42 citations · 81 across the 10 of their papers we have counts for
3 papers · 1 filter
Differentially Private Convex Optimization with Feasibility Guarantees
Vladimir Dvorkin, Ferdinando Fioretto, Pascal Van Hentenryck +2
This paper develops a novel differentially private framework to solve convex optimization problems with sensitive optimization data and complex physical or operational constraints.…
Privacy-Preserving Obfuscation of Critical Infrastructure Networks
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
The paper studies how to release data about a critical infrastructure network (e.g., the power network or a transportation network) without disclosing sensitive information that ca…
OptStream: Releasing Time Series Privately
Ferdinando Fioretto, Pascal Van Hentenryck
Many applications of machine learning and optimization operate on data streams. While these datasets are fundamental to fuel decision-making algorithms, often they contain sensitiv…