model robustness

Characterizing Internal Evasion Attacks in Federated Learning AISTATS 2023 ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness EMNLP 2023 Closed Boundary Learning for Classification Tasks with the Universum Class EMNLP 2023 Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023 CREST: A Joint Framework for Rationalization and Counterfactual Text Generation ACL 2023 Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning ACL 2023 DeepBlueAI at PragTag-2023:Ensemble-based Text Classification Approaches under Limited Data Resources EMNLP 2023 DENL: Diverse Ensemble and Noisy Logits for Improved Robustness of Neural Networks ACML 2023 Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction ACL 2023 Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering ACL 2023 Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach EMNLP 2023 Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability NeurIPS 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Effective Targeted Attacks for Adversarial Self-Supervised Learning NeurIPS 2023 Efficiently Robustify Pre-Trained Models ICCV 2023 E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition ACL 2023 Equivariant Adaptation of Large Pretrained Models NeurIPS 2023 Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology ACL 2023 Evaluating Paraphrastic Robustness in Textual Entailment Models ACL 2023 Evaluating the Robustness of Discrete Prompts EACL 2023 Expanding Scope: Adapting English Adversarial Attacks to Chinese ACL 2023 Explanation-based Finetuning Makes Models More Robust to Spurious Cues ACL 2023 Exploring Geometry of Blind Spots in Vision models NeurIPS 2023 Extracting Robust Models with Uncertain Examples ICLR 2023 FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning NeurIPS 2023