Federated learning (FL) has emerged as an effective approach to address
...
Reconstruction attacks allow an adversary to regenerate data samples of ...
We introduce Opacus, a free, open-source PyTorch library for training de...
We consider the privacy-preserving machine learning (ML) setting where t...
Despite intense interest and considerable effort, the current generation...
We argue that the machine learning problem of model extraction is actual...
The Sampled Gaussian Mechanism (SGM)---a composition of subsampling and ...
A casual reader of the study by Jayaraman and Evans in USENIX Security 2...
Sensitive statistics are often collected across sets of users, with repe...
Many commonly used learning algorithms work by iteratively updating an
i...
The rapid adoption of machine learning has increased concerns about the
...
The recent, remarkable growth of machine learning has led to intense int...
Machine learning techniques based on neural networks are achieving remar...