model robustness

478 papers

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Co-occurring keywords

adversarial attack (1599) adversarial training (1261) adversarial robustness (1335) text classification (6776) adversarial example (563) data augmentation (3037) large language model (12755) adversarial learning (1592) natural language processing (2027) domain generalization (1517)

Papers

Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization AAAI 2026

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks WACV 2026

Towards Trustworthy Multimodal AI Systems AAAI 2026

Don’t Judge a Book by its Cover: Testing LLMs’ Robustness Under Logical Obfuscation EACL 2026

Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models EACL 2026

Causality-Driven Audits of Model Robustness WACV 2026

BERT, are you paying attention? Attention regularization with human-annotated rationales EACL 2026

Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks AAAI 2026

6DAttack: Backdoor Attacks in the 6DoF Pose Estimation AAAI 2026

One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection WACV 2026

Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization AAAI 2026

A Flat Minima Perspective on Understanding Augmentations and Model Robustness AAAI 2026

AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models AAAI 2025

Will the Prince Get True Love’s Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts NAACL 2025

E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models COLING 2025

Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025

Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models NAACL 2025

RAZOR: Sharpening Knowledge by Cutting Bias with Unsupervised Text Rewriting AAAI 2025

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025

Pandora’s Box or Aladdin’s Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models ACL 2025

Quantification of Large Language Model Distillation ACL 2025

Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework EMNLP 2025

Stepwise Reasoning Disruption Attack of LLMs ACL 2025

Diversity-oriented Data Augmentation with Large Language Models ACL 2025

RP-PGD: Boosting Segmentation Robustness with a Region-and-Prototype Based Adversarial Attack AAAI 2025