touchlogging

Allowing patterns to emerge from high dimensional unavoidably noisy data. The goal of this work is to raise awareness about the potential risks related to motion sensors built-in wearable devices and to demonstrate abuse opportunities leveraged by advanced neural network architectures. The LSTM-based implementation presented in this research can perform touchlogging and keylogging on 12-keys keypads with above-average accuracy even when confronted with raw unprocessed data.

2015, Tony Beltramelli, Sebastian Risi, “Deep-Spying: Spying using Smartwatch and Deep Learning”, in arXiv