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IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration

11 October 2020

Yueqi Duan

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Papers citing "IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration"

29 / 29 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,149 0 01 Mar 2022
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 115 103 0 01 Nov 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 347 990 0 10 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 541 42,591 0 03 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds Abdullah Hamdi Sara Rojas Ali K. Thabet Guohao Li AAML 3DPC 88 131 0 01 Dec 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 169 2,541 0 18 Apr 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis Yongcheng Liu Bin Fan Shiming Xiang Chunhong Pan 3DPC 107 896 0 16 Apr 2019
Adversarial Attack and Defense on Point Sets Jiancheng Yang Qiang Zhang Rongyao Fang Bingbing Ni Jinxian Liu Qi Tian 3DPC 68 125 0 28 Feb 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 98 905 0 18 Feb 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 133 3,705 0 16 Jan 2019
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers Daniel Liu Ronald Yu Hao Su 3DPC 77 170 0 10 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 251 2,907 0 10 Dec 2018
Learning Implicit Fields for Generative Shape Modeling Zhiqin Chen Hao Zhang AI4CE 3DV 150 1,638 0 06 Dec 2018
PointCloud Saliency Maps Tianhang Zheng Changyou Chen Junsong Yuan Bo Li K. Ren 3DPC 68 215 0 28 Nov 2018
PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu Zhongang Qi Fuxin Li 3DPC 144 1,569 0 17 Nov 2018
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Yue Liu 3DPC 106 294 0 19 Sep 2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds Pedro Hermosilla Tobias Ritschel Pere-Pau Vázquez À. Vinacua Timo Ropinski 3DPC 107 260 0 05 Jun 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,169 0 24 Jan 2018
PU-Net: Point Cloud Upsampling Network Lequan Yu Xianzhi Li Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 78 578 0 21 Jan 2018
Mitigating Adversarial Effects Through Randomization Cihang Xie Jianyu Wang Zhishuai Zhang Zhou Ren Alan Yuille AAML 115 1,061 0 06 Nov 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 366 11,142 0 07 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 493 14,360 0 02 Dec 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 150 2,533 0 26 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 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 172 5,538 0 09 Dec 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 154 4,905 0 14 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 113 3,076 0 14 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014