Adversarial examples in the physical world

8 July 2016

Papers citing "Adversarial examples in the physical world"

50 / 1,598 papers shown

Title
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints Xing Hu Ling Liang Lei Deng Shuangchen Li Xinfeng Xie Yu Ji Yufei Ding Chang Liu T. Sherwood Yuan Xie AAML MLAU 13 36 0 10 Mar 2019
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 8 2 0 10 Mar 2019
Complement Objective Training Hao-Yun Chen Pei-Hsin Wang Chun-Hao Liu Shih-Chieh Chang Jia-Yu Pan Yutian Chen Wei Wei Da-Cheng Juan AAML 8 46 0 04 Mar 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations Saeid Asgari Taghanaki Kumar Abhishek Shekoofeh Azizi Ghassan Hamarneh AAML 23 40 0 03 Mar 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 16 122 0 28 Feb 2019
Single-frame Regularization for Temporally Stable CNNs Gabriel Eilertsen Rafał K. Mantiuk Jonas Unger 11 43 0 27 Feb 2019
Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems Meysam Sadeghi Erik G. Larsson AAML 20 112 0 22 Feb 2019
Quantifying Perceptual Distortion of Adversarial Examples Matt Jordan N. Manoj Surbhi Goel A. Dimakis 11 38 0 21 Feb 2019
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples Kevin Roth Yannic Kilcher Thomas Hofmann AAML 11 175 0 13 Feb 2019
A New Family of Neural Networks Provably Resistant to Adversarial Attacks Rakshit Agrawal Luca de Alfaro D. Helmbold AAML OOD 17 2 0 01 Feb 2019
Adversarial Metric Attack and Defense for Person Re-identification S. Bai Yingwei Li Yuyin Zhou Qizhu Li Philip H. S. Torr AAML 6 17 0 30 Jan 2019
RED-Attack: Resource Efficient Decision based Attack for Machine Learning Faiq Khalid Hassan Ali Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Muhammad Shafique AAML 23 14 0 29 Jan 2019
Weighted-Sampling Audio Adversarial Example Attack Xiaolei Liu Xiaosong Zhang Kun Wan Qingxin Zhu Yufei Ding DiffM AAML 17 36 0 26 Jan 2019
A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm Xiaolei Liu Yuheng Luo Xiaosong Zhang Qingxin Zhu AAML 14 16 0 26 Jan 2019
Improving Adversarial Robustness via Promoting Ensemble Diversity Tianyu Pang Kun Xu Chao Du Ning Chen Jun Zhu AAML 19 434 0 25 Jan 2019
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System Huangxun Chen Chenyu Huang Qianyi Huang Qian Zhang Wei Wang AAML 23 26 0 12 Jan 2019
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers Daniel Liu Ronald Yu Hao Su 3DPC 18 165 0 10 Jan 2019
Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study Xurong Li S. Ji Men Han Juntao Ji Zhenyu Ren Yushan Liu Chunming Wu AAML 19 31 0 04 Jan 2019
Data Fine-tuning S. Chhabra P. Majumdar Mayank Vatsa Richa Singh AAML 8 13 0 10 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 13 60 0 10 Dec 2018
Continuous User Authentication by Contactless Wireless Sensing Fei Wang Zhenjiang Li Jinsong Han 14 19 0 04 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
A randomized gradient-free attack on ReLU networks Francesco Croce Matthias Hein AAML 21 21 0 28 Nov 2018
Image Reconstruction with Predictive Filter Flow Shu Kong Charless C. Fowlkes SupR 13 13 0 28 Nov 2018
Mathematical Analysis of Adversarial Attacks Zehao Dou Stanley J. Osher Bao Wang AAML 12 18 0 15 Nov 2018
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation Zhengwei Wang Graham Healy A. Smeaton T. Ward EGVM 31 37 0 10 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 21 64 0 08 Nov 2018
CAAD 2018: Iterative Ensemble Adversarial Attack Jiayang Liu Weiming Zhang Nenghai Yu AAML 17 4 0 07 Nov 2018
MeshAdv: Adversarial Meshes for Visual Recognition Chaowei Xiao Dawei Yang Bo-wen Li Jia Deng M. Liu AAML 10 25 0 11 Oct 2018
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 17 155 0 05 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 9 67 0 30 Sep 2018
Fast Geometrically-Perturbed Adversarial Faces Ali Dabouei Sobhan Soleymani J. Dawson Nasser M. Nasrabadi CVBM AAML 13 65 0 24 Sep 2018
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Bo-wen Li 3DPC 8 286 0 19 Sep 2018
Query-Efficient Black-Box Attack by Active Learning Pengcheng Li Jinfeng Yi Lijun Zhang AAML MLAU 11 54 0 13 Sep 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos R. Rey-de-Castro H. Rabitz AAML 14 10 0 27 Aug 2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection Mahdieh Abbasi Arezoo Rajabi A. Mozafari R. Bobba Christian Gagné AAML 16 9 0 21 Aug 2018
Kernel Flows: from learning kernels from data into the abyss H. Owhadi G. Yoo 11 88 0 13 Aug 2018
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection Xiao Chen Chaoran Li Derui Wang S. Wen Jun Zhang Surya Nepal Yang Xiang K. Ren AAML 11 240 0 10 Aug 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 26 13 0 08 Aug 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 31 226 0 18 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip H. S. Torr AAML 6 70 0 11 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks Saeid Asgari Taghanaki A. Das Ghassan Hamarneh MedIm 27 52 0 09 Jul 2018
Adversarial Examples in Deep Learning: Characterization and Divergence Wenqi Wei Ling Liu Margaret Loper Stacey Truex Lei Yu Mehmet Emre Gursoy Yanzhao Wu AAML SILM 26 18 0 29 Jun 2018
Non-Negative Networks Against Adversarial Attacks William Fleshman Edward Raff Jared Sylvester Steven Forsyth Mark McLean AAML 14 40 0 15 Jun 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 24 557 0 30 May 2018
Virtuously Safe Reinforcement Learning Henrik Aslund El-Mahdi El-Mhamdi R. Guerraoui Alexandre Maurer 12 5 0 29 May 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification Dimitrios Milios Raffaello Camoriano Pietro Michiardi Lorenzo Rosasco Maurizio Filippone UQCV 17 74 0 28 May 2018
Defending Against Adversarial Attacks by Leveraging an Entire GAN G. Santhanam Paulina Grnarova AAML 6 40 0 27 May 2018
Cautious Deep Learning Yotam Hechtlinger Barnabás Póczós Larry A. Wasserman 17 62 0 24 May 2018
Towards the first adversarially robust neural network model on MNIST Lukas Schott Jonas Rauber Matthias Bethge Wieland Brendel AAML OOD 12 368 0 23 May 2018