing Naresh Gurulingan Elahe Arani Bahram Zonooz 68 2 0 19 Aug 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 72 47 0 18 Aug 2022
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries Manaar Alam Shubhajit Datta Debdeep Mukhopadhyay Arijit Mondal P. Chakrabarti AAML 30 5 0 18 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 73 2 0 18 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance Bahjat Kawar Roy Ganz Michael Elad DiffM 91 39 0 18 Aug 2022
Two Heads are Better than One: Robust Learning Meets Multi-branch Models Dong Huang Qi Bu Yuhao Qing Haowen Pi Sen Wang Heming Cui OOD AAML 60 0 0 17 Aug 2022
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search Bin Ji Jie Yu Shasha Li Jun Ma Shezheng Song AAML 68 1 0 17 Aug 2022
Neural network fragile watermarking with no model performance degradation Z. Yin Heng Yin Xinpeng Zhang AAML 43 20 0 16 Aug 2022
Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks Woo Jae Kim Seunghoon Hong Sung-eui Yoon AAML 76 8 0 11 Aug 2022
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation Moucheng Xu Yukun Zhou Chen Jin M. Groot Daniel C. Alexander N. Oxtoby Yipeng Hu Joseph Jacob VLM OOD 37 12 0 08 Aug 2022
Blackbox Attacks via Surrogate Ensemble Search Zikui Cai Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury M. Salman Asif AAML 108 21 0 07 Aug 2022
A New Kind of Adversarial Example Ali Borji AAML 122 1 0 04 Aug 2022
Design of secure and robust cognitive system for malware detection Sanket Shukla AAML 51 2 0 03 Aug 2022
Attacking Adversarial Defences by Smoothing the Loss Landscape Panagiotis Eustratiadis Henry Gouk Da Li Timothy M. Hospedales AAML 77 4 0 01 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 90 2 0 31 Jul 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology Muhammad Hassan Haifei Guan Aikaterini Melliou Yuqi Wang Qianhui Sun ... Qi Huang Jiefu Tan Qinwang Xing Peiwu Qin Dongmei Yu NAI 106 15 0 31 Jul 2022
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips Jiawang Bai Kuofeng Gao Dihong Gong Shutao Xia Zhifeng Li Wen Liu AAML 80 29 0 27 Jul 2022
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking Mingejie Wang Jianxiong Guo Sirui Li Dingwen Xiao Zhiqing Tang AAML 83 0 0 27 Jul 2022
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception Rui Duan Zhe Qu Shangqing Zhao Leah Ding Yao-Hong Liu Zhuo Lu AAML 54 6 0 26 Jul 2022
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 77 55 0 26 Jul 2022
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 119 78 0 25 Jul 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 85 24 0 25 Jul 2022
Can we achieve robustness from data alone? Nikolaos Tsilivis Jingtong Su Julia Kempe OOD DD 108 18 0 24 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness? Roy Ganz Bahjat Kawar Michael Elad AAML 67 10 0 22 Jul 2022
Provable Defense Against Geometric Transformations Rem Yang Jacob S. Laurel Sasa Misailovic Gagandeep Singh AAML 96 15 0 22 Jul 2022
Careful What You Wish For: on the Extraction of Adversarially Trained Models Kacem Khaled Gabriela Nicolescu F. Magalhães MIACV AAML 78 4 0 21 Jul 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing Michael Weiss A. Gómez Paolo Tonella AAML 62 6 0 21 Jul 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification Christopher Wiedeman Ge Wang OOD 79 2 0 19 Jul 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations H. Malik Shahina Kunhimon Muzammal Naseer Salman Khan Fahad Shahbaz Khan AAML 61 8 0 18 Jul 2022
A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling Xudong Pan Qifan Xiao Mi Zhang Min Yang AAML 76 1 0 18 Jul 2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal Xinwei Liu Jian Liu Yang Bai Jindong Gu Tao Chen Xiaojun Jia Xiaochun Cao AAML WIGM 73 28 0 17 Jul 2022
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game Xiao-Shan Gao Shuang Liu Lijia Yu AAML 78 0 0 17 Jul 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking Xiangyu Yin Wenjie Ruan J. Fieldsend AAML 74 29 0 17 Jul 2022
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders Jiahao Qi Z. Gong Xingyue Liu Kangcheng Bin Chen Chen Yongqiang Li Wei Xue Yu Zhang P. Zhong AAML 81 6 0 16 Jul 2022
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni 3DPC 93 10 0 15 Jul 2022
Interactive Machine Learning: A State of the Art Review Natnael A. Wondimu Cédric Buche U. Visser VLM HAI 102 10 0 13 Jul 2022
Perturbation Inactivation Based Adversarial Defense for Face Recognition Min Ren Yuhao Zhu Yunlong Wang Zhenan Sun AAML 63 14 0 13 Jul 2022
Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information Jiebao Zhang Wenhua Qian Ren-qi Nie Jinde Cao Dan Xu GAN AAML 72 0 0 12 Jul 2022
Adversarial Robustness Assessment of NeuroEvolution Approaches Inês Valentim Nuno Lourenço Nuno Antunes AAML 74 1 0 12 Jul 2022
Multitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition S. Latif R. Rana Sara Khalifa Raja Jurdak Björn W. Schuller 72 23 0 12 Jul 2022
Towards Effective Multi-Label Recognition Attacks via Knowledge Graph Consistency Hassan Mahmood Ehsan Elhamifar AAML 39 0 0 11 Jul 2022
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems I. Aliyu Sélinde Van Engelenburg Muhammed Muazu Jinsul Kim C. Lim AAML 74 15 0 11 Jul 2022
Dynamic Time Warping based Adversarial Framework for Time-Series Domain Taha Belkhouja Yan Yan J. Doppa AAML AI4TS 82 26 0 09 Jul 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja J. Doppa AAML AI4TS 66 12 0 09 Jul 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis Taha Belkhouja Yan Yan J. Doppa OOD AI4TS 77 9 0 09 Jul 2022