model robustness

ERM++: An Improved Baseline for Domain Generalization WACV 2025 Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion ACL 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models ICLR 2025 FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 FREE: Fast and Robust Vision Language Models with Early Exits ACL 2025 Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes CVPR 2025 Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025 GOttack: Universal Adversarial Attacks on Graph Neural Networks via Graph Orbits Learning ICLR 2025 Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention ICCV 2025 Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script IJCNLP 2025 I Can Hear You: Selective Robust Training for Deepfake Audio Detection ICLR 2025 Impact of ASR Transcriptions on French Spoken Coreference Resolution EMNLP 2025 Improbable Bigrams Expose Vulnerabilities of Incomplete Tokens in Byte-Level Tokenizers EMNLP 2025 Improving Reward Models with Synthetic Critiques NAACL 2025 IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? IJCNLP 2025 Language Models Resist Alignment: Evidence From Data Compression ACL 2025 Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025 Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025 Mātṛkā: Multilingual Jailbreak Evaluation of Open-Source Large Language Models AACL 2025 Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination ICCV 2025 Mitigating Shortcut Learning via Smart Data Augmentation based on Large Language Model COLING 2025 MM-R3: On (In-)Consistency of Vision-Language Models (VLMs) ACL 2025 On Guardrail Models’ Robustness to Mutations and Adversarial Attacks EMNLP 2025 On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025