Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Jinpeng, Yang, Xulei, Li, Tianrui, Xu, Xun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
by: Chen, Tiankai, et al.
Published: (2025)
by: Chen, Tiankai, et al.
Published: (2025)
PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets
by: Li, Haoran, et al.
Published: (2026)
by: Li, Haoran, et al.
Published: (2026)
Desensitizing for Improving Corruption Robustness in Point Cloud Classification through Adversarial Training
by: Tian, Zhiqiang, et al.
Published: (2025)
by: Tian, Zhiqiang, et al.
Published: (2025)
Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness
by: Alonso, Pedro, et al.
Published: (2026)
by: Alonso, Pedro, et al.
Published: (2026)
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
by: Su, Yongyi, et al.
Published: (2024)
by: Su, Yongyi, et al.
Published: (2024)
APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
by: Jung, Geunyoung, et al.
Published: (2026)
by: Jung, Geunyoung, et al.
Published: (2026)
A Timely Survey on Vision Transformer for Deepfake Detection
by: Wang, Zhikan, et al.
Published: (2024)
by: Wang, Zhikan, et al.
Published: (2024)
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model Selection
by: Li, Yushu, et al.
Published: (2024)
by: Li, Yushu, et al.
Published: (2024)
Utilizing the Mean Teacher with Supcontrast Loss for Wafer Pattern Recognition
by: Wei, Qiyu, et al.
Published: (2024)
by: Wei, Qiyu, et al.
Published: (2024)
Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation
by: You, Lechun, et al.
Published: (2025)
by: You, Lechun, et al.
Published: (2025)
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving
by: Lin, Jinpeng, et al.
Published: (2022)
by: Lin, Jinpeng, et al.
Published: (2022)
On-the-fly Point Feature Representation for Point Clouds Analysis
by: Wang, Jiangyi, et al.
Published: (2024)
by: Wang, Jiangyi, et al.
Published: (2024)
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks
by: Li, Haosheng, et al.
Published: (2025)
by: Li, Haosheng, et al.
Published: (2025)
PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
by: Jiang, Linlian, et al.
Published: (2025)
by: Jiang, Linlian, et al.
Published: (2025)
SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
by: Bahri, Ali, et al.
Published: (2025)
by: Bahri, Ali, et al.
Published: (2025)
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
by: Lou, Tianrui, et al.
Published: (2024)
by: Lou, Tianrui, et al.
Published: (2024)
Stealthy and Robust Backdoor Attack against 3D Point Clouds through Additional Point Features
by: Ning, Xiaoyang, et al.
Published: (2024)
by: Ning, Xiaoyang, et al.
Published: (2024)
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
by: Huang, Yuanmin, et al.
Published: (2025)
by: Huang, Yuanmin, et al.
Published: (2025)
SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
by: Li, Zhaoyang, et al.
Published: (2026)
by: Li, Zhaoyang, et al.
Published: (2026)
SODA: Out-of-Distribution Detection in Domain-Shifted Point Clouds via Neighborhood Propagation
by: Goodge, Adam, et al.
Published: (2025)
by: Goodge, Adam, et al.
Published: (2025)
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation
by: Shim, Hajin, et al.
Published: (2024)
by: Shim, Hajin, et al.
Published: (2024)
Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation
by: Chen, Huizhou, et al.
Published: (2024)
by: Chen, Huizhou, et al.
Published: (2024)
DiffPCN: Latent Diffusion Model Based on Multi-view Depth Images for Point Cloud Completion
by: Li, Zijun, et al.
Published: (2025)
by: Li, Zijun, et al.
Published: (2025)
LLM-Guided Taxonomy and Hierarchical Uncertainty for 3D Point Cloud Active Learning
by: Li, Chenxi, et al.
Published: (2025)
by: Li, Chenxi, et al.
Published: (2025)
T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition
by: Yang, Zhiyuan, et al.
Published: (2024)
by: Yang, Zhiyuan, et al.
Published: (2024)
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions
by: Wang, Jie, et al.
Published: (2024)
by: Wang, Jie, et al.
Published: (2024)
Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders
by: Alonso, Pedro, et al.
Published: (2025)
by: Alonso, Pedro, et al.
Published: (2025)
ModelNet40-E: An Uncertainty-Aware Benchmark for Point Cloud Classification
by: Alonso, Pedro, et al.
Published: (2025)
by: Alonso, Pedro, et al.
Published: (2025)
Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection
by: Huang, Yuhao, et al.
Published: (2023)
by: Huang, Yuhao, et al.
Published: (2023)
SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud Tracking
by: Lin, Yu, et al.
Published: (2024)
by: Lin, Yu, et al.
Published: (2024)
Point Cloud Quantization through Multimodal Prompting for 3D Understanding
by: Li, Hongxuan, et al.
Published: (2025)
by: Li, Hongxuan, et al.
Published: (2025)
Certified L2-Norm Robustness of 3D Point Cloud Recognition in the Frequency Domain
by: Zhou, Liang, et al.
Published: (2025)
by: Zhou, Liang, et al.
Published: (2025)
Future-Aware Interaction Network For Motion Forecasting
by: Li, Shijie, et al.
Published: (2025)
by: Li, Shijie, et al.
Published: (2025)
Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
by: Wu, Lintai, et al.
Published: (2024)
by: Wu, Lintai, et al.
Published: (2024)
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models
by: Dastmalchi, Hamidreza, et al.
Published: (2024)
by: Dastmalchi, Hamidreza, et al.
Published: (2024)
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions
by: Du, Keyu, et al.
Published: (2025)
by: Du, Keyu, et al.
Published: (2025)
An Efficient 3D Convolutional Neural Network with Channel-wise, Spatial-grouped, and Temporal Convolutions
by: Wang, Zhe, et al.
Published: (2025)
by: Wang, Zhe, et al.
Published: (2025)
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization
by: Su, Yongyi, et al.
Published: (2023)
by: Su, Yongyi, et al.
Published: (2023)
KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition
by: Chen, Zhaoyu, et al.
Published: (2024)
by: Chen, Zhaoyu, et al.
Published: (2024)
Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion
by: Liu, Yifan, et al.
Published: (2025)
by: Liu, Yifan, et al.
Published: (2025)
Similar Items
-
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
by: Chen, Tiankai, et al.
Published: (2025) -
PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets
by: Li, Haoran, et al.
Published: (2026) -
Desensitizing for Improving Corruption Robustness in Point Cloud Classification through Adversarial Training
by: Tian, Zhiqiang, et al.
Published: (2025) -
Beyond Defenses: Manifold-Aligned Regularization for Intrinsic 3D Point Cloud Robustness
by: Alonso, Pedro, et al.
Published: (2026) -
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
by: Su, Yongyi, et al.
Published: (2024)