model robustness

6DAttack: Backdoor Attacks in the 6DoF Pose Estimation AAAI 2026 A Flat Minima Perspective on Understanding Augmentations and Model Robustness AAAI 2026 BERT, are you paying attention? Attention regularization with human-annotated rationales EACL 2026 Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models EACL 2026 Causality-Driven Audits of Model Robustness WACV 2026 Consistency Beyond Contrast: Enhancing Open-Vocabulary Object Detection Robustness via Contextual Consistency Learning CVPR 2026 Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization AAAI 2026 Don’t Judge a Book by its Cover: Testing LLMs’ Robustness Under Logical Obfuscation EACL 2026 EMMA: Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories CVPR 2026 MERLIN: Building Low-SNR Robust Multimodal LLMs for Electromagnetic Signals CVPR 2026 One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection WACV 2026 On the Role of Temporal Granularity in the Robustness of Spiking Neural Networks CVPR 2026 On the Stability and Robustness of Vision Transformers for Neurodegenerative Disease Classification MIDL 2026 Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks AAAI 2026 Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty MIDL 2026 Towards Trustworthy Multimodal AI Systems AAAI 2026 UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks WACV 2026 Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization AAAI 2026 3SAT: A Simple Self-Supervised Adversarial Training Framework AAAI 2025 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization EMNLP 2025 An Automatic Method to Estimate Correctness of RAG COLING 2025 Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages NAACL 2025 Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation NAACL 2025 Are Multimodal LLMs Robust Against Adversarial Perturbations? RoMMath: A Systematic Evaluation on Multimodal Math Reasoning NAACL 2025