Co-occurring keywords · papers mentioning both
Papers
Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs
EMNLP 2025
Unmasking real-world audio deepfakes: A data-centric approach
Interspeech 2025
Wait, that’s not an option: LLMs Robustness with Incorrect Multiple-Choice Options
ACL 2025
Weakest Link in the Chain: Security Vulnerabilities in Advanced Reasoning Models
ACL 2025
When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
EMNLP 2025
Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models
ACL 2025
Who Speaks Matters: Analysing the Influence of the Speaker’s Linguistic Identity on Hate Classification
EMNLP 2025
Will the Prince Get True Love’s Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts
NAACL 2025
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
CVPR 2025
YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification
SemEval 2025
A Closer Look at Robustness of Vision Transformers to Backdoor Attacks
WACV 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training
AAAI 2024
Attack Named Entity Recognition by Entity Boundary Interference
COLING 2024
Balance, Multiple Augmentation, and Re-synthesis: A Triad Training Strategy for Enhanced Audio Deepfake Detection
Interspeech 2024
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
CVPR 2024
CodeFort: Robust Training for Code Generation Models
EMNLP 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning
AAAI 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
NeurIPS 2024
Context-aware Adversarial Attack on Named Entity Recognition
EACL 2024
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph
NeurIPS 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing
NeurIPS 2024
DC4L: Distribution shift recovery via data-driven control for deep learning models
L4DC 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay
CVPR 2024
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation
ACL 2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models
EMNLP 2024