Zobrazeno 1 - 10
of 327
pro vyhledávání: '"Luo Zhiming"'
Tongue diagnosis in Traditional Chinese Medicine (TCM) is a crucial diagnostic method that can reflect an individual's health status. Traditional methods for identifying tooth-marked tongues are subjective and inconsistent because they rely on practi
Externí odkaz:
http://arxiv.org/abs/2408.16451
Current out-of-distribution (OOD) detection methods typically assume balanced in-distribution (ID) data, while most real-world data follow a long-tailed distribution. Previous approaches to long-tailed OOD detection often involve balancing the ID dat
Externí odkaz:
http://arxiv.org/abs/2408.06742
Despite the significant advances that deep neural networks (DNNs) have achieved in various visual tasks, they still exhibit vulnerability to adversarial examples, leading to serious security concerns. Recent adversarial training techniques have utili
Externí odkaz:
http://arxiv.org/abs/2408.06079
Ensuring the robustness of computer vision models against adversarial attacks is a significant and long-lasting objective. Motivated by adversarial attacks, researchers have devoted considerable efforts to enhancing model robustness by adversarial tr
Externí odkaz:
http://arxiv.org/abs/2407.04016
The vulnerability of Deep Neural Networks to adversarial perturbations presents significant security concerns, as the imperceptible perturbations can contaminate the feature space and lead to incorrect predictions. Recent studies have attempted to ca
Externí odkaz:
http://arxiv.org/abs/2406.11576
This paper aims to enhance the transferability of adversarial samples in targeted attacks, where attack success rates remain comparatively low. To achieve this objective, we propose two distinct techniques for improving the targeted transferability f
Externí odkaz:
http://arxiv.org/abs/2405.06340
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
Recent studies have shown that Deep Neural Networks (DNNs) are susceptible to adversarial attacks, with frequency-domain analysis underscoring the significance of high-frequency components in influencing model predictions. Conversely, targeting low-f
Externí odkaz:
http://arxiv.org/abs/2405.03193
With diverse presentation forgery methods emerging continually, detecting the authenticity of images has drawn growing attention. Although existing methods have achieved impressive accuracy in training dataset detection, they still perform poorly in
Externí odkaz:
http://arxiv.org/abs/2403.12707
In recent years, there has been significant research focusing on addressing security concerns in single-modal person re-identification (ReID) systems that are based on RGB images. However, the safety of cross-modality scenarios, which are more common
Externí odkaz:
http://arxiv.org/abs/2401.10090
Human behavior anomaly detection aims to identify unusual human actions, playing a crucial role in intelligent surveillance and other areas. The current mainstream methods still adopt reconstruction or future frame prediction techniques. However, rec
Externí odkaz:
http://arxiv.org/abs/2312.04119