Hierarchical Randomized Smoothing
Fuente:
arXiv
Saved in:
| Main Authors: | Scholten, Yan, Schuchardt, Jan, Bojchevski, Aleksandar, Günnemann, Stephan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Localized Randomized Smoothing for Collective Robustness Certification
by: Schuchardt, Jan, et al.
Published: (2022)
by: Schuchardt, Jan, et al.
Published: (2022)
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
by: Scholten, Yan, et al.
Published: (2023)
by: Scholten, Yan, et al.
Published: (2023)
Assessing Robustness via Score-Based Adversarial Image Generation
by: Kollovieh, Marcel, et al.
Published: (2023)
by: Kollovieh, Marcel, et al.
Published: (2023)
Amplified Patch-Level Differential Privacy for Free via Random Cropping
by: Durmaz, Kaan, et al.
Published: (2026)
by: Durmaz, Kaan, et al.
Published: (2026)
LipShiFT: A Certifiably Robust Shift-based Vision Transformer
by: Menon, Rohan, et al.
Published: (2025)
by: Menon, Rohan, et al.
Published: (2025)
Pixel-level Certified Explanations via Randomized Smoothing
by: Anani, Alaa, et al.
Published: (2025)
by: Anani, Alaa, et al.
Published: (2025)
Hierarchical Variational Policies for Reward-Guided Diffusion
by: Pandey, Kushagra, et al.
Published: (2026)
by: Pandey, Kushagra, et al.
Published: (2026)
MaxSup: Overcoming Representation Collapse in Label Smoothing
by: Zhou, Yuxuan, et al.
Published: (2025)
by: Zhou, Yuxuan, et al.
Published: (2025)
GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing
by: Wang, Zhichao, et al.
Published: (2024)
by: Wang, Zhichao, et al.
Published: (2024)
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
by: Stanić, Aleksandar, et al.
Published: (2024)
by: Stanić, Aleksandar, et al.
Published: (2024)
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
by: Schuchardt, Jan, et al.
Published: (2023)
by: Schuchardt, Jan, et al.
Published: (2023)
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection
by: Cao, Shengcao, et al.
Published: (2024)
by: Cao, Shengcao, et al.
Published: (2024)
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
by: Zhdanov, Maksim, et al.
Published: (2025)
by: Zhdanov, Maksim, et al.
Published: (2025)
FasterViT: Fast Vision Transformers with Hierarchical Attention
by: Hatamizadeh, Ali, et al.
Published: (2023)
by: Hatamizadeh, Ali, et al.
Published: (2023)
Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective
by: Liang, Yingyu, et al.
Published: (2024)
by: Liang, Yingyu, et al.
Published: (2024)
Neural Redshift: Random Networks are not Random Functions
by: Teney, Damien, et al.
Published: (2024)
by: Teney, Damien, et al.
Published: (2024)
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It
by: Xia, Guoxuan, et al.
Published: (2024)
by: Xia, Guoxuan, et al.
Published: (2024)
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention
by: Hong, Susung
Published: (2024)
by: Hong, Susung
Published: (2024)
Beyond Classification: Evaluating Diffusion Denoised Smoothing for Security-Utility Trade off
by: Belousov, Yury, et al.
Published: (2025)
by: Belousov, Yury, et al.
Published: (2025)
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing
by: Anani, Alaa, et al.
Published: (2024)
by: Anani, Alaa, et al.
Published: (2024)
Interpreting CLIP with Hierarchical Sparse Autoencoders
by: Zaigrajew, Vladimir, et al.
Published: (2025)
by: Zaigrajew, Vladimir, et al.
Published: (2025)
FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning
by: Yan, Hongwei, et al.
Published: (2026)
by: Yan, Hongwei, et al.
Published: (2026)
Hierarchical Hypercomplex Network for Multimodal Emotion Recognition
by: Lopez, Eleonora, et al.
Published: (2024)
by: Lopez, Eleonora, et al.
Published: (2024)
Hierarchical Active Inference using Successor Representations
by: Rangarajan, Prashant, et al.
Published: (2026)
by: Rangarajan, Prashant, et al.
Published: (2026)
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
by: Scholten, Yan, et al.
Published: (2024)
by: Scholten, Yan, et al.
Published: (2024)
From Logits to Hierarchies: Hierarchical Clustering made Simple
by: Palumbo, Emanuele, et al.
Published: (2024)
by: Palumbo, Emanuele, et al.
Published: (2024)
Hierarchically Robust Zero-shot Vision-language Models
by: Dong, Junhao, et al.
Published: (2026)
by: Dong, Junhao, et al.
Published: (2026)
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
by: Conti, Jean-Rémy, et al.
Published: (2025)
by: Conti, Jean-Rémy, et al.
Published: (2025)
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
by: Conti, Jean-Rémy, et al.
Published: (2022)
by: Conti, Jean-Rémy, et al.
Published: (2022)
The Effectiveness of Random Forgetting for Robust Generalization
by: Ramkumar, Vijaya Raghavan T, et al.
Published: (2024)
by: Ramkumar, Vijaya Raghavan T, et al.
Published: (2024)
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
by: Jiang, Bowen, et al.
Published: (2023)
by: Jiang, Bowen, et al.
Published: (2023)
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
by: Takida, Yuhta, et al.
Published: (2023)
by: Takida, Yuhta, et al.
Published: (2023)
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
by: Kumbong, Hermann, et al.
Published: (2025)
by: Kumbong, Hermann, et al.
Published: (2025)
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning
by: Shanbhag, Arundhati S., et al.
Published: (2024)
by: Shanbhag, Arundhati S., et al.
Published: (2024)
VQA-Levels: A Hierarchical Approach for Classifying Questions in VQA
by: Madaka, Madhuri Latha, et al.
Published: (2025)
by: Madaka, Madhuri Latha, et al.
Published: (2025)
Random Sampling for Diffusion-based Adversarial Purification
by: Zhang, Jiancheng, et al.
Published: (2024)
by: Zhang, Jiancheng, et al.
Published: (2024)
Sliced Wasserstein with Random-Path Projecting Directions
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
Hierarchical Generalized Category Discovery for Brain Tumor Classification in Digital Pathology
by: Perkonigg, Matthias, et al.
Published: (2025)
by: Perkonigg, Matthias, et al.
Published: (2025)
A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification
by: Kilicdere, Ezel, et al.
Published: (2026)
by: Kilicdere, Ezel, et al.
Published: (2026)
Hierarchical Classification for Automated Image Annotation of Coral Reef Benthic Structures
by: Blondin, Célia, et al.
Published: (2024)
by: Blondin, Célia, et al.
Published: (2024)
Similar Items
-
Localized Randomized Smoothing for Collective Robustness Certification
by: Schuchardt, Jan, et al.
Published: (2022) -
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
by: Scholten, Yan, et al.
Published: (2023) -
Assessing Robustness via Score-Based Adversarial Image Generation
by: Kollovieh, Marcel, et al.
Published: (2023) -
Amplified Patch-Level Differential Privacy for Free via Random Cropping
by: Durmaz, Kaan, et al.
Published: (2026) -
LipShiFT: A Certifiably Robust Shift-based Vision Transformer
by: Menon, Rohan, et al.
Published: (2025)