Co-occurring keywords · papers mentioning both
Papers
Diagnosing Hidden Instabilities in Model Editing via Uncertainty Quantification
ACL 2026
Learning to Diversify and Focus: A Reinforcement Framework for Open-Vocabulary HOI Detection
CVPR 2026
Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model
AAAI 2026
SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs
AAAI 2026
Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
EMNLP 2025
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
SemEval 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search
ACL 2024
Mutual-Modality Adversarial Attack with Semantic Perturbation
AAAI 2024
SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer’s Disease Detection
ACL 2024
Adversarial Counterfactual Visual Explanations
CVPR 2023
Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis
EMNLP 2023
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation
ICCV 2023
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
CVPR 2023
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
NeurIPS 2022
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks
AAAI 2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces
NAACL 2022
calibrated adversarial training
ACML 2021
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications
AAAI 2020
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations
CVPR 2020