Name: Dan Bunnell
Type: User
Company: @facebookresearch
Bio: Engineer at @facebookresearch building privacy-enhancing technology. Former @Microsoft Security and Compliance. MS in Computer Science, University of Washington
Twitter: daniel_bunnell
Location: Grand Rapids, Michigan, United States
Blog: https://danbunnell.com
Dan Bunnell's Projects
A benchmark tool for .NET Core standard collection classes
A minimal net6.0 template to use when starting a new project
A project exploring tools for use in an encrypted messaging schema
FBPCP (Facebook Private Computation Platform) is a secure, privacy safe and scalable architecture to deploy MPC (Multi Party Computation) applications in a distributed way on virtual private clouds. FBPCF (Facebook Private Computation Framework) is for scaling MPC computation up via threading, while FBPCP is for scaling MPC computation out via Priv
FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. Itβs expected that more products will be implemented and added to the Private Measurement suite.
A Jupyter project that recognizes gestures from orientation and acceleration input data.
A basic Node package template
A database for Shorty
My personal website
Creepy roommate? Nosy parents? This project uses computer vision and signal processing to detect the motion and distance of a subject and sounds the alarm when they come too close.
TBD
An interactive, remotely-controllable night light
Controls the Smart Light night light remotely from an Android device
This project is an Android application which uses the built-in accelerometer and signal processing to identify, track, and display steps taken by the user.
A project containing examples using different TLS schemes
A basic template for a GraphQL server written in TypeScript