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Robustness

529 directly classified papers

Papers per year

Papers

Robust Learning against Relational Adversaries NIPS 2022
Robust Testing in High-Dimensional Sparse Models NIPS 2022
Understanding Square Loss in Training Overparametrized Neural Network Classifiers NIPS 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets NIPS 2022
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness NIPS 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective NIPS 2022
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks NIPS 2022
Gradient Methods Provably Converge to Non-Robust Networks NIPS 2022
Finding Naturally Occurring Physical Backdoors in Image Datasets NIPS 2022
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training NIPS 2022
Learning Recourse on Instance Environment to Enhance Prediction Accuracy NIPS 2022
Coresets for Wasserstein Distributionally Robust Optimization Problems NIPS 2022
Can Adversarial Training Be Manipulated By Non-Robust Features? NIPS 2022
Autoregressive Perturbations for Data Poisoning NIPS 2022
On the Strong Correlation Between Model Invariance and Generalization NIPS 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NIPS 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022
Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NIPS 2022
On Optimal Learning Under Targeted Data Poisoning NIPS 2022
On Robust Multiclass Learnability NIPS 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness NIPS 2022
Deep Ensembles Work, But Are They Necessary? NIPS 2022
Random Normalization Aggregation for Adversarial Defense NIPS 2022
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets NIPS 2022
When are Local Queries Useful for Robust Learning? NIPS 2022