3 ms·

The true test is if the anonymized data can be filtered and cross-referenced in a way to still link back to people[0]. [0]:https://www.reuters.com/article/us-h

• umvi 7y ago
  You can always de-anonymize data given enough resources so that argument seems bogus. Anonymous data: Red car observed on Dawn Road at 23:34 on May 31 2019. DUI predictor - likely sober. Speed - 53 mph. Can this information be de-anonymized? Sure can! Police: "The suspect fled 7-11 Around 23:30 and either went on Dawn Road or Lost Haven Road. Let's filter all red car observation events that happened that night between 23:30 and 23:40 on Dawn and Lost Haven. Yup, found him" So you are saying we have to scrub it further? You end up removing all information until there is nothing left. "car observed on May 31"
  • noxToken 7y ago
    It would depend on what is included in the data and what other data is available for reference. You can have medical data that tracks all of the symptoms reported by a patient without prompt ("What brings you in?"), symptoms reported by a patient with prompt ("Can you describe the pain? Where is it located?"), and the diagnosis by the doctor. It tells you nothing about the patient nor the doctor, but it still provides useful information.