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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
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense Deyin Liu Lin Wu Haifeng Zhao F. Boussaïd Bennamoun Xianghua Xie AAML 75 3 0 09 Jul 2022
A law of adversarial risk, interpolation, and label noise Daniel Paleka Amartya Sanyal NoLa AAML 103 10 0 08 Jul 2022
Guiding the retraining of convolutional neural networks against adversarial inputs Francisco Durán Silverio Martínez-Fernández Michael Felderer Xavier Franch AAML 117 1 0 08 Jul 2022
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network Seongjin Park Haedong Jeong Giyoung Jeon Jaesik Choi AAML 43 1 0 07 Jul 2022
Adversarial Robustness of Visual Dialog Lu Yu Verena Rieser AAML 83 0 0 06 Jul 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 102 16 0 04 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations Tianlong Chen Peihao Wang Zhiwen Fan Zhangyang Wang 106 55 0 04 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 107 42 0 04 Jul 2022
Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models Yi Zhang Junyan Wang Jitao Sang 93 28 0 03 Jul 2022
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks Jiaxiang Liu Yunhan Xing Xiaomu Shi Fu Song Zhiwu Xu Zhong Ming 68 11 0 02 Jul 2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label Shengshan Hu Ziqi Zhou Yechao Zhang L. Zhang Yifeng Zheng Yuanyuan HE Hai Jin AAML 107 46 0 01 Jul 2022
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors Federica Granese Marine Picot Marco Romanelli Francisco Messina Pablo Piantanida AAML 82 3 0 30 Jun 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 88 18 0 29 Jun 2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models Lele Wang B. Liu UQCV 57 5 0 29 Jun 2022
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models Gavin Hartnett Li Ang Zhang Caolionn L O'Connell A. Lohn Jair Aguirre AAML 98 3 0 25 Jun 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning Baoyuan Wu Hongrui Chen Ruotong Wang Zihao Zhu Shaokui Wei Danni Yuan Chaoxiao Shen ELM AAML 138 146 0 25 Jun 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 108 5 0 23 Jun 2022
Understanding the effect of sparsity on neural networks robustness Lukas Timpl R. Entezari Hanie Sedghi Behnam Neyshabur O. Saukh 94 12 0 22 Jun 2022
Diversified Adversarial Attacks based on Conjugate Gradient Method Keiichiro Yamamura Haruki Sato Nariaki Tateiwa Nozomi Hata Toru Mitsutake Issa Oe Hiroki Ishikura Katsuki Fujisawa AAML 98 14 0 20 Jun 2022
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation Wen Sun Jian Jin Weisi Lin AAML 83 19 0 17 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 83 5 0 16 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 82 20 0 16 Jun 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 169 14 0 16 Jun 2022
Local Identifiability of Deep ReLU Neural Networks: the Theory Joachim Bona-Pellissier Franccois Malgouyres François Bachoc FAtt 114 7 0 15 Jun 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack Ruize Gao Jiongxiao Wang Kaiwen Zhou Feng Liu Binghui Xie Gang Niu Bo Han James Cheng AAML 48 15 0 15 Jun 2022
Adversarial Vulnerability of Randomized Ensembles Hassan Dbouk Naresh R Shanbhag AAML 61 7 0 14 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale Gaoyuan Zhang Songtao Lu Yihua Zhang Xiangyi Chen Pin-Yu Chen Quanfu Fan Lee Martie L. Horesh Min-Fong Hong Sijia Liu OOD 73 12 0 13 Jun 2022
Defending Adversarial Examples by Negative Correlation Ensemble Wenjian Luo Hongwei Zhang Linghao Kong Zhijian Chen Jiaheng Zhang AAML 32 1 0 11 Jun 2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck Ce Zhang Xiang Zhou Yixin Wan Xiaoqing Zheng Kai-Wei Chang Cho-Jui Hsieh 73 27 0 11 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks Oriel BenShmuel AAML 34 0 0 09 Jun 2022
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models F. Nesti Giulio Rossolini G. D’Amico Alessandro Biondi Giorgio Buttazzo AAML 82 9 0 09 Jun 2022
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook Qiyu Hu Guangyi Zhang Zhijin Qin Yunlong Cai Guanding Yu Geoffrey Ye Li AAML 96 150 0 08 Jun 2022
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples Dongyoon Yang Insung Kong Yongdai Kim OOD AAML 80 10 0 07 Jun 2022
Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning Tom Hickling Nabil Aouf P. Spencer AAML 38 56 0 06 Jun 2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis Raphael Ettedgui Alexandre Araujo Rafael Pinot Y. Chevaleyre Jamal Atif AAML 67 3 0 03 Jun 2022
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images Zhengyu Zhao Nga Dang Martha Larson 48 0 0 03 Jun 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection Linhai Ma Liang Liang OOD 81 6 0 02 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs Chen-Hao Hu Yilong Wang Kalibinuer Tiliwalidi Wen Li AAML 118 17 0 02 Jun 2022
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML OOD 65 1 0 02 Jun 2022
On the reversibility of adversarial attacks C. Li Ricardo Sánchez-Matilla Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML 47 2 0 01 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 63 0 0 01 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 56 2 0 31 May 2022
Exact Feature Collisions in Neural Networks Utku Ozbulak Manvel Gasparyan Shodhan Rao W. D. Neve Arnout Van Messem AAML 56 1 0 31 May 2022
Searching for the Essence of Adversarial Perturbations Dennis Y. Menn Tzu-hsun Feng Hung-yi Lee AAML 26 1 0 30 May 2022
Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions Rucha Shinde S. Patil K. Kotecha V. Potdar Ganeshsree Selvachandran Ajith Abraham 53 33 0 30 May 2022
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model Hanqi Wang Xiaoguang Zhu Tao Chen Chengfang Li Liang Song FAtt 67 5 0 30 May 2022
Mixture GAN For Modulation Classification Resiliency Against Adversarial Attacks Eyad Shtaiwi Ahmed El Ouadrhiri Majid Moradikia Salma Sultana Ahmed M Abdelhadi Zhu Han AAML GAN 52 8 0 29 May 2022
Superclass Adversarial Attack Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 72 1 0 29 May 2022
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks P. Muratore S. Tafazoli Eugenio Piasini Alessandro Laio D. Zoccolan 42 8 0 27 May 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems Alberto Marchisio Giovanni Caramia Maurizio Martina Mohamed Bennai AAML 70 8 0 27 May 2022