Skip to content
conftrace_

randomized smoothing

118 papers

RS

Papers

Robust Probabilistic Time Series Forecasting AISTATS 2022 Smoothed Embeddings for Certified Few-Shot Learning NeurIPS 2022 Center Smoothing: Certified Robustness for Networks with Structured Outputs NeurIPS 2021 Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions AISTATS 2021 Hidden Cost of Randomized Smoothing AISTATS 2021 How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021 Improved Autoregressive Modeling with Distribution Smoothing ICLR 2021 Improved, Deterministic Smoothing for L_1 Certified Robustness ICML 2021 Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training EMNLP 2021 Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks ICCV 2021 PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021 Scalable Certified Segmentation via Randomized Smoothing ICML 2021 Sequential Randomized Smoothing for Adversarially Robust Speech Recognition EMNLP 2021 SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness NeurIPS 2021 Adversarial robustness via robust low rank representations NeurIPS 2020 A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES ICLR 2020 A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses NeurIPS 2020 A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration NeurIPS 2020 Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework NeurIPS 2020 Certified Defense to Image Transformations via Randomized Smoothing NeurIPS 2020 Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing ICLR 2020 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing ICML 2020 Certifying Confidence via Randomized Smoothing NeurIPS 2020 Consistency Regularization for Certified Robustness of Smoothed Classifiers NeurIPS 2020 Constructing a provably adversarially-robust classifier from a high accuracy one AISTATS 2020