Simple analysis of energy consumption patterns recorded by smart meters can be used to
deduce household occupancy. With access to higher‐resolution smart‐meter readings, we …

We propose a general statistical inference framework to capture the privacy threat incurred
by a user that releases data to a passive but curious adversary, given utility constraints. We …

Ensuring the usefulness of electronic data sources while providing necessary privacy
guarantees is an important unsolved problem. This problem drives the need for an analytical …

Preserving the utility of published datasets while simultaneously providing provable privacy
guarantees is a well-known challenge. On the one hand, context-free privacy solutions, such …

We focus on the privacy-utility trade-off encountered by users who wish to disclose some
information to an analyst, that is correlated with their private data, in the hope of receiving …

End-user privacy in smart meter measurements is a well-known challenge in the smart grid.
The solutions offered thus far have been tied to specific technologies such as batteries or …

We propose a data-driven framework for optimizing privacy-preserving data release
mechanisms to attain the information-theoretically optimal tradeoff between minimizing …

Sequential rate-distortion (SRD) theory provides a framework for studying the fundamental
trade-off between data-rate and data-quality in real-time communication systems. In this …

We investigate the problem of estimating a random variable Y under a privacy constraint
dictated by another correlated random variable X. When X and Y are discrete, we express …

Rate distortion theory is considered for the Shannon cipher system (SCS). The admissible
region of cryptogram rate R, key rate R/sub k/, legitimate receiver's distortion D, and …