IEEE

EfficientNetB0: Comparing Transfer Learning and Scratch Training on Benchmark Datasets

Abstract: This paper presents a comparative analysis of EfficientNetB0 models trained using transfer learning and from scratch, evaluated across three benchmark datasets: CIFAR-10, MNIST Digit, and ...
IEEE

Secure Transfer Learning: Training Clean Model Against Backdoor in Pre-Trained Encoder and ...

Abstract: Transfer learning from pre-trained encoders has become essential in modern machine learning, enabling efficient model adaptation across diverse tasks. However, this combination of ...