Oct 22, 2020 · In this article, we propose a secure collaborative deep learning model which resists GAN attacks. We isolate the participants from the model parameters.

The results of our experiments on two real datasets show that our protocol can achieve good accuracy, efficiency, and image processing adaptability. Index Terms ...

Apr 1, 2021 · This article proposes a secure collaborative deep learning model which resists GAN attacks, and targets convolutional neural networks, ...

Dec 9, 2024 · IoT devices with small-scale computing power can contribute to model training without sharing data in collaborative learning. However, ...

Jun 21, 2023 · We propose a Model-Preserving Collaborative deep Learning Framework, called MP-CLF, which can effectively resist the GAN attack.

Secure Collaborative Deep Learning Against GAN Attacks in the Internet of Things.IEEE Internet Things J. 8(7): 5839-5849 (2021)

MP-CLF: An effective model-preserving collaborative deep learning framework for mitigating data leakage under the GAN ; Publication Date. 6-2023 ; Abstract.

This study proposes a novel approach to robustify the federated edge intelligence technique by integrating the power of contrastive learning.

Jun 21, 2023 · We propose a Model-Preserving Collaborative deep Learning Framework, called MP-CLF, which can effectively resist the GAN attack. Based on fully ...

Based on the generative adversarial network (GAN), we designed a powerful intrusion detection method. Our intrusion detection method includes three phases.