Axolotl: A Keylogger for iPhone and Android – Tomas Reimers – Medium

#artificialintelligence 

Note: This post was co-authored by Greg Foster (Medium won't let us add co-authors), definitely check out his profile! TL;DR This post motivates and describes an attack where accelerometer/gyroscope readings and machine learning are used to develop a keylogger for mobile devices. While previous research has been conducted in this space, we hope that our narrative is useful for someone tackling an unintuitive machine learning problem (also the results and graphs are just really darn cool). In Fall 2016, we were tasked with creating a final project for CS263 (Harvard's Systems' Security Class): implementing some attack. Mostly to spite our hype-hating professor, we committed to integrating the greatest buzzword of all into our project -- machine learning.

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