Publications

Aimone, James B.; Parekh, Ojas D.; Phillips, Cynthia A.; Pinar, Ali P.; Severa, William M.; Xu, Helen

Abstract not provided.

ACM International Conference Proceeding Series

Aimone, James B.; Pinar, Ali P.; Parekh, Ojas D.; Severa, William M.; Phillips, Cynthia A.; Xu, Helen

With the advent of large-scale neuromorphic platforms, we seek to better understand the applications of neuromorphic computing to more general-purpose computing domains. Graph analysis problems have grown increasingly relevant in the wake of readily available massive data. We demonstrate that a broad class of combinatorial and graph problems known as dynamic programs enjoy simple and efficient neuromorphic implementations, by developing a general technique to convert dynamic programs to spiking neuromorphic algorithms. Dynamic programs have been studied for over 50 years and have dozens of applications across many fields.

2016 International Conference on Computing, Networking and Communications, ICNC 2016

Zage, David J.; Xu, Helen; Kroeger, Thomas M.; Hahn, Bridger; Donoghue, Nolan P.; Benson, Thomas R.

Data security and availability for operational use are frequently seen as conflicting goals. Research on searchable encryption and homomorphic encryption are a start, but they typically build from encryption methods that, at best, provide protections based on problems assumed to be computationally hard. By contrast, data encoding methods such as secret sharing provide information-theoretic data protections. Archives that distribute data using secret sharing can provide data protections that are resilient to malicious insiders, compromised systems, and untrusted components. In this paper, we create the Serial Interpolation Filter, a method for storing and interacting with sets of data that are secured and distributed using secret sharing. We provide the ability to operate over set-oriented data distributed across multiple repositories without exposing the original data. Furthermore, we demonstrate the security of our method under various attacker models and provide protocol extensions to handle colluding attackers. The Serial Interpolation Filter provides information-theoretic protections from a single attacker and computationally hard protections from colluding attackers.

Kroeger, Thomas M.; Xu, Helen; Donoghue, Nolan P.; Hahn, Bridger; Zage, David J.

Abstract not provided.

Kroeger, Thomas M.; Xu, Helen; Donoghue, Nolan P.; Hahn, Bridger; Zage, David J.

Abstract not provided.