Data Science, Machine Learning, Artificial Intelligence, Technology, Cybersecurity.
differential privacy is that during the training cycle, each sample has Clipping and Noise added to it. This changes / obfuscates the training data so that it is harder to “reverse engineer” the predictions and figure out the original data from the predictions the model makes. For each batch of