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Napguard: Towards detecting naturalistic adversarial patches
Recently the emergence of naturalistic adversarial patch (NAP) which possesses a
deceptive appearance and various representations underscores the necessity of develo** …
deceptive appearance and various representations underscores the necessity of develo** …
Isolation and induction: Training robust deep neural networks against model stealing attacks
Despite the broad application of Machine Learning models as a Service (MLaaS), they are
vulnerable to model stealing attacks. These attacks can replicate the model functionality by …
vulnerable to model stealing attacks. These attacks can replicate the model functionality by …
Multi-modal Prompts with Feature Decoupling for Open-Vocabulary Object Detection
D Wang, X Zhao - International Joint Conference on Artificial Intelligence, 2024 - Springer
Open-vocabulary object detection aims to acquire the ability to recognize novel categories
through text description using data of limited categories for training. The Prompt serves as a …
through text description using data of limited categories for training. The Prompt serves as a …
The impacts of artificial intelligence techniques in augmentation of cyber security
R ** - 2024 IEEE 6th International Conference on Civil …, 2024 - ieeexplore.ieee.org
In order to optimise deep learning models for few-shot website fingerprinting (WF) attacks,
this study offers a fresh way to data augmentation technique. For each website, only a few …
this study offers a fresh way to data augmentation technique. For each website, only a few …
Multi-modal Prompts with Feature Decoupling for Open-Vocabulary Object
D Wang, X Zhao - Generalizing from Limited Resources in the …, 2024 - books.google.com
Open-vocabulary object detection aims to acquire the abil-ity to recognize novel categories
through text description using data of limited categories for training. The Prompt serves as a …
through text description using data of limited categories for training. The Prompt serves as a …