Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Random Noise Defense Against Query-Based Black-Box Attacks Zeyu Qin Yanbo Fan H. Zha Baoyuan Wu AAML 27 59 0 23 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 52 10 0 22 Apr 2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu AAML 21 1 0 20 Apr 2021
Adversarial Training for Deep Learning-based Intrusion Detection Systems Islam Debicha Thibault Debatty Jean-Michel Dricot Wim Mees AAML 11 18 0 20 Apr 2021
Does enhanced shape bias improve neural network robustness to common corruptions? Chaithanya Kumar Mummadi Ranjitha Subramaniam Robin Hutmacher Julien Vitay Volker Fischer J. H. Metzen 23 40 0 20 Apr 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 43 13 0 20 Apr 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features Yunrui Yu Xitong Gao Chengzhong Xu AAML FedML 33 44 0 19 Apr 2021
Direction-Aggregated Attack for Transferable Adversarial Examples Tianjin Huang Vlado Menkovski Yulong Pei Yuhao Wang Mykola Pechenizkiy AAML 21 15 0 19 Apr 2021
UPB at SemEval-2021 Task 5: Virtual Adversarial Training for Toxic Spans Detection Andrei Paraschiv Dumitru-Clementin Cercel M. Dascalu 32 1 0 17 Apr 2021
Fashion-Guided Adversarial Attack on Person Segmentation Marc Treu Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen AAML 33 12 0 17 Apr 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 24 18 0 16 Apr 2021
Towards Variable-Length Textual Adversarial Attacks Junliang Guo Zhirui Zhang Linlin Zhang Linli Xu Boxing Chen Enhong Chen Weihua Luo AAML 81 6 0 16 Apr 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical World Xingxing Wei Yingjie Guo Jie Yu AAML 22 115 0 14 Apr 2021
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack Xinyi Zhang Chengfang Fang Jie Shi MIACV MLAU SILM 35 15 0 13 Apr 2021
Instagram Filter Removal on Fashionable Images Furkan Kinli B. Özcan Mustafa Furkan Kıraç 27 10 0 11 Apr 2021
Relating Adversarially Robust Generalization to Flat Minima David Stutz Matthias Hein Bernt Schiele OOD 32 65 0 09 Apr 2021
Beyond Categorical Label Representations for Image Classification Boyuan Chen Yu Li Sunand Raghupathi Hod Lipson SSL 32 2 0 06 Apr 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification S. Silva Arun Das I. Scarff Peyman Najafirad AAML 20 1 0 05 Apr 2021
Deep Learning-Based Autonomous Driving Systems: A Survey of Attacks and Defenses Yao Deng Tiehua Zhang Guannan Lou Xi Zheng Jiong Jin Qing-Long Han AAML 27 98 0 05 Apr 2021
Reliably fast adversarial training via latent adversarial perturbation Geon Yeong Park Sang Wan Lee AAML 17 26 0 04 Apr 2021
Defending Against Image Corruptions Through Adversarial Augmentations D. A. Calian Florian Stimberg Olivia Wiles Sylvestre-Alvise Rebuffi András Gyorgy Timothy A. Mann Sven Gowal AAML 17 41 0 02 Apr 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness Zhuolin Yang Linyi Li Xiaojun Xu Shiliang Zuo Qiang Chen Benjamin I. P. Rubinstein Pan Zhou Ce Zhang Bo-wen Li AAML 18 53 0 01 Apr 2021
Towards Evaluating and Training Verifiably Robust Neural Networks Zhaoyang Lyu Minghao Guo Tong Wu Guodong Xu Kehuan Zhang Dahua Lin AAML 21 22 0 01 Apr 2021
Domain Invariant Adversarial Learning Matan Levi Idan Attias A. Kontorovich AAML OOD 37 11 0 01 Apr 2021
Fast Certified Robust Training with Short Warmup Zhouxing Shi Yihan Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 20 52 0 31 Mar 2021
Adversarial Attacks and Defenses for Speech Recognition Systems Piotr Żelasko Sonal Joshi Yiwen Shao Jesus Villalba J. Trmal Najim Dehak Sanjeev Khudanpur AAML 21 28 0 31 Mar 2021
Class-Aware Robust Adversarial Training for Object Detection Pin-Chun Chen Bo-Han Kung Jun-Cheng Chen AAML ObjD 26 48 0 30 Mar 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang Kun He AAML 43 379 0 29 Mar 2021
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training Mohammad Azizmalayeri M. Rohban OOD 32 4 0 29 Mar 2021
On the benefits of robust models in modulation recognition Javier Maroto Gérôme Bovet P. Frossard AAML 26 4 0 27 Mar 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection Zhijie Deng Xiao Yang Shizhen Xu Hang Su Jun Zhu BDL AAML 20 61 0 27 Mar 2021
Unsupervised Robust Domain Adaptation without Source Data Peshal Agarwal D. Paudel Jan-Nico Zaech Luc Van Gool OOD TTA 29 27 0 26 Mar 2021
Adversarial Attacks are Reversible with Natural Supervision Chengzhi Mao Mia Chiquer Hao Wang Junfeng Yang Carl Vondrick BDL AAML 21 55 0 26 Mar 2021
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes Zhikai Chen Lingxi Xie Shanmin Pang Yong He Bo Zhang AAML 36 32 0 26 Mar 2021
Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond Brian Kim Y. Sagduyu T. Erpek S. Ulukus AAML 11 23 0 25 Mar 2021
THAT: Two Head Adversarial Training for Improving Robustness at Scale Zuxuan Wu Tom Goldstein L. Davis Ser-Nam Lim AAML GAN 29 1 0 25 Mar 2021
Vulnerability of Appearance-based Gaze Estimation Mingjie Xu Haofei Wang Yunfei Liu Feng Lu AAML 27 2 0 24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations Chaitanya K. Ryali D. Schwab Ari S. Morcos SSL 37 9 0 23 Mar 2021
RPATTACK: Refined Patch Attack on General Object Detectors Hao Huang Yongtao Wang Zhaoyu Chen Zhi Tang Wenqiang Zhang K. Ma ObjD AAML 33 32 0 23 Mar 2021
Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen Yu Cheng Zhe Gan Jianfeng Wang Lijuan Wang Zhangyang Wang Jingjing Liu AAML ViT 26 19 0 22 Mar 2021
Fast Approximate Spectral Normalization for Robust Deep Neural Networks Zhixin Pan Prabhat Mishra AAML OOD 17 1 0 22 Mar 2021
BERT: A Review of Applications in Natural Language Processing and Understanding M. V. Koroteev VLM 25 196 0 22 Mar 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau VLM AAML 16 53 0 22 Mar 2021
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection R. Vardhan Ninghao Liu Phakpoom Chinprutthiwong Weijie Fu Zhen Hu Xia Hu G. Gu AAML 28 4 0 22 Mar 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 27 2 0 21 Mar 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack Ashkan Esmaeili Marzieh Edraki Nazanin Rahnavard M. Shah Ajmal Mian AAML 35 2 0 19 Mar 2021
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems Yuxuan Chen Jiangshan Zhang Xuejing Yuan Shengzhi Zhang Kai Chen Xiaofeng Wang Shanqing Guo AAML 37 15 0 19 Mar 2021
Boosting Adversarial Transferability through Enhanced Momentum Xiaosen Wang Jiadong Lin Han Hu Jingdong Wang Kun He AAML 14 76 0 19 Mar 2021
Robust Vision-Based Cheat Detection in Competitive Gaming Aditya Jonnalagadda I. Frosio Seth Schneider M. McGuire Joohwan Kim AAML 32 15 0 18 Mar 2021
Bio-inspired Robustness: A Review Harshitha Machiraju Oh-hyeon Choung P. Frossard Michael H. Herzog AAML 30 1 0 16 Mar 2021