Machine Learning

Automated Injection and Removal of Medical Evidence in CT

Yisroel Mirsky

Backdooring Convolutional Neural Networks

Walter Scheirer

Behavioral Biometrics and Context Analytics

Jesus Solano

Clairvoyance concurrent lip reading for smart masses

Kenya Yoshimura

Competitions in Infosec ML

Hyrum Anderson

Datasciencery by the Splunk Field

Ryan Kovar

Deep Fakes Panel

Samantha Cole

Disinformation Its the Thought that Counts

Rand Waltzman

Exploratory Data Analysis Why and How in Python

Lauren Putvin

Fighting Malware with Deep Learning video

Angelo Oliveira

From Noisy Distorted data sets to excellent prediction model

Tal Leibovich

How to Get over your malicious extensions using deep learning -DEF CON 27 AI Village

Roei Amit

Loss Is More Improving Malware Detectors

Dr Ethan Rudd

Machine Learnings Privacy Problem

Jason Mancuso

Misinformation Keynote

Bob Lord

Opening Remarks

AI Village Organizers

Regulating AI and Algorithms Lessons

Laurin Weissinger

Securing your kubeflow clusters

Barton Rhodes

Seeing is deceiving The rise of AI synthesized fake media

Siwei Lyu

3D Rendering with Python

Andrew Williams

A Programmer's Guide to Public Speaking

Donna Zhou

Anatomy of a Browser

Erin Zimmer

Automagically marking Python course work and assessments in seconds!

Best Practices for Cryptography In Python

Paul Kehrer

Building a Sustainable Python Package Index

Dustin Ingram

Building an interactive training environment using JupyterHub

Graham Dumpleton

Building, designing, teaching and training simulation environments for Machine Learning

Changing what’s normal: how to transfer concepts between groups

Maia Sauren