White-box Inference Attacks against Centralized Machine Learning and Federated Learning. (arXiv:2301.03595v1 [cs.CR])

With the development of information science and technology, various
industries have generated massive amounts of data, and machine learning is
widely used in the analysis of big data. However, if the privacy of machine
learning applications' customers cannot be guaranteed, it will cause security
threats and losses to users' personal privacy information and service
providers. Therefore, the issue of privacy protection of machine learning has
received wide attention. For centralized machine learning models, we evaluate
the impact of different neural …

analysis applications attacks attention big big data box customers data development federated learning generated information issue losses machine machine learning personal privacy protection science security security threats service service providers technology threats