conftrace_

randomized smoothing

87 papers

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Also known as

RS

Co-occurring keywords

certified robustness (116) adversarial robustness (1341) adversarial defense (325) robustness certification (47) neural network (6616) certified defense (34) adversarial attack (1621) adversarial perturbation (384) adversarial training (1262) robustness certificate (12)

Papers

Certified Trustworthiness in the Era of Large Language Models AAAI 2025
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks AAAI 2025
Randomized Smoothing Meets Vision-Language Models EMNLP 2025
Certification of Speaker Recognition Models to Additive Perturbations AAAI 2025
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing NAACL 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance EMNLP 2024
Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution CVPR 2024
CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack EMNLP 2024
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences NIPS 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing NIPS 2024
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness NIPS 2024
Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks AISTATS 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024
Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models NIPS 2024
Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024
Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints ICML 2023
Towards better certified segmentation via diffusion models UAI 2023
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More NIPS 2023
Hierarchical Randomized Smoothing NIPS 2023
Multi-scale Diffusion Denoised Smoothing NIPS 2023
Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint JMLR 2023
Confidence-Aware Training of Smoothed Classifiers for Certified Robustness AAAI 2023
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications ACL 2023
DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers WACV 2023