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Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection Shengnan Hu Yang Zhang Sumit Laha A. Sharma H. Foroosh AAML 40 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 56 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 68 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 60 9 0 16 Aug 2020
Semantically Adversarial Learnable Filters Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro GAN 87 6 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 52 36 0 11 Aug 2020
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems Jiaxi Tang Hongyi Wen Ke Wang AAML 75 83 0 11 Aug 2020
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length Linhai Ma Liang Liang 59 8 0 08 Aug 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 47 3 0 07 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 118 73 0 07 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 75 89 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 71 10 0 04 Aug 2020
TREND: Transferability based Robust ENsemble Design Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OOD AAML 49 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 58 35 0 03 Aug 2020
Efficient Adversarial Attacks for Visual Object Tracking Siyuan Liang Xingxing Wei Siyuan Yao Xiaochun Cao AAML 78 75 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 82 30 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 63 50 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 58 0 0 31 Jul 2020
vWitness: Certifying Web Page Interactions with Computer Vision Shuang He Lianying Zhao David Lie 26 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 151 150 0 31 Jul 2020
Black-box Adversarial Sample Generation Based on Differential Evolution Junyu Lin Lei Xu Yingqi Liu Xinming Zhang AAML 67 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 66 51 0 30 Jul 2020
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning Jirong Yi R. Mudumbai Weiyu Xu AAML 53 2 0 28 Jul 2020
From Sound Representation to Model Robustness Mohamad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 77 6 0 27 Jul 2020
Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing Yi Zhang Jitao Sang 87 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 69 24 0 25 Jul 2020
Adversarial Privacy-preserving Filter Jiaming Zhang Jitao Sang Xian Zhao Xiaowen Huang Yanfeng Sun Yongli Hu PICV 81 42 0 25 Jul 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study Fatemeh Vakhshiteh A. Nickabadi Raghavendra Ramachandra AAML 83 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 74 6 0 22 Jul 2020
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition Ludwig Kurzinger Edgar Ricardo Chavez Rosas Lujun Li Tobias Watzel Gerhard Rigoll AAML 50 4 0 21 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding Nupur Thakur Baoxin Li AAML 73 3 0 20 Jul 2020
DiffRNN: Differential Verification of Recurrent Neural Networks Sara Mohammadinejad Brandon Paulsen Chao Wang Jyotirmoy V. Deshmukh 111 12 0 20 Jul 2020
Robust Tracking against Adversarial Attacks Shuai Jia Chao Ma Yibing Song Xiaokang Yang AAML 75 51 0 20 Jul 2020
Exploiting vulnerabilities of deep neural networks for privacy protection Ricardo Sánchez-Matilla C. Li Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML PICV 56 25 0 19 Jul 2020
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency Shasha Li Shitong Zhu Sudipta Paul Amit K. Roy-Chowdhury Chengyu Song S. Krishnamurthy A. Swami Kevin S. Chan AAML 123 36 0 19 Jul 2020
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering Ruixue Tang Chao Ma W. Zhang Qi Wu Xiaokang Yang OOD 72 49 0 19 Jul 2020
Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense Sayeed Shafayet Chowdhury Kaji Mejbaul Islam Rouhan Noor AAML 50 3 0 17 Jul 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 74 18 0 17 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 68 34 0 16 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models Marzieh Edraki Nazmul Karim Nazanin Rahnavard Ajmal Mian M. Shah AAML 97 14 0 16 Jul 2020
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels Wenjie Wan Zhaodi Zhang Yiwei Zhu Min Zhang Fu Song AAML 73 8 0 16 Jul 2020
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack Yupeng Cheng Qing Guo Felix Juefei Xu Wei Feng Shang-Wei Lin Weisi Lin Yang Liu AAML 99 47 0 14 Jul 2020
Bounding The Number of Linear Regions in Local Area for Neural Networks with ReLU Activations Rui Zhu Bo Lin Haixu Tang MLT 50 4 0 14 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 95 145 0 14 Jul 2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems H. Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot Patrick Traynor AAML 78 129 0 13 Jul 2020
CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness Nick A. Phillips Pranav Rajpurkar Mark Sabini R. Krishnan Sharon Zhou ... Mudit Jain Nguyen Duong Du Steven QH Truong A. Ng M. Lungren MedIm 72 13 0 13 Jul 2020
Probabilistic Jacobian-based Saliency Maps Attacks Théo Combey António Loison Maxime Faucher H. Hajri AAML 110 19 0 12 Jul 2020
Improved Detection of Adversarial Images Using Deep Neural Networks Yutong Gao Yi-Lun Pan AAML 56 3 0 10 Jul 2020
Generating Adversarial Inputs Using A Black-box Differential Technique J. Matos Lucas C. Cordeiro Marcelo d’Amorim Xiaowei Huang AAML 29 0 0 10 Jul 2020
Improving Adversarial Robustness by Enforcing Local and Global Compactness Anh-Vu Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML 62 24 0 10 Jul 2020