Privacy Preserving
Posted onDeep Learning models require large amount of data to be trained. Any use case requiring the processing of data like: images, videos, full names, addresses, sensitive information and so on. This represents a potential risk for privacy breaches. For this reason, there are different methods for protecting data during training and others during the inference […]