Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

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Title
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation Amir Atapour-Abarghouei Stephen Bonner A. Mcgough 12 7 0 19 Aug 2019
Implicit Deep Learning L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 34 176 0 17 Aug 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin Chuanbiao Song Kun He Liwei Wang J. Hopcroft AAML 11 552 0 17 Aug 2019
Adversarial shape perturbations on 3D point clouds Daniel Liu Ronald Yu Hao Su 3DPC 17 12 0 16 Aug 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Jiangfan Han Xiaoyi Dong Ruimao Zhang Dongdong Chen Weiming Zhang Nenghai Yu Ping Luo Xiaogang Wang AAML 11 28 0 14 Aug 2019
Defending Against Adversarial Iris Examples Using Wavelet Decomposition Sobhan Soleymani Ali Dabouei J. Dawson Nasser M. Nasrabadi AAML 17 9 0 08 Aug 2019
Universal Adversarial Audio Perturbations Sajjad Abdoli L. G. Hafemann Jérôme Rony Ismail Ben Ayed P. Cardinal Alessandro Lameiras Koerich AAML 25 51 0 08 Aug 2019
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation Utku Ozbulak Arnout Van Messem W. D. Neve MedIm AAML 10 60 0 30 Jul 2019
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 20 54 0 26 Jul 2019
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 36 1,417 0 16 Jul 2019
Measuring the Transferability of Adversarial Examples D. Petrov Timothy M. Hospedales SILM AAML 13 23 0 14 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong Junfeng Guo Ang Li Cong Liu AAML 25 126 0 09 Jul 2019
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions Yao Qin Nicholas Frosst S. Sabour Colin Raffel G. Cottrell Geoffrey E. Hinton GAN AAML 17 71 0 05 Jul 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 24 474 0 03 Jul 2019
Learning to Cope with Adversarial Attacks Xian Yeow Lee Aaron J. Havens Girish Chowdhary S. Sarkar AAML 17 5 0 28 Jun 2019
Evolving Robust Neural Architectures to Defend from Adversarial Attacks Shashank Kotyan Danilo Vasconcellos Vargas OOD AAML 11 36 0 27 Jun 2019
Defending Adversarial Attacks by Correcting logits Yifeng Li Lingxi Xie Ya-Qin Zhang Rui Zhang Yanfeng Wang Qi Tian AAML 18 5 0 26 Jun 2019
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection Kang Liu Haoyu Yang Yuzhe Ma Benjamin Tan Bei Yu Evangeline F. Y. Young Ramesh Karri S. Garg AAML 7 10 0 25 Jun 2019
Perceptual Based Adversarial Audio Attacks Joseph Szurley J. Zico Kolter AAML 11 25 0 14 Jun 2019
Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation Thanh-Binh Tran Renee Sweeney Kyumin Lee 17 32 0 08 Jun 2019
Robustness for Non-Parametric Classification: A Generic Attack and Defense Yao-Yuan Yang Cyrus Rashtchian Yizhen Wang Kamalika Chaudhuri SILM AAML 24 42 0 07 Jun 2019
Multi-way Encoding for Robustness Donghyun Kim Sarah Adel Bargal Jianming Zhang Stan Sclaroff AAML 8 2 0 05 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li R. Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 21 2 0 04 Jun 2019
Enhancing Transformation-based Defenses using a Distribution Classifier C. Kou H. Lee E. Chang Teck Khim Ng 23 3 0 01 Jun 2019
Residual Networks as Nonlinear Systems: Stability Analysis using Linearization Kai Rothauge Z. Yao Zixi Hu Michael W. Mahoney 11 2 0 31 May 2019
Certifiably Robust Interpretation in Deep Learning Alexander Levine Sahil Singla S. Feizi FAtt AAML 13 63 0 28 May 2019
Scaleable input gradient regularization for adversarial robustness Chris Finlay Adam M. Oberman AAML 8 77 0 27 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks Tianyuan Zhang Zhanxing Zhu AAML GAN FAtt 14 157 0 23 May 2019
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating Giulio Lovisotto Simon Eberz Ivan Martinovic AAML 11 35 0 22 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors Yuchi Tian Ziyuan Zhong Vicente Ordonez Gail E. Kaiser Baishakhi Ray 14 52 0 20 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain Lei Bu Yuchao Duan Fu Song Zhe Zhao AAML 18 18 0 19 May 2019
What Do Adversarially Robust Models Look At? Takahiro Itazuri Yoshihiro Fukuhara Hirokatsu Kataoka Shigeo Morishima 11 5 0 19 May 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks Ching-Yun Ko Zhaoyang Lyu Tsui-Wei Weng Luca Daniel Ngai Wong Dahua Lin AAML 15 75 0 17 May 2019
AI Enabling Technologies: A Survey V. Gadepally Justin A. Goodwin J. Kepner Albert Reuther Hayley Reynolds S. Samsi Jonathan Su David Martinez 19 24 0 08 May 2019
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks Saima Sharmin Priyadarshini Panda Syed Shakib Sarwar Chankyu Lee Wachirawit Ponghiran Kaushik Roy AAML 14 64 0 07 May 2019
Test Selection for Deep Learning Systems Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 13 91 0 30 Apr 2019
Data Poisoning Attack against Knowledge Graph Embedding Hengtong Zhang T. Zheng Jing Gao Chenglin Miao Lu Su Yaliang Li K. Ren KELM 10 81 0 26 Apr 2019
Adversarial Defense Through Network Profiling Based Path Extraction Yuxian Qiu Jingwen Leng Cong Guo Quan Chen C. Li M. Guo Yuhao Zhu AAML 14 50 0 17 Apr 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 17 827 0 05 Apr 2019
Interpreting Adversarial Examples by Activation Promotion and Suppression Kaidi Xu Sijia Liu Gaoyuan Zhang Mengshu Sun Pu Zhao Quanfu Fan Chuang Gan X. Lin AAML FAtt 8 43 0 03 Apr 2019
Curls & Whey: Boosting Black-Box Adversarial Attacks Yucheng Shi Siyu Wang Yahong Han AAML 11 116 0 02 Apr 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks Aamir Mustafa Salman Khan Munawar Hayat Roland Göcke Jianbing Shen Ling Shao AAML 9 151 0 01 Apr 2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs Xiao Zhang Dongrui Wu AAML 8 81 0 31 Mar 2019
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks Francesco Croce Jonas Rauber Matthias Hein AAML 20 30 0 27 Mar 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization Yuchen Zhang Percy Liang AAML 14 75 0 25 Mar 2019
The LogBarrier adversarial attack: making effective use of decision boundary information Chris Finlay Aram-Alexandre Pooladian Adam M. Oberman AAML 18 25 0 25 Mar 2019
Variational Inference with Latent Space Quantization for Adversarial Resilience Vinay Kyatham P. PrathoshA. Tarun Kumar Yadav Deepak Mishra Dheeraj Mundhra AAML 6 3 0 24 Mar 2019
Scalable Differential Privacy with Certified Robustness in Adversarial Learning Nhathai Phan My T. Thai Han Hu R. Jin Tong Sun Dejing Dou 13 14 0 23 Mar 2019
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition Yao Qin Nicholas Carlini Ian Goodfellow G. Cottrell Colin Raffel AAML 19 376 0 22 Mar 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systems Juncheng Billy Li Frank R. Schmidt J. Zico Kolter AAML 11 164 0 21 Mar 2019