7 citations · 13 across the 8 of their papers we have counts for
6 papers · 1 filter
Secure and Accurate Summation of Many Floating-Point Numbers
Marina Blanton, Michael T. Goodrich, Chen Yuan
Motivated by the importance of floating-point computations, we study the problem of securely and accurately summing many floating-point numbers. Prior work has focused on security…
Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation
Alessandro Baccarini, Marina Blanton, Shaofeng Zou
Secure multi-party computation has seen substantial performance improvements in recent years and is being increasingly used in commercial products. While a significant amount of wo…
Privacy Preserving Analytics on Distributed Medical Data
Marina Blanton, Ah Reum Kang, Subhadeep Karan +1
Objective: To enable privacy-preserving learning of high quality generative and discriminative machine learning models from distributed electronic health records. Methods and Resul…
Secure Fingerprint Alignment and Matching Protocols
Fattaneh Bayatbabolghani, Marina Blanton, Mehrdad Aliasgari +1
We present three private fingerprint alignment and matching protocols, based on what are considered to be the most precise and efficient fingerprint recognition algorithms, which u…
Optimizing Secure Statistical Computations with PICCO
Justin DeBenedetto, Marina Blanton
Growth in research collaboration has caused an increased need for sharing of data. However, when this data is private, there is also an increased need for maintaining security and…
Implementing Support for Pointers to Private Data in a General-Purpose Secure Multi-Party Compiler
Yihua Zhang, Marina Blanton, Ghada Almashaqbeh
Recent compilers allow a general-purpose program (written in a conventional programming language) that handles private data to be translated into secure distributed implementation…