Feature-Space Smoothing: Certified Robustness of Deep Representations
Fuente:
arXiv
Saved in:
| Main Authors: | Xia, Song, Ding, Meiwen, Kong, Chenqi, Yang, Wenhan, Jiang, Xudong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
by: Xia, Song, et al.
Published: (2024)
by: Xia, Song, et al.
Published: (2024)
Adversarial Prompt Injection Attack on Multimodal Large Language Models
by: Ding, Meiwen, et al.
Published: (2026)
by: Ding, Meiwen, et al.
Published: (2026)
Multi-head Ensemble of Smoothed Classifiers for Certified Robustness
by: Fang, Kun, et al.
Published: (2022)
by: Fang, Kun, et al.
Published: (2022)
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
by: Hu, Hanjiang, et al.
Published: (2023)
by: Hu, Hanjiang, et al.
Published: (2023)
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
by: Yu, Yi, et al.
Published: (2025)
by: Yu, Yi, et al.
Published: (2025)
Transferable Adversarial Attacks on SAM and Its Downstream Models
by: Xia, Song, et al.
Published: (2024)
by: Xia, Song, et al.
Published: (2024)
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
by: Yu, Yi, et al.
Published: (2025)
by: Yu, Yi, et al.
Published: (2025)
Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks
by: Hu, Hanjiang, et al.
Published: (2025)
by: Hu, Hanjiang, 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)
by: Shpilevskiy, Frederick, et al.
Published: (2025)
Certifiably Robust Image Watermark
by: Jiang, Zhengyuan, et al.
Published: (2024)
by: Jiang, Zhengyuan, et al.
Published: (2024)
Your Diffusion Model is Secretly a Certifiably Robust Classifier
by: Chen, Huanran, et al.
Published: (2024)
by: Chen, Huanran, et al.
Published: (2024)
MaxSup: Overcoming Representation Collapse in Label Smoothing
by: Zhou, Yuxuan, et al.
Published: (2025)
by: Zhou, Yuxuan, 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)
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification
by: Guo, Chenqi, et al.
Published: (2025)
by: Guo, Chenqi, et al.
Published: (2025)
Associative Memories in the Feature Space
by: Salvatori, Tommaso, et al.
Published: (2024)
by: Salvatori, Tommaso, et al.
Published: (2024)
How Visual Representations Map to Language Feature Space in Multimodal LLMs
by: Venhoff, Constantin, et al.
Published: (2025)
by: Venhoff, Constantin, et al.
Published: (2025)
Why CNN Features Are not Gaussian: A Statistical Anatomy of Deep Representations
by: Chapman, David, et al.
Published: (2024)
by: Chapman, David, et al.
Published: (2024)
Transformer-Based Multi-Object Smoothing with Decoupled Data Association and Smoothing
by: Pinto, Juliano, et al.
Published: (2023)
by: Pinto, Juliano, et al.
Published: (2023)
Alternating Training-based Label Smoothing Enhances Prompt Generalization
by: Chen, Yang, et al.
Published: (2025)
by: Chen, Yang, et al.
Published: (2025)
Localized Randomized Smoothing for Collective Robustness Certification
by: Schuchardt, Jan, et al.
Published: (2022)
by: Schuchardt, Jan, et al.
Published: (2022)
Johnny: Structuring Representation Space to Enhance Machine Abstract Reasoning Ability
by: Song, Ruizhuo, et al.
Published: (2025)
by: Song, Ruizhuo, et al.
Published: (2025)
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations
by: Addepalli, Sravanti, et al.
Published: (2024)
by: Addepalli, Sravanti, et al.
Published: (2024)
Robust Classification by Coupling Data Mollification with Label Smoothing
by: Heinonen, Markus, et al.
Published: (2024)
by: Heinonen, Markus, et al.
Published: (2024)
FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment
by: Shumitskaya, Ekaterina, et al.
Published: (2025)
by: Shumitskaya, Ekaterina, et al.
Published: (2025)
A Lightweight Brain-Inspired Machine Learning Framework for Coronary Angiography: Hybrid Neural Representation and Robust Learning Strategies
by: Xia, Jingsong, et al.
Published: (2026)
by: Xia, Jingsong, et al.
Published: (2026)
Estimating the Robustness Radius for Randomized Smoothing with 100$\times$ Sample Efficiency
by: Seferis, Emmanouil, et al.
Published: (2024)
by: Seferis, Emmanouil, et al.
Published: (2024)
Certified Robustness to Data Poisoning in Gradient-Based Training
by: Sosnin, Philip, et al.
Published: (2024)
by: Sosnin, Philip, et al.
Published: (2024)
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
by: Yang, Yuchen, et al.
Published: (2024)
by: Yang, Yuchen, et al.
Published: (2024)
SAKED: Mitigating Hallucination in Large Vision-Language Models via Stability-Aware Knowledge Enhanced Decoding
by: Li, Zhaoxu, et al.
Published: (2026)
by: Li, Zhaoxu, et al.
Published: (2026)
MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations
by: Ke, Hongyu, et al.
Published: (2025)
by: Ke, Hongyu, et al.
Published: (2025)
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers
by: Xu, Cong, et al.
Published: (2022)
by: Xu, Cong, et al.
Published: (2022)
Rep-GLS: Report-Guided Generalized Label Smoothing for Robust Disease Detection
by: Zhang, Kunyu, et al.
Published: (2025)
by: Zhang, Kunyu, et al.
Published: (2025)
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering
by: Xu, Jie, et al.
Published: (2021)
by: Xu, Jie, et al.
Published: (2021)
Spatio-temporal Prompting Network for Robust Video Feature Extraction
by: Sun, Guanxiong, et al.
Published: (2024)
by: Sun, Guanxiong, et al.
Published: (2024)
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness
by: Deng, Jieren, et al.
Published: (2024)
by: Deng, Jieren, et al.
Published: (2024)
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising
by: Hong, Sanghyun, et al.
Published: (2024)
by: Hong, Sanghyun, et al.
Published: (2024)
Adversarial Robustness for Deep Learning-based Wildfire Prediction Models
by: Ide, Ryo, et al.
Published: (2024)
by: Ide, Ryo, et al.
Published: (2024)
Variational Feature Compression for Model-Specific Representations
by: Guo, Zinan, et al.
Published: (2026)
by: Guo, Zinan, et al.
Published: (2026)
Cert-SSBD: Certified Backdoor Defense with Sample-Specific Smoothing Noises
by: Qiao, Ting, et al.
Published: (2025)
by: Qiao, Ting, et al.
Published: (2025)
Robust Representation Learning in Masked Autoencoders
by: Shrivastava, Anika, et al.
Published: (2026)
by: Shrivastava, Anika, et al.
Published: (2026)
Similar Items
-
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing
by: Xia, Song, et al.
Published: (2024) -
Adversarial Prompt Injection Attack on Multimodal Large Language Models
by: Ding, Meiwen, et al.
Published: (2026) -
Multi-head Ensemble of Smoothed Classifiers for Certified Robustness
by: Fang, Kun, et al.
Published: (2022) -
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
by: Hu, Hanjiang, et al.
Published: (2023) -
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
by: Yu, Yi, et al.
Published: (2025)