Cover Image

PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gulsen, Mert, Cengiz, Batuhan, Sahin, Yusuf H., Unal, Gozde
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition
by: Cengiz, Batuhan, et al.
Published: (2024)

ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements
by: Aydın, M. Arda, et al.
Published: (2024)

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation
by: Zhou, Chenliang, et al.
Published: (2023)

Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance
by: Zhou, Chenliang, et al.
Published: (2026)

Longitudinal Mammogram Risk Prediction
by: Karaman, Batuhan K., et al.
Published: (2024)

Adversarial Guided Diffusion Models for Adversarial Purification
by: Lin, Guang, et al.
Published: (2024)

Self-Supervised Implicit Attention Priors for Point Cloud Reconstruction
by: Fogarty, Kyle, et al.
Published: (2025)

Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain
by: Pei, Gaozheng, et al.
Published: (2025)

VideoPure: Diffusion-based Adversarial Purification for Video Recognition
by: Jiang, Kaixun, et al.
Published: (2025)

Disentanglement with Factor Quantized Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2024)

EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2023)

Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting
by: Asan, Busra, et al.
Published: (2024)

Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information
by: Zhang, Mingkun, et al.
Published: (2024)

Gradient-Free Adversarial Purification with Diffusion Models
by: Dai, Xuelong, et al.
Published: (2025)

Sample-Specific Noise Injection For Diffusion-Based Adversarial Purification
by: Sun, Yuhao, et al.
Published: (2025)

Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion
by: Zheng, Li, et al.
Published: (2026)

Random Sampling for Diffusion-based Adversarial Purification
by: Zhang, Jiancheng, et al.
Published: (2024)

Point Cloud Resampling with Learnable Heat Diffusion
by: Xu, Wenqiang, et al.
Published: (2024)

Diffusion Masked Pretraining for Dynamic Point Cloud
by: Zhang, Zhuoyue, et al.
Published: (2026)

Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
by: Pei, Gaozheng, et al.
Published: (2025)

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
by: Li, Yiquan, et al.
Published: (2024)

APC: Transferable and Efficient Adversarial Point Counterattack for Robust 3D Point Cloud Recognition
by: Jung, Geunyoung, et al.
Published: (2026)

TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba
by: Liu, Jiaxu, et al.
Published: (2025)

PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer
by: She, Rui, et al.
Published: (2024)

FMVP: Masked Flow Matching for Adversarial Video Purification
by: Tang, Duoxun, et al.
Published: (2026)

PointDiffuse: A Dual-Conditional Diffusion Model for Enhanced Point Cloud Semantic Segmentation
by: He, Yong, et al.
Published: (2025)

Multiway Point Cloud Mosaicking with Diffusion and Global Optimization
by: Jin, Shengze, et al.
Published: (2024)

DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models
by: Fu, Jia, et al.
Published: (2025)

Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
by: Romanelis, Ioannis, et al.
Published: (2024)

Desensitizing for Improving Corruption Robustness in Point Cloud Classification through Adversarial Training
by: Tian, Zhiqiang, et al.
Published: (2025)

DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models
by: Ma, Jin, et al.
Published: (2025)

ShapePuri: Shape Guided and Appearance Generalized Adversarial Purification
by: Li, Zhe, et al.
Published: (2026)

MANI-Pure: Magnitude-Adaptive Noise Injection for Adversarial Purification
by: Huang, Xiaoyi, et al.
Published: (2025)

Diffusion-Occ: 3D Point Cloud Completion via Occupancy Diffusion
by: Zhang, Guoqing, et al.
Published: (2024)

Topo-ADV: Generating Topology-Driven Imperceptible Adversarial Point Clouds
by: Nampoothiry, Gayathry Chandramana Krishnan, et al.
Published: (2026)

DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
by: Li, Yanlong, et al.
Published: (2023)

Physics-Aware Diffusion for LiDAR Point Cloud Densification
by: Zhang, Zeping, et al.
Published: (2026)

Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
by: Wu, Lintai, et al.
Published: (2024)

Rethinking Transferable Adversarial Attacks on Point Clouds from a Compact Subspace Perspective
by: Tang, Keke, et al.
Published: (2026)

LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models
by: Khalili, Hossein, et al.
Published: (2024)