conftrace_

classifier robustness

20 papers

Explore in graph

Co-occurring keywords

adversarial robustness (1341) adversarial attack (1621) text classification (6793) random noise (4) adversarial risk (16) decision boundary (161) generative model (2892) transfer learning (5449) domain generalization (1522) adversarial learning (1595)

Papers

Doppelgangers and Adversarial Vulnerability CVPR 2025
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers NIPS 2024
VertAttack: Taking Advantage of Text Classifiers’ Horizontal Vision NAACL 2024
Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling AAAI 2023
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation EMNLP 2023
Self-Healing Robust Neural Networks via Closed-Loop Control JMLR 2022
Learning Stable Classifiers by Transferring Unstable Features ICML 2022
A Manifold View of Adversarial Risk AISTATS 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation CVPR 2022
Agreeing to Disagree: Annotating Offensive Language Datasets with Annotators’ Disagreement EMNLP 2021
Robustness between the worst and average case NIPS 2021
SAM: The Sensitivity of Attribution Methods to Hyperparameters CVPR 2020
Do Models of Mental Health Based on Social Media Data Generalize? EMNLP 2020
Metric Learning for Adversarial Robustness NIPS 2019
Robustness of classifiers to uniform $\ell_p$ and Gaussian noise AISTATS 2018
Masking: A New Perspective of Noisy Supervision NIPS 2018
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution NIPS 2018
Adversarial vulnerability for any classifier NIPS 2018
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation NIPS 2017
Robustness of classifiers: from adversarial to random noise NIPS 2016