Zitao Li

Regularized Loss Minimizers with Local Data Obfuscation.

2018 · arXiv (Cornell University)

We introduce a new concept, data irrecoverability, and show that the well-studied concept of data privacy is sufficient but not necessary for data irrecoverability. We show that there are several regularized loss minimization problems that …

Estimating Numerical Distributions under Local Differential Privacy

2019 · arXiv (Cornell University)

When collecting information, local differential privacy (LDP) relieves the concern of privacy leakage from users' perspective, as user's private information is randomized before sent to the aggregator. We study the problem of recovering the distribution …