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Core AI
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Robustness
12 directly classified papers
Papers per year
2017: 1
2020: 2
2021: 3
2022: 1
2023: 1
2024: 3
2025: 1
Papers
Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes
CVPR 2025
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models
ACL 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NIPS 2024
On the Robustness of Editing Large Language Models
EMNLP 2024
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
CVPR 2023
Understanding Simultaneous Train and Test Robustness
ALT 2022
Defending Multimodal Fusion Models Against Single-Source Adversaries
CVPR 2021
Are Transformers more robust than CNNs?
NIPS 2021
Reliability Testing for Natural Language Processing Systems
ACL 2021
How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization
EMNLP 2020
Robust Learning Through Cross-Task Consistency
CVPR 2020
Robust Adversarial Reinforcement Learning
ICML 2017
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