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

Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness NAACL 2024

Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024

Evaluating the Robustness of Adverse Drug Event Classification Models using Templates ACL 2024

Natural Light Can Also Be Dangerous: Traffic Sign Misinterpretation Under Adversarial Natural Light Attacks WACV 2024

DarkSAM: Fooling Segment Anything Model to Segment Nothing NIPS 2024

Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models CVPR 2024

MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024

On the Worst Prompt Performance of Large Language Models NIPS 2024

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NIPS 2024

Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains CVPR 2024

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals COLING 2024

Context-aware Adversarial Attack on Named Entity Recognition EACL 2024

DC4L: Distribution shift recovery via data-driven control for deep learning models L4DC 2024

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack AAAI 2024

Benchmarking Segmentation Models with Mask-Preserved Attribute Editing CVPR 2024

The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples EMNLP 2024

The Effects of Data Quality on Named Entity Recognition EACL 2024

Fine-grained Control of Generative Data Augmentation in IoT Sensing NIPS 2024

Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024

Evaluating ChatGPT against Functionality Tests for Hate Speech Detection COLING 2024

Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024

Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection EMNLP 2024

On the Robustness of Large Multimodal Models Against Image Adversarial Attacks CVPR 2024

Unraveling the Truth: Do VLMs really Understand Charts? A Deep Dive into Consistency and Robustness EMNLP 2024