De-identification

The Privacy Annotated HMDB51 (PA-HMDB51) dataset is a video-based dataset for evaluating pirvacy protection in visual action recognition algorithms. The dataset contains both target task labels (action) and selected privacy attributes (skin color, face, gender, nudity, and relationship) annotated on a per-frame basis. Source: https://github.com/VITA-Group/PA-HMDB51

This dataset contains 1304 de-identified longitudinal medical records describing 296 patients.

ConcurrentQA is a textual multi-hop QA benchmark to require concurrent retrieval over multiple data-distributions (i.e. Wikipedia and email data). The dataset follow the exact same schema and design as HotpotQA. The data set is downloadable here: https://github.com/facebookresearch/concurrentqa. It also contains model and result analysis code. This benchmark can also be used to study privacy when reasoning over data distributed in multiple privacy scopes --- i.e. Wikipedia in the public domain and emails in the private domain. The following is a blog post about the benchmark: https://ai.facebook.com/blog/building-systems-to-reason-securely-over-private-data/

Open Dataset: Mobility Scenario FIMU * An open, multidimensional (6 categorical attributes), and synthetic dataset of faked virtual humans generated by an optimization approach applied to a real-life call-detail-records-based anonymized database. * The original database is from a mobile network operator in France (Orange), which collects statistics on the frequency of users on days and union of days through analyzing mobile phone data (i.e., call detail records). The period of the analysis is 7 days from 2017-05-31 to 2017-06-06. * This dataset can be used for classification tasks and for evaluating (locally) differentially private mechanisms on multidimensional data.

Collected data from two distinct experiments in immersive, interactive VR where participants performed dynamic tasks as their eye, head, and hand movements were recorded. In the second experiment, a range of real-time privacy mechanisms are applied to eye gaze in real-time.