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PPATF: A Privacy-Preserving Adversarial Training Framework to Enhance the Robustness of Lightweight Intrusion Detection Models

open access: yesIEEE Access
As adversarial attacks become more sophisticated, AI-driven intrusion detection models are increasingly at risk. Adversarial evasion typically originates from data leakage, allowing attackers to infer training data and generate adversarial examples that ...
Wonjun Han, Soojin Lee
doaj   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan   +7 more
wiley   +1 more source

On the role of deep learning model complexity in adversarial robustness for medical images. [PDF]

open access: yesBMC Med Inform Decis Mak, 2022
Rodriguez D   +4 more
europepmc   +1 more source

Adversarial Attack for Explanation Robustness of Rationalization Models [PDF]

open access: green
Yuankai Zhang   +6 more
openalex   +1 more source

Distributionally Robust Learning with Stable Adversarial Training [PDF]

open access: green, 2021
Jiashuo Liu   +5 more
openalex   +1 more source

Multitarget Recognition of Flower Images Based on Lightweight Deep Neural Network and Transfer Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley   +1 more source

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