v1v2v3v4 (latest)

Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 2,769 papers shown

Title
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 114 55 0 01 Mar 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang Aishan Liu Zixin Yin Shunchang Liu Shiyu Tang Xianglong Liu AAML 226 203 0 01 Mar 2021
Effective Universal Unrestricted Adversarial Attacks using a MOE Approach Alina Elena Baia G. D. Bari V. Poggioni AAML 72 8 0 27 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 97 53 0 26 Feb 2021
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks Huichen Li Linyi Li Xiaojun Xu Xiaolu Zhang Shuang Yang Yue Liu AAML 80 17 0 25 Feb 2021
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints Maura Pintor Fabio Roli Wieland Brendel Battista Biggio AAML 92 73 0 25 Feb 2021
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks Ginevra Carbone G. Sanguinetti Luca Bortolussi FAtt AAML 78 4 0 22 Feb 2021
Effective and Efficient Vote Attack on Capsule Networks Jindong Gu Baoyuan Wu Volker Tresp AAML 70 27 0 19 Feb 2021
Random Projections for Improved Adversarial Robustness Ginevra Carbone G. Sanguinetti Luca Bortolussi AAML 70 2 0 18 Feb 2021
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Hairong Qi AAML 127 15 0 17 Feb 2021
Domain Impression: A Source Data Free Domain Adaptation Method V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri TTA 217 152 0 17 Feb 2021
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings Pranav Rajpurkar Anirudh Joshi Anuj Pareek A. Ng M. Lungren OOD 107 14 0 17 Feb 2021
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation Adil Kaan Akan Emre Akbas Fatoş T. Yarman Vural AAML 33 3 0 16 Feb 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 88 25 0 15 Feb 2021
And/or trade-off in artificial neurons: impact on adversarial robustness A. Fontana AAML 45 0 0 15 Feb 2021
Generating Structured Adversarial Attacks Using Frank-Wolfe Method Ehsan Kazemi Thomas Kerdreux Liquang Wang AAML DiffM 53 1 0 15 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 95 138 0 14 Feb 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 96 49 0 14 Feb 2021
Mixed Nash Equilibria in the Adversarial Examples Game Laurent Meunier M. Scetbon Rafael Pinot Jamal Atif Y. Chevaleyre AAML 91 30 0 13 Feb 2021
RoBIC: A benchmark suite for assessing classifiers robustness Thibault Maho Benoît Bonnet Teddy Furon Erwan Le Merrer AAML 56 4 0 10 Feb 2021
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes Yael Mathov Lior Rokach Yuval Elovici 52 5 0 10 Feb 2021
Adversarial Perturbations Are Not So Weird: Entanglement of Robust and Non-Robust Features in Neural Network Classifiers Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 58 13 0 09 Feb 2021
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Sahar Abdelnabi Mario Fritz AAML 44 7 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 67 52 0 09 Feb 2021
A Real-time Defense against Website Fingerprinting Attacks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 55 19 0 08 Feb 2021
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 90 33 0 08 Feb 2021
Adversarial Imaging Pipelines Buu Phan Fahim Mannan Felix Heide AAML 56 26 0 07 Feb 2021
Adversarial example generation with AdaBelief Optimizer and Crop Invariance Bo Yang Hengwei Zhang Yuchen Zhang Kaiyong Xu Jin-dong Wang AAML 71 29 0 07 Feb 2021
HGAN: Hybrid Generative Adversarial Network Seyed Mehdi Iranmanesh Nasser M. Nasrabadi GAN 37 4 0 07 Feb 2021
Extremal learning: extremizing the output of a neural network in regression problems Zakaria Patel M. Rummel 45 4 0 06 Feb 2021
Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles Haowei Sun Shuo Feng Xintao Yan Henry X. Liu AAML 79 54 0 06 Feb 2021
Robust Single-step Adversarial Training with Regularizer Lehui Xie Yaopeng Wang Jianwei Yin Ximeng Liu AAML 56 1 0 05 Feb 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 127 25 0 04 Feb 2021
Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised Viviane Clay Peter König G. Pipa Kai-Uwe Kühnberger 60 1 0 03 Feb 2021
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks Yixiang Wang Jiqiang Liu Xiaolin Chang J. Misic Vojislav B. Mišić AAML 69 12 0 03 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 196 496 0 02 Feb 2021
Forensicability of Deep Neural Network Inference Pipelines Alexander Schlögl Tobias Kupek Rainer Böhme 33 5 0 01 Feb 2021
Towards Speeding up Adversarial Training in Latent Spaces Yaguan Qian Qiqi Shao Tengteng Yao Bin Wang Shouling Ji Shaoning Zeng Zhaoquan Gu Wassim Swaileh AAML 40 4 0 01 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 153 201 0 31 Jan 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 71 15 0 28 Jan 2021
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting F. Nesti Alessandro Biondi Giorgio Buttazzo AAML 64 41 0 27 Jan 2021
Meta Adversarial Training against Universal Patches J. H. Metzen Nicole Finnie Robin Hutmacher OOD AAML 112 21 0 27 Jan 2021
Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers Xinwei Zhao Matthew C. Stamm AAML 47 3 0 26 Jan 2021
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems Utku Ozbulak Baptist Vandersmissen A. Jalalvand Ivo Couckuyt Arnout Van Messem W. D. Neve AAML 31 19 0 26 Jan 2021
Generalizing Adversarial Examples by AdaBelief Optimizer Yixiang Wang Jiqiang Liu Xiaolin Chang AAML 29 1 0 25 Jan 2021
A Comprehensive Evaluation Framework for Deep Model Robustness Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xing Gao Gang Xiao Aishan Liu Zehao Zhao Xianglong Liu Wenjun Wu AAML ELM 97 61 0 24 Jan 2021
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network Xinwei Zhao Chen Chen Matthew C. Stamm GAN AAML 41 4 0 23 Jan 2021
A Person Re-identification Data Augmentation Method with Adversarial Defense Effect Yunpeng Gong Zhiyong Zeng Liwen Chen Yi-Xiao Luo Bin Weng Feng Ye AAML 83 19 0 21 Jan 2021
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition Valeriia Cherepanova Micah Goldblum Harrison Foley Shiyuan Duan John P. Dickerson Gavin Taylor Tom Goldstein AAML PICV 79 136 0 20 Jan 2021
Internet of Predictable Things (IoPT) Framework to Increase Cyber-Physical System Resiliency Umit Cali Murat Kuzlu Vinayak Sharma M. Pipattanasomporn Ferhat Ozgur Catak 18 1 0 19 Jan 2021