Rod’s Blog • 39 implied HN points • 18 Sep 23
- An inference attack against AI involves gaining private information from a system by analyzing its outputs and other available data.
- There are two main types of inference attacks: model inversion attacks aim to reconstruct input data, while membership inference attacks try to determine if specific data points were part of the training dataset.
- To mitigate inference attacks, techniques like differential privacy, federated learning, secure multi-party computation, data obfuscation, access control, and regular model updates can be used.