Fooling Automated Surveillance Cameras with Patchwork Color Printout

Nice bit of adversarial machine learning. The image from this news article is most of what you need to know, but here's the research paper...

Adversarial Machine Learning against Tesla's Autopilot

Researchers have been able to fool Tesla's autopilot in a variety of ways, including convincing it to drive into oncoming traffic. It requires the placement of stickers on the road. Abstract: Keen Security Lab has maintained the security research work on Tesla vehicle and shared our research...

Cybersecurity for the Public Interest

The Crypto Wars have been waging off-and-on for a quarter-century. On one side is law enforcement, which wants to be able to break encryption, to access devices and communications of terrorists and criminals. On the other are almost every cryptographer and computer security expert, repeatedly...

Metasploit for Machine Learning: Deep-Pwning

Deep-pwning is a lightweight framework for experimenting with machine learning models with the goal of evaluating their robustness against a motivated adversary. Note that deep-pwning in its current state is no where close to maturity or completion. It is meant to be experimented with, expanded...