Explainability-Aware One Point Attack for Point Cloud Neural Networks

8 October 2021

Papers citing "Explainability-Aware One Point Attack for Point Cloud Neural Networks"

45 / 45 papers shown

Title
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework Xu Ma Can Qin Haoxuan You Haoxi Ran Y. Fu 3DPC 45 594 0 15 Feb 2022
Surrogate Model-Based Explainability Methods for Point Cloud NNs Hanxiao Tan Helena Kotthaus 3DPC 40 28 0 28 Jul 2021
3D Adversarial Attacks Beyond Point Cloud Jinlai Zhang Lyujie Chen Binbin Liu Bojun Ouyang Qizhi Xie Jihong Zhu Weiming Li Yanmei Meng 3DPC 55 39 0 25 Apr 2021
PointBA: Towards Backdoor Attacks in 3D Point Cloud Xinke Li Zhirui Chen Yue Zhao Zekun Tong Yabang Zhao A. Lim Qiufeng Wang 3DPC AAML 111 52 0 30 Mar 2021
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks Kieran Browne Ben Swift AAML GAN 45 30 0 18 Dec 2020
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks Jiachen Sun Karl Koenig Yulong Cao Qi Alfred Chen Z. Morley Mao 3DPC 56 20 0 24 Nov 2020
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 48 773 0 16 Nov 2020
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks Hang Zhou Dongdong Chen Jing Liao Weiming Zhang Kejiang Chen Xiaoyi Dong Kunlin Liu G. Hua Nenghai Yu 3DPC 110 103 0 01 Nov 2020
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds Jaeyeon Kim Binh-Son Hua D. Nguyen Sai-Kit Yeung 3DPC 81 55 0 27 Aug 2020
3D Point Cloud Feature Explanations Using Gradient-Based Methods A. Gupta Simon Watson Hujun Yin 3DPC 33 28 0 09 Jun 2020
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI) Mark T. Keane Barry Smyth CML 66 146 0 26 May 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds Kibok Lee Zhuoyuan Chen Xinchen Yan R. Urtasun Ersin Yumer 3DPC 48 32 0 24 May 2020
Multi-Objective Counterfactual Explanations Susanne Dandl Christoph Molnar Martin Binder B. Bischl 57 258 0 23 Apr 2020
On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks Yue Zhao Yuwei Wu Caihua Chen A. Lim 3DPC 64 72 0 27 Feb 2020
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds Abdullah Hamdi Sara Rojas Ali K. Thabet Guohao Li AAML 3DPC 73 129 0 01 Dec 2019
Understanding Neural Networks via Feature Visualization: A survey Anh Nguyen J. Yosinski Jeff Clune FAtt 63 161 0 18 Apr 2019
Counterfactual Visual Explanations Yash Goyal Ziyan Wu Jan Ernst Dhruv Batra Devi Parikh Stefan Lee CML 75 510 0 16 Apr 2019
Robustness of 3D Deep Learning in an Adversarial Setting Matthew Wicker Marta Kwiatkowska 3DPC 44 98 0 01 Apr 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 58 125 0 28 Feb 2019
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers Daniel Liu Ronald Yu Hao Su 3DPC 77 169 0 10 Jan 2019
PointCloud Saliency Maps Tianhang Zheng Changyou Chen Junsong Yuan Bo Li K. Ren 3DPC 56 214 0 28 Nov 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 123 1,963 0 08 Oct 2018
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Yue Liu 3DPC 106 291 0 19 Sep 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,132 0 24 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 89 1,867 0 02 Jan 2018
One pixel attack for fooling deep neural networks Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 117 2,323 0 24 Oct 2017
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 199 2,221 0 12 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 331 11,062 0 07 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,815 0 22 May 2017
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 188 3,869 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,986 0 04 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 465 14,264 0 02 Dec 2016
Gradients of Counterfactuals Mukund Sundararajan Ankur Taly Qiqi Yan FAtt 46 104 0 08 Nov 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 243 8,548 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 517 5,893 0 08 Jul 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.1K 16,931 0 16 Feb 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 54 329 0 11 Feb 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 66 3,676 0 08 Feb 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 149 5,522 0 09 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 140 4,895 0 14 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 150,006 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 240 4,667 0 21 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 250 19,017 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 253 14,912 1 21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 301 7,289 0 20 Dec 2013