290 citations · 587 across the 68 of their papers we have counts for
4 papers · 2 filters
Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs
Jiachun Liao, Oliver Kosut, Lalitha Sankar +1
We introduce a tunable measure for information leakage called maximal alpha-leakage. This measure quantifies the maximal gain of an adversary in inferring any (potentially random)…
A Tunable Measure for Information Leakage
Jiachun Liao, Oliver Kosut, Lalitha Sankar +1
A tunable measure for information leakage called \textit{maximal -leakage} is introduced. This measure quantifies the maximal gain of an adversary in refining a tilted version o…
Privacy Under Hard Distortion Constraints
Jiachun Liao, Oliver Kosut, Lalitha Sankar +1
We study the problem of data disclosure with privacy guarantees, wherein the utility of the disclosed data is ensured via a \emph{hard distortion} constraint. Unlike average distor…
Finite Blocklength and Dispersion Bounds for the Arbitrarily-Varying Channel
Oliver Kosut, Joerg Kliewer
Finite blocklength and second-order (dispersion) results are presented for the arbitrarily-varying channel (AVC), a classical model wherein an adversary can transmit arbitrary sign…