45 citations · 80 across the 9 of their papers we have counts for
9 papers
Impacts of Differential Privacy on Fostering more Racially and Ethnically Diverse Elementary Schools
Keyu Zhu, Nabeel Gillani, Pascal Van Hentenryck
In the face of increasingly severe privacy threats in the era of data and AI, the US Census Bureau has recently adopted differential privacy, the de facto standard of privacy prote…
Privacy and Bias Analysis of Disclosure Avoidance Systems
Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck +2
Disclosure avoidance (DA) systems are used to safeguard the confidentiality of data while allowing it to be analyzed and disseminated for analytic purposes. These methods, e.g., ce…
Fairness Increases Adversarial Vulnerability
Cuong Tran, Keyu Zhu, Ferdinando Fioretto +1
The remarkable performance of deep learning models and their applications in consequential domains (e.g., facial recognition) introduces important challenges at the intersection of…
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
Cuong Tran, Keyu Zhu, Ferdinando Fioretto +1
A critical concern in data-driven processes is to build models whose outcomes do not discriminate against some demographic groups, including gender, ethnicity, or age. To ensure no…
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Ferdinando Fioretto, Cuong Tran, Pascal Van Hentenryck +1
This paper surveys recent work in the intersection of differential privacy (DP) and fairness. It reviews the conditions under which privacy and fairness may have aligned or contras…
Post-processing of Differentially Private Data: A Fairness Perspective
Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck
Post-processing immunity is a fundamental property of differential privacy: it enables arbitrary data-independent transformations to differentially private outputs without affectin…
Bias and Variance of Post-processing in Differential Privacy
Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto
Post-processing immunity is a fundamental property of differential privacy: it enables the application of arbitrary data-independent transformations to the results of differentiall…
Differential Privacy of Hierarchical Census Data: An Optimization Approach
Ferdinando Fioretto, Pascal Van Hentenryck, Keyu Zhu
This paper is motivated by applications of a Census Bureau interested in releasing aggregate socio-economic data about a large population without revealing sensitive information ab…
Optimal Pricing For MHR and -Regular Distributions
Yiannis Giannakopoulos, Diogo Poças, Keyu Zhu
We study the performance of anonymous posted-price selling mechanisms for a standard Bayesian auction setting, where bidders have i.i.d. valuations for a single item. We show t…