Cover Image

Localized Randomized Smoothing for Collective Robustness Certification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schuchardt, Jan, Wollschläger, Tom, Bojchevski, Aleksandar, Günnemann, Stephan
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Randomized Smoothing
by: Scholten, Yan, et al.
Published: (2023)

Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
by: Scholten, Yan, et al.
Published: (2023)

Amplified Patch-Level Differential Privacy for Free via Random Cropping
by: Durmaz, Kaan, et al.
Published: (2026)

Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
by: Anani, Alaa, et al.
Published: (2024)

LipShiFT: A Certifiably Robust Shift-based Vision Transformer
by: Menon, Rohan, et al.
Published: (2025)

Joint Out-of-Distribution Filtering and Data Discovery Active Learning
by: Schmidt, Sebastian, et al.
Published: (2025)

Structurally Prune Anything: Any Architecture, Any Framework, Any Time
by: Wang, Xun, et al.
Published: (2024)

Estimating the Robustness Radius for Randomized Smoothing with 100$\times$ Sample Efficiency
by: Seferis, Emmanouil, et al.
Published: (2024)

Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
by: Xia, Song, et al.
Published: (2024)

Assessing Robustness via Score-Based Adversarial Image Generation
by: Kollovieh, Marcel, et al.
Published: (2023)

Unexplored flaws in multiple-choice VQA evaluations
by: Rosenthal, Fabio, et al.
Published: (2025)

Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion
by: Shpilevskiy, Frederick, et al.
Published: (2025)

Multi-head Ensemble of Smoothed Classifiers for Certified Robustness
by: Fang, Kun, et al.
Published: (2022)

Feature-Space Smoothing: Certified Robustness of Deep Representations
by: Xia, Song, et al.
Published: (2026)

Robust Classification by Coupling Data Mollification with Label Smoothing
by: Heinonen, Markus, et al.
Published: (2024)

Local Curvature Smoothing with Stein's Identity for Efficient Score Matching
by: Osada, Genki, et al.
Published: (2024)

STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers
by: Shao, Daqian, et al.
Published: (2023)

Robust Conformal Prediction with a Single Binary Certificate
by: Zargarbashi, Soroush H., et al.
Published: (2025)

Rep-GLS: Report-Guided Generalized Label Smoothing for Robust Disease Detection
by: Zhang, Kunyu, et al.
Published: (2025)

Lipschitz-Based Robustness Certification Under Floating-Point Execution
by: Murray, Toby
Published: (2026)

Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness
by: Deng, Jieren, et al.
Published: (2024)

Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
by: Schuchardt, Jan, et al.
Published: (2023)

Pixel-level Certified Explanations via Randomized Smoothing
by: Anani, Alaa, et al.
Published: (2025)

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
by: Hu, Hanjiang, et al.
Published: (2023)

Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing
by: Pinto, Juliano, et al.
Published: (2023)

Smooth Pseudo-Labeling
by: Karaliolios, Nikolaos, et al.
Published: (2024)

Noise-Adaptive Regularization for Robust Multi-Label Remote Sensing Image Classification
by: Burgert, Tom, et al.
Published: (2026)

A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
by: Tu, Weijie, et al.
Published: (2024)

Fragile Watermarking for Image Certification Using Deep Steganographic Embedding
by: Ghiani, Davide, et al.
Published: (2025)

RoHan: Robust Hand Detection in Operation Room
by: Papo, Roi, et al.
Published: (2025)

Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation
by: Østmo, Eirik A., et al.
Published: (2025)

Polytopic Autoencoders with Smooth Clustering for Reduced-order Modelling of Flows
by: Heiland, Jan, et al.
Published: (2024)

Discrete Randomized Smoothing Meets Quantum Computing
by: Wollschläger, Tom, et al.
Published: (2024)

Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing
by: Nirala, A K, et al.
Published: (2023)

Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
by: Nam, Giung, et al.
Published: (2024)

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift
by: Hedayatnia, Ali, et al.
Published: (2025)

Energy-Regularized Spatial Masking: A Novel Approach to Enhancing Robustness and Interpretability in Vision Models
by: Devynck, Tom, et al.
Published: (2026)

Functional Localization Enforced Deep Anomaly Detection Using Fundus Images
by: Ruhland, Jan Benedikt, et al.
Published: (2025)

Vision Transformer Finetuning Benefits from Non-Smooth Components
by: Odonnat, Ambroise, et al.
Published: (2026)

Alternating Training-based Label Smoothing Enhances Prompt Generalization
by: Chen, Yang, et al.
Published: (2025)