PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack

14 September 2022

Chunming Qiao

Papers citing "PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack"

33 / 33 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 217 30,089 0 01 Mar 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 41 13 0 23 Feb 2022
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan Sijia Liu Pin-Yu Chen Gaoyuan Zhang Chuang Gan AAML VLM 46 122 0 01 Nov 2021
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds Siyuan Huang Yichen Xie Song-Chun Zhu Yixin Zhu 3DPC 67 206 0 01 Sep 2021
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 105 103 0 01 Nov 2020
Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang Tianlong Chen Ting-Li Chen Zhangyang Wang 79 231 0 26 Oct 2020
IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration Ziyi Wu Yueqi Duan He Wang Qingnan Fan Leonidas Guibas 3DPC 43 61 0 11 Oct 2020
Self-supervised Learning of Point Clouds via Orientation Estimation Omid Poursaeed Tianxing Jiang Quintessa Qiao N. Xu Vladimir G. Kim 3DPC SSL 50 119 0 01 Aug 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas Guibas Or Litany 3DPC 196 634 0 21 Jul 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy Sijia Liu Gaoyuan Zhang Cynthia Liu Pin-Yu Chen Shiyu Chang Luca Daniel AAML FAtt 112 66 0 26 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 325 6,773 0 13 Jun 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 58 249 0 13 Jun 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 139 4,520 0 23 Apr 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 55 247 0 28 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 312 18,686 0 13 Feb 2020
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 57 521 0 28 May 2019
Robust Attribution Regularization Jiefeng Chen Xi Wu Vaibhav Rastogi Yingyu Liang S. Jha OOD 34 83 0 23 May 2019
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 119 1,242 0 29 Apr 2019
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers Daniel Liu Ronald Yu Hao Su 3DPC 68 168 0 10 Jan 2019
Generating 3D Adversarial Point Clouds Chong Xiang C. Qi Yue Liu 3DPC 103 291 0 19 Sep 2018
Multiresolution Tree Networks for 3D Point Cloud Processing Matheus Gadelha Rui Wang Subhransu Maji 3DV 3DPC 70 255 0 10 Jul 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 183 3,180 0 01 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 246 6,119 0 24 Jan 2018
PU-Net: Point Cloud Upsampling Network Lequan Yu Xianzhi Li Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 74 577 0 21 Jan 2018
Learning Representations and Generative Models for 3D Point Clouds Panos Achlioptas Olga Diamanti Ioannis Mitliagkas Leonidas Guibas 3DV 3DPC 66 88 0 08 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 259 12,029 0 19 Jun 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 143 2,732 0 13 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 435 14,264 0 02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 281 1,952 0 24 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 214 8,533 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 517 5,885 0 08 Jul 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 118 5,508 0 09 Dec 2015
Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds Yani Andrew Ioannou Babak Taati R. Harrap Michael A. Greenspan 3DPC 44 175 0 08 Sep 2012