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Robustness

38 directly classified papers

Papers per year

Papers

On Robustness and Transferability of Convolutional Neural Networks CVPR 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption AAAI 2021
Achieving Model Robustness through Discrete Adversarial Training EMNLP 2021
On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise EMNLP 2021
Simpler Certified Radius Maximization by Propagating Covariances CVPR 2021
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks NIPS 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020
Lipschitz-Certifiable Training with a Tight Outer Bound NIPS 2020
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NIPS 2019
A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019
Interpretation of Neural Networks Is Fragile AAAI 2019
Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016