model robustness

A Representation Level Analysis of NMT Model Robustness to Grammatical Errors ACL 2025 AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models AAAI 2025 Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models NAACL 2025 Benchmarking Multimodal Large Language Models Against Image Corruptions ICCV 2025 Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness ICLR 2025 Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework EMNLP 2025 Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks ICLR 2025 Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025 Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery COLING 2025 Confidence Elicitation: A New Attack Vector for Large Language Models ICLR 2025 Contrasting Adversarial Perturbations: The Space of Harmless Perturbations AAAI 2025 Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025 DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation ICLR 2025 Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks ACL 2025 Democratic Training Against Universal Adversarial Perturbations ICLR 2025 DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models ACL 2025 Diversity-oriented Data Augmentation with Large Language Models ACL 2025 Does Training on Synthetic Data Make Models Less Robust? NAACL 2025 Do Regularization Methods for Shortcut Mitigation Work As Intended? AISTATS 2025 Dual-Path Counterfactual Integration for Multimodal Aspect-Based Sentiment Classification EMNLP 2025 Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness ICLR 2025 E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models COLING 2025 Enhancing Adversarial Transferability with Adversarial Weight Tuning AAAI 2025 Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning IJCAI 2025 ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors NAACL 2025