Transfer Learning | Security Research Group

CVPR 2023: Manipulating Transfer Learning for Property Inference

2 May 2023 Yulong Tian, Anshuman Suri, Fnu Suya, adversarial machine learning, privacy-preserving machine learning, distribution inference, inference privacy, transfer learning

Manipulating Transfer Learning for Property Inference Transfer learning is a popular method to train deep learning models efficiently. By reusing parameters from upstream pre-trained models, the downstream trainer can use fewer computing resources to train downstream models, compared to training models from scratch. The figure below shows the typical process of transfer learning for vision tasks: However, the nature of transfer learning can be exploited by a malicious upstream trainer, leading to severe risks to the downstream trainer.