Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
Risk Bounds for Robust Deep Learning Johannes Lederer OOD 11 16 0 14 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 41 62 0 11 Sep 2020
Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models A. Tripathi Ashish Mishra AAML MedIm 11 10 0 08 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks Shankar A. Deka D. Stipanović Claire Tomlin AAML 30 7 0 07 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map Dengpan Ye Chuanxi Chen Changrui Liu Hao Wang Shunzhi Jiang AAML 24 28 0 06 Sep 2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks Nilaksh Das Haekyu Park Zijie J. Wang Fred Hohman Robert Firstman Emily Rogers Duen Horng Chau AAML 28 26 0 05 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 42 48 0 02 Sep 2020
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation T. Tran Di You Kyumin Lee 34 13 0 31 Aug 2020
An Integrated Approach to Produce Robust Models with High Efficiency Zhijian Li Bao Wang Jack Xin MQ AAML 28 3 0 31 Aug 2020
Adversarially Robust Learning via Entropic Regularization Gauri Jagatap Ameya Joshi A. B. Chowdhury S. Garg C. Hegde OOD 35 11 0 27 Aug 2020
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks Shasha Li K. Khalil Yikang Shen Chengyu Song S. Krishnamurthy A. Roy-Chowdhury A. Swami AAML 14 2 0 26 Aug 2020
Adversarially Training for Audio Classifiers Raymel Alfonso Sallo Mohammad Esmaeilpour P. Cardinal AAML 12 8 0 26 Aug 2020
An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network Chunhui Li Xingshu Chen Haizhou Wang Yu Zhang Peiming Wang AAML 11 28 0 26 Aug 2020
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses Fu-Huei Lin Rohit Mittapalli Prithvijit Chattopadhyay Daniel Bolya Judy Hoffman AAML 46 2 0 25 Aug 2020
An Adversarial Attack Defending System for Securing In-Vehicle Networks Yi Li Jing Lin Kaiqi Xiong AAML 33 14 0 25 Aug 2020
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems Sandhya Saisubramanian S. Zilberstein Ece Kamar 17 21 0 24 Aug 2020
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling T. Lew Marco Pavone AAML 30 53 0 24 Aug 2020
Delving Deeper into Anti-aliasing in ConvNets Xueyan Zou Fanyi Xiao Zhiding Yu Yong Jae Lee SupR 30 103 0 21 Aug 2020
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples Julia Lust A. P. Condurache UQCV AAML AI4CE 29 7 0 21 Aug 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 24 19 0 19 Aug 2020
CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection Shengnan Hu Yang Zhang Sumit Laha A. Sharma H. Foroosh AAML 12 8 0 19 Aug 2020
Improving adversarial robustness of deep neural networks by using semantic information Lina Wang Rui Tang Yawei Yue Xingshu Chen Wei Wang Yi Zhu Xuemei Zeng AAML 22 14 0 18 Aug 2020
A Deep Dive into Adversarial Robustness in Zero-Shot Learning M. K. Yucel R. G. Cinbis P. D. Sahin VLM 21 7 0 17 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 22 9 0 16 Aug 2020
Semantically Adversarial Learnable Filters Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro GAN 22 5 0 13 Aug 2020
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services Basheer Qolomany Ihab Mohammed Ala I. Al-Fuqaha Mohsen Guizani Junaid Qadir 15 34 0 11 Aug 2020
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems Jiaxi Tang Hongyi Wen Ke Wang AAML 12 82 0 11 Aug 2020
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length Linhai Ma Liang Liang 21 8 0 08 Aug 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 21 3 0 07 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 27 73 0 07 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 12 85 0 05 Aug 2020
Stabilizing Deep Tomographic Reconstruction Weiwen Wu Dianlin Hu W. Cong Hongming Shan Shaoyu Wang Chuang Niu Pingkun Yan Hengyong Yu V. Vardhanabhuti Ge Wang OOD 20 10 0 04 Aug 2020
TREND: Transferability based Robust ENsemble Design Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OOD AAML 21 4 0 04 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen Baochang Zhang Shenjun Xue Xuan Gong Hong Liu Rongrong Ji David Doermann AAML 22 33 0 03 Aug 2020
Efficient Adversarial Attacks for Visual Object Tracking Siyuan Liang Xingxing Wei Siyuan Yao Xiaochun Cao AAML 8 74 0 01 Aug 2020
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers Brian Kim Y. Sagduyu T. Erpek Kemal Davaslioglu S. Ulukus AAML 12 29 0 31 Jul 2020
Physical Adversarial Attack on Vehicle Detector in the Carla Simulator Tong Wu Xuefei Ning Wenshuo Li Ranran Huang Huazhong Yang Yu Wang AAML 33 49 0 31 Jul 2020
TEAM: We Need More Powerful Adversarial Examples for DNNs Yaguan Qian Xi-Ming Zhang Bin Wang Wei Li Zhaoquan Gu Haijiang Wang Wassim Swaileh AAML 33 0 0 31 Jul 2020
vWitness: Certifying Web Page Interactions with Computer Vision Shuang He Lianying Zhao David Lie 16 1 0 31 Jul 2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang Gaoyuan Zhang Sijia Liu Pin-Yu Chen Jinjun Xiong Meng Wang AAML 33 148 0 31 Jul 2020
Black-box Adversarial Sample Generation Based on Differential Evolution Junyu Lin Lei Xu Yingqi Liu Xinming Zhang AAML 12 35 0 30 Jul 2020
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks Yi Zeng Han Qiu G. Memmi Meikang Qiu AAML 29 50 0 30 Jul 2020
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning Jirong Yi R. Mudumbai Weiyu Xu AAML 32 2 0 28 Jul 2020
From Sound Representation to Model Robustness Mohamad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 20 6 0 27 Jul 2020
Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing Yi Zhang Jitao Sang 20 55 0 27 Jul 2020
MirrorNet: Bio-Inspired Camouflaged Object Segmentation Jinnan Yan Trung-Nghia Le Khanh-Duy Nguyen M. Tran Thanh-Toan Do Tam V. Nguyen 24 24 0 25 Jul 2020
Adversarial Privacy-preserving Filter Jiaming Zhang Jitao Sang Xian Zhao Xiaowen Huang Yanfeng Sun Yongli Hu PICV 39 41 0 25 Jul 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study Fatemeh Vakhshiteh A. Nickabadi Raghavendra Ramachandra AAML 15 16 0 22 Jul 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 22 6 0 22 Jul 2020