Published : Oct 28, 2020
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.
Understand more
Oct 2020
Assess
Worth exploring with the goal of understanding how it will affect your enterprise.
The concept of differential privacy first appeared in the Radar in 2016. Although the problem of breaking privacy through systematic model inference queries was recognized at the time, it was largely a theoretical issue since remedies were few. The industry has lacked tools to prevent this from happening. Opacus is a new Python library that can be used in conjunction with PyTorch to help thwart one type of differential privacy attack. Although this is a promising development, finding the right model and data set to which it applies has been a challenge. The library is still quite new so we're looking forward to seeing how it'll be accepted going forward.
