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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

The Generalization and Robustness of Transformer-Based Language Models on Commonsense Reasoning AAAI 2024
The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance ACL 2024
Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models CVPR 2024
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training CVPR 2024
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack AAAI 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals COLING 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing NIPS 2024
NoisyMix: Boosting Model Robustness to Common Corruptions AISTATS 2024
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding EMNLP 2024
Towards Trustworthy Deep Learning AAAI 2024
From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking EMNLP 2024
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions NAACL 2024
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains CVPR 2024
MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024
Generative Adversarial Training with Perturbed Token Detection for Model Robustness EMNLP 2023
Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models INTERSPEECH 2023
Expanding Scope: Adapting English Adversarial Attacks to Chinese ACL 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP 2023
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks ACL 2023
Bayesian Federated Learning: A Survey IJCAI 2023
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment AAAI 2023