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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
PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack Jie Wang Z. Yin Jin Tang Jing Jiang Bin Luo AAML 64 2 0 19 Jan 2021
Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization Jie Wang Z. Yin Jing Jiang Yang Du AAML 101 8 0 19 Jan 2021
Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions Nodens Koren Qiuhong Ke Yisen Wang James Bailey Xingjun Ma AAML 46 1 0 17 Jan 2021
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial Attacks Jia-Wei Liu Yaochu Jin AAML OOD 75 37 0 16 Jan 2021
Context-Aware Image Denoising with Auto-Threshold Canny Edge Detection to Suppress Adversarial Perturbation Li-Yun Wang Yeganeh Jalalpour W. Feng 46 0 0 14 Jan 2021
Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image Xinghong Qin Shunquan Tan Bin Li Weixuan Tang Jiwu Huang GAN AAML DiffM 16 0 0 13 Jan 2021
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series Pradeep Rathore Arghya Basak S. Nistala Venkataramana Runkana AAML 80 43 0 13 Jan 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 259 195 0 13 Jan 2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records Yiqin Yu Pin-Yu Chen Yuan Zhou Jing Mei OOD 32 1 0 13 Jan 2021
Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps Yujin Huang Han Hu Chunyang Chen AAML FedML 115 33 0 12 Jan 2021
Fast Facial Landmark Detection and Applications: A Survey K. Khabarlak L. Koriashkina CVBM 3DH 100 61 0 12 Jan 2021
Random Transformation of Image Brightness for Adversarial Attack Bo Yang Kaiyong Xu Hengjun Wang Hengwei Zhang AAML 52 8 0 12 Jan 2021
Adversarial Machine Learning for 5G Communications Security Y. Sagduyu T. Erpek Yi Shi AAML 85 43 0 07 Jan 2021
Corner case data description and detection Tinghui Ouyang Vicent Sant Marco Yoshinao Isobe H. Asoh Y. Oiwa Yoshiki Seo AAML 67 13 0 07 Jan 2021
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients Alessandro Cappelli Ruben Ohana Julien Launay Laurent Meunier Iacopo Poli Florent Krzakala AAML 131 13 0 06 Jan 2021
Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks Rachel Sterneck Abhishek Moitra Priyadarshini Panda AAML 32 8 0 05 Jan 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 194 124 0 05 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 139 101 0 04 Jan 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Konstantinos P. Panousis S. Chatzis Antonios Alexos Sergios Theodoridis BDL AAML OOD 112 19 0 04 Jan 2021
Local Black-box Adversarial Attacks: A Query Efficient Approach Tao Xiang Hangcheng Liu Shangwei Guo Tianwei Zhang X. Liao AAML MLAU 46 15 0 04 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 124 19 0 31 Dec 2020
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions Yuhang Wu Sunpreet S. Arora Yanhong Wu Hao Yang AAML 53 9 0 31 Dec 2020
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers Krishna Kanth Nakka Mathieu Salzmann AAML 33 5 0 30 Dec 2020
Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces Linyang Li Yunfan Shao Demin Song Xipeng Qiu Xuanjing Huang AAML GAN 40 7 0 29 Dec 2020
With False Friends Like These, Who Can Notice Mistakes? Lue Tao Lei Feng Jinfeng Yi Songcan Chen AAML 70 6 0 29 Dec 2020
Enhanced Regularizers for Attributional Robustness A. Sarkar Anirban Sarkar V. Balasubramanian 65 16 0 28 Dec 2020
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning Ahmadreza Jeddi M. Shafiee A. Wong AAML 84 40 0 25 Dec 2020
Robustness, Privacy, and Generalization of Adversarial Training Fengxiang He Shaopeng Fu Bohan Wang Dacheng Tao 125 10 0 25 Dec 2020
Exploring Adversarial Examples via Invertible Neural Networks Ruqi Bai S. Bagchi David I. Inouye AAML 55 2 0 24 Dec 2020
Improving the Certified Robustness of Neural Networks via Consistency Regularization Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 26 0 0 24 Dec 2020
The Translucent Patch: A Physical and Universal Attack on Object Detectors Alon Zolfi Moshe Kravchik Yuval Elovici A. Shabtai AAML 67 90 0 23 Dec 2020
Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach Xuefei Ning Jiaqi Zhao Wenshuo Li Tianchen Zhao Yin Zheng Huazhong Yang Yu Wang AAML 95 5 0 22 Dec 2020
Blurring Fools the Network -- Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring Chenchen Zhao Hao Li AAML 32 3 0 21 Dec 2020
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks Chenchen Zhao Hao Li AAML 41 0 0 21 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 134 147 0 21 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 167 126 0 21 Dec 2020
ROBY: Evaluating the Robustness of a Deep Model by its Decision Boundaries Jinyin Chen Zhen Wang Haibin Zheng Jun Xiao Zhaoyan Ming AAML 85 5 0 18 Dec 2020
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks Kieran Browne Ben Swift AAML GAN 58 30 0 18 Dec 2020
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators Qing Wan Yoonsuck Choe 44 1 0 16 Dec 2020
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OODD 41 5 0 15 Dec 2020
Adaptive Verifiable Training Using Pairwise Class Similarity Shiqi Wang Kevin Eykholt Taesung Lee Jiyong Jang Ian Molloy OOD 33 1 0 14 Dec 2020
Robustness Threats of Differential Privacy Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets AAML 97 14 0 14 Dec 2020
Sparse Multi-Family Deep Scattering Network Romain Cosentino Randall Balestriero 46 0 0 14 Dec 2020
Achieving Adversarial Robustness Requires An Active Teacher Chao Ma Lexing Ying 71 1 0 14 Dec 2020
Dependency Decomposition and a Reject Option for Explainable Models Jan Kronenberger Anselm Haselhoff FAtt AAML 67 8 0 11 Dec 2020
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 83 11 0 11 Dec 2020
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers Bingyao Huang Haibin Ling AAML 79 20 0 10 Dec 2020
An Empirical Review of Adversarial Defenses Ayush Goel AAML 37 0 0 10 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning Ujjwal Upadhyay Prerana Mukherjee 78 7 0 09 Dec 2020
Mitigating the Impact of Adversarial Attacks in Very Deep Networks Mohammed Hassanin Ibrahim Radwan Nour Moustafa M. Tahtali Neeraj Kumar AAML 35 6 0 08 Dec 2020