Fetching the paper…
Reading the bibliography…
Deep neural networks are prone to adversarial examples that maliciously alter the network's outcome.
Reducing the Dimensionality of Data with Neural Networks
G. E. Hinton and R. R. Salakhutdinov · 2006
Earlier work this paper cites.
Auto-Encoding Variational Bayes
D. P. Kingma and M. Welling · 2014
Earlier work this paper cites.
ShapeNet: An Information-Rich 3D Model Repository
A. X. Chang, T. Funkhouser, L. J. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
Earlier work this paper cites.
Explaining and Harnessing Adversarial Examples
I. J. Goodfellow, J. Shlens, and C. Szegedy · 2015
Earlier work this paper cites.
3D ShapeNets: A Deep Representation for Volumetric Shapes
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao · 2015
Earlier work this paper cites.
The Limitations of Deep Learning in Adversarial Settings
N. Papernot, P. McDaniel, S. Jha, M. Fredrikson, Z. B. Celik, and A. Swami · 2016
Earlier work this paper cites.
Towards Evaluating the Robustness of Neural Networks
N. Carlini and D. Wagner · 2017
Earlier work this paper cites.
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
H. Fan, H. Su, and L. Guibas · 2017
Earlier work this paper cites.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2017
Earlier work this paper cites.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
Earlier work this paper cites.
SEGCloud: Semantic Segmentation of 3D Point Clouds
L. P. Tchapmi, C. B. Choy, I. Armeni, J. Gwak, and S. Savarese · 2017
Earlier work this paper cites.
Learning Representations and Generative Models for 3D Point Clouds
P. Achlioptas, O. Diamanti, I. Mitliagkas, and L. J. Guibas · 2018
Earlier work this paper cites.
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
T. Groueix, M. Fisher, V. G. Kim, B. C. Russell, and M. Aubry · 2018
Earlier work this paper cites.
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
L. Landrieu and M. Simonovsky · 2018
Earlier work this paper cites.
SO-Net: Self-Organizing Network for Point Cloud Analysis
J. Li, B. M. Chen, and G. H. Lee · 2018
Earlier work this paper cites.
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation
Y. Yang, C. Feng, Y. Shen, and D. Tian · 2018
Earlier work this paper cites.
PU-Net: Point Cloud Upsampling Network
L. Yu, X. Li, C.-W. Fu, D. Cohen-Or, and P. A. Heng · 2018
Earlier work this paper cites.
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems
Y. Cao, C. Xiao, D. Yang, J. Fang, R. Yang, M. Liu, and B. Li · 2019
Cited alongside, same era.
Learning Implicit Fields for Generative Shape Modeling
Z. Chen and H. Zhang · 2019
Cited alongside, same era.
Learning to Sample
O. Dovrat, I. Lang, and S. Avidan · 2019
Cited alongside, same era.
SDM-NET: Deep Generative Network for Structured Deformable Mesh
L. Gao, J. Yang, T. Wu, Y.-J. Yuan, H. Fu, Y.-K. Lai, and H. Zhang · 2019
Cited alongside, same era.
Total denoising: Unsupervised learning of 3d point cloud cleaning
P. Hermosilla, T. Ritschel, and T. Ropinski · 2019
Cited alongside, same era.
PU-GAN: a Point Cloud Upsampling Adversarial Network
R. Li, X. Li, C.-W. Fu, D. Cohen-Or, and P.-A. Heng · 2019
Adversarial Attack and Defense on Point Sets
J. Yang, Q. Zhang, R. Fang, B. Ni, J. Liu, and T. Qi · 2019
Later among the works it cites.
3D Point Capsule Networks
Y. Zhao, T. Birdal, H. Deng, and F. Tombari · 2019
Later among the works it cites.
PointCloud Saliency Maps
T. Zheng, C. Chen, J. Yuan, B. Li, and K. Ren · 2019
Later among the works it cites.
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense
H. Zhou, K. Chen, W. Zhang, H. Fang, W. Zhou, and N. Yu · 2019
Later among the works it cites.
Self-Robust 3D Point Recognition via Gather-Vector Guidance
X. Dong, D. Chen, H. Zhou, G. Hua, W. Zhang, and N. Yu · 2020
Closest in time.
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers
D. Liu, R. Yu, and H. Su · 2019
Cited alongside, same era.
DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing
E. Mehr, A. Jourdan, N. Thome, M. Cord, and V. Guitteny · 2019
Cited alongside, same era.
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder, M. Oechsle, M. Niemeyer, S. Nowozin, and A. Geiger · 2019
Cited alongside, same era.
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
K. Mo, P. Guerrero, L. Yi, H. Su, P. Wonka, N. Mitra, and L. Guibas · 2019
Cited alongside, same era.
Deep Hough Voting for 3D Object Detection in Point Clouds
C. R. Qi, O. Litany, K. He, and L. J. Guibas · 2019
Cited alongside, same era.
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud
S. Shi, X. Wang, and H. Li · 2019
Cited alongside, same era.
A. Hamdi, S. Rojas, A. Thabet, and B. Ghanem · 2020
Closest in time.
SampleNet: Differentiable Point Cloud Sampling
I. Lang, A. Manor, and S. Avidan · 2020
Closest in time.
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
K. Lee, Z. Chen, X. Yan, R. Urtasun, and E. Yumer · 2020
Closest in time.
StructEdit: Learning Structural Shape Variations
K. Mo, P. Guerrero, L. Yi, H. Su, P. Wonka, N. J. Mitra, and L. Guibas · 2020
Closest in time.
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds
M.-J. Rakotosaona, V. La Barbera, P. Guerrero, N. J. Mitra, and M. Ovsjanikov · 2020
Closest in time.
Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures
J. Sun, Y. Cao, Q. A. Chen, and Z. M. Mao · 2020
Closest in time.
Physically Realizable Adversarial Examples for LiDAR Object Detection
J. Tu, M. Ren, S. Manivasagam, M. Liang, B. Yang, R. Du, F. Cheng, and R. Urtasun · 2020
Closest in time.
Cascaded refinement network for point cloud completion
X. Wang, M. H. A. J. , and G. H. Lee · 2020
Closest in time.
Geometry-Aware Generation of Adversarial Point Clouds
Y. Wen, J. Lin, K. Chen, C. L. P. Chen, and K. Jia · 2020
Closest in time.
3DSSD: Point-Based 3D Single Stage Object Detector
Z. Yang, Y. Sun, S. Liu, and J. Jia · 2020
Closest in time.
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks
Y. Zhao, Y. Wu, C. Chen, and A. Lim · 2020
Closest in time.
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks
H. Zhou, D. Chen, J. Liao, K. Chen, X. Dong, K. Liu, W. Zhang, G. Hua, and N. Yu · 2020
Closest in time.