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Robustness

83 directly classified papers

Papers per year

Papers

Words or Vision: Do Vision-Language Models Have Blind Faith in Text? CVPR 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging CVPR 2025
Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models EMNLP 2025
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers CVPR 2025
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NIPS 2024
PointCVaR: Risk-Optimized Outlier Removal for Robust 3D Point Cloud Classification AAAI 2024
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations EMNLP 2024
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection EMNLP 2024
DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification NIPS 2024
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases NIPS 2024
Diffusion Models are Certifiably Robust Classifiers NIPS 2024
Negative Pre-aware for Noisy Cross-Modal Matching AAAI 2024
Irrelevant Alternatives Bias Large Language Model Hiring Decisions EMNLP 2024
Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks AAAI 2024
Improving robustness to corruptions with multiplicative weight perturbations NIPS 2024
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods NIPS 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions CVPR 2024
Learning predictable and robust neural representations by straightening image sequences NIPS 2024
Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024
Evaluating Paraphrastic Robustness in Textual Entailment Models ACL 2023
How To Prevent the Continuous Damage of Noises To Model Training? CVPR 2023
Robustness Guarantees for Adversarially Trained Neural Networks NIPS 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models ACL 2023
Progress and Limitations of Deep Networks to Recognize Objects in Unusual Poses AAAI 2023