Co-occurring keywords · papers mentioning both
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