Cover Image

Laplace-Bridged Randomized Smoothing for Fast Certified Robustness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Miao, Mazumder, MD Saifur Rahman, Yu, Feng, Takabi, Daniel, Ning, Rui
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unsupervised Feature Selection via Robust Autoencoder and Adaptive Graph Learning
by: Yu, Feng, et al.
Published: (2025)

Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing
by: Chen, Cheng, et al.
Published: (2021)

Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing
by: Delattre, Blaise, et al.
Published: (2026)

RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing
by: Rekavandi, Aref Miri, et al.
Published: (2024)

SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
by: Zhong, Meiyu, et al.
Published: (2024)

Certified Adversarial Robustness via Partition-based Randomized Smoothing
by: Goli, Hossein, et al.
Published: (2024)

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

Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
by: Lyu, Saiyue, et al.
Published: (2024)

Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
by: Gao, Weizhi, et al.
Published: (2024)

Enhanced Estimation Techniques for Certified Radii in Randomized Smoothing
by: Liang, Zixuan
Published: (2025)

AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness
by: Huang, Zhuoqun, et al.
Published: (2025)

SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
by: Panzade, Prajwal, et al.
Published: (2022)

Average Certified Radius is a Poor Metric for Randomized Smoothing
by: Sun, Chenhao, et al.
Published: (2024)

Heterogeneous Graph Backdoor Attack
by: Chen, Jiawei, et al.
Published: (2025)

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
by: He, Bowei, et al.
Published: (2025)

Feature-Aware Anisotropic Local Differential Privacy for Utility-Preserving Graph Representation Learning in Metal Additive Manufacturing
by: Islam, MD Shafikul, et al.
Published: (2026)

Bridging the Theoretical Gap in Randomized Smoothing
by: Delattre, Blaise, et al.
Published: (2025)

Augment then Smooth: Reconciling Differential Privacy with Certified Robustness
by: Wu, Jiapeng, et al.
Published: (2023)

Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing
by: Fu, Chengyan, et al.
Published: (2024)

Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed Attributions
by: Wang, Fan, et al.
Published: (2024)

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

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

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

Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
by: Jin, Gaojie, et al.
Published: (2025)

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

Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests
by: Liu, Brian, et al.
Published: (2024)

Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry
by: Sana, Joydeb Kumar, et al.
Published: (2024)

RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
by: Asl, Javad Rafiei, et al.
Published: (2024)

I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption
by: Panzade, Prajwal, et al.
Published: (2024)

Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier
by: Jin, Gaojie, et al.
Published: (2025)

CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
by: Wang, Zixia, et al.
Published: (2025)

FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML
by: Liu, Brian, et al.
Published: (2024)

RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance
by: Lin, Miao, et al.
Published: (2026)

MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption
by: Panzade, Prajwal, et al.
Published: (2024)

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

Improving Random Forests by Smoothing
by: Liu, Ziyi, et al.
Published: (2025)

Sparse NMF with Archetypal Regularization: Computational and Robustness Properties
by: Behdin, Kayhan, et al.
Published: (2021)

TrajSyn: Privacy-Preserving Dataset Distillation from Federated Model Trajectories for Server-Side Adversarial Training
by: Gupta, Mukur, et al.
Published: (2025)

Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
by: Voracek, Vaclav
Published: (2024)

Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning
by: Politowicz, Alexander, et al.
Published: (2024)