Presented by: Samuel Brice - Software Engineer, Director of Engineering, Two Sigma and NumFOCUS
Presented at All Things Open RTP Meetup/Open Source South Carolina Meetup
Abstract: Recently the New York Times published an article about Clearview AI - the secretive company that might end privacy as we know it. Using a database of billions of images scrapped from websites such as Facebook, and Instagram Clearview can track and identify anyone with a web presence. The tool is actively being used by police agencies around the country and many citizens are concerned about its potential for abuse. My talks goes into detail explaining how Clearview's system works by demonstrating a similar system for tracking and identifying cars using public CCTV cameras. I will cover the steps of implementing such a pipeline from collecting training data, to building a neural net model, to tracking the movements of a car in time and space. Lastly I will cover the implications of such a capability on privacy as well as what can be done to protect our privacy today.
7. A Short History of Facial Recognition
Collecting Data for Deep Learning at Scale
8. A Short History of Facial Recognition
Collecting Data for Deep Learning at Scale
Choosing the Right Model for Object Detection
9. A Short History of Facial Recognition
Collecting Data for Deep Learning at Scale
Choosing the Right Model for Object Detection
Tracking a Vehicle Using Deep Learning
10. A Short History of Facial Recognition
Collecting Data for Deep Learning at Scale
Choosing the Right Model for Object Detection
Tracking a Vehicle Using Deep Learning
Designing and Deploying a Deep Learning Application
11. A Short History of Facial Recognition
Collecting Data for Deep Learning at Scale
Choosing the Right Model for Object Detection
Tracking a Vehicle Using Deep Learning
Designing and Deploying a Deep Learning Application
Protecting Your Privacy from Facial Recognition
12. A Short History of Facial Recognition
Collecting Data for Deep Learning at Scale
Choosing the Right Model for Object Detection
Tracking a Vehicle Using Deep Learning
Designing a Deep Learning Application
Protecting Your Privacy from Facial Recognition
Privacy Implications of Facial Recognition
13. A Short History of Facial Recognition
1960s
Woodrow “Woody” Bledsoe
27. Choosing the Right Model for Object Detection
Faster Region-based Convolutional Neural Networks RCNNs
28. Choosing the Right Model for Object Detection
Faster Region-based Convolutional Neural Networks RCNNs
You Only Look Once YOLO
29. Choosing the Right Model for Object Detection
Faster Region-based Convolutional Neural Networks RCNNs
You Only Look Once YOLO
Single Shot Detectors SSDs
69. The flames kept building until both cabinets were empty.
Woody insisted on sitting in the garage until all that remained was ash.
Lance could only guess at what he’d helped to destroy.
The flames kept building until both cabinets were empty.
Woody insisted on sitting in the garage until all that remained was ash.
Lance could only guess at what he’d helped to destroy.
“
”The Secret History of Facial Recognition, Shaun Ravin
70. Fake News - Your Privacy is Not At Risk!
121 Years
71. Fake News - Your Privacy is Not At Risk!
20112004