adversarial robustness

Morables: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables EMNLP 2025 Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness EMNLP 2025 Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning ICLR 2025 Multitask-Bench: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning COLING 2025 MVTamperBench: Evaluating Robustness of Vision-Language Models ACL 2025 Neuromanifold-Regularized KANs for Shape-fair Feature Representations ICCV 2025 OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad CVPR 2025 ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches ICCV 2025 On Effects of Steering Latent Representation for Large Language Model Unlearning AAAI 2025 On Evaluating the Durability of Safeguards for Open-Weight LLMs ICLR 2025 On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning ICLR 2025 On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness ICML 2025 On the Local Complexity of Linear Regions in Deep ReLU Networks ICML 2025 On the Relationship Between Robustness and Expressivity of Graph Neural Networks AISTATS 2025 On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025 On the Robustness Tradeoff in Fine-Tuning ICCV 2025 On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains ICML 2025 On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach CVPR 2025 Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning AAAI 2025 Pangram at GenAI Detection Task 3: An Active Learning Approach to Machine-Generated Text Detection COLING 2025 Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models NAACL 2025 PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches CVPR 2025 PatchGuard: Adversarially Robust Anomaly Detection and Localization through Vision Transformers and Pseudo Anomalies CVPR 2025 PBCAT: Patch-Based Composite Adversarial Training against Physically Realizable Attacks on Object Detection ICCV 2025 PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection AAAI 2025