Robustness

QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks NeurIPS 2023 READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises ACL 2023 ReCode: Robustness Evaluation of Code Generation Models ACL 2023 Reliable learning in challenging environments NeurIPS 2023 Rethinking Document-Level Relation Extraction: A Reality Check ACL 2023 Robust Blind Watermarking Framework for Hybrid Networks Combining CNN and Transformer ACML 2023 Robust Image Classification via Using Multiple Diversity Losses ACML 2023 Robust Mean Estimation Without Moments for Symmetric Distributions NeurIPS 2023 Robustness of Named-Entity Replacements for In-Context Learning EMNLP 2023 Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection AAAI 2023 Robust Temporal Smoothness in Multi-Task Learning AAAI 2023 StyLess: Boosting the Transferability of Adversarial Examples CVPR 2023 TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees ACL 2023 The Many Faces of Adversarial Machine Learning AAAI 2023 ToViLaG: Your Visual-Language Generative Model is Also An Evildoer EMNLP 2023 Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View EMNLP 2023 Towards Robust Ranker for Text Retrieval ACL 2023 TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023 Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving CVPR 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023 Use perturbations when learning from explanations NeurIPS 2023 Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks NeurIPS 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 When and Why Does Bias Mitigation Work? EMNLP 2023 Which Shortcut Solution Do Question Answering Models Prefer to Learn? AAAI 2023