Quantifying the Security of Recognition Passwords: Gestures and Signatures

no code implementations • 21 Dec 2018 • Can Liu, Shridatt Sugrim, Gradeigh D. Clark, Janne Lindqvist

We use a partial guessing metric, which demonstrates how many guesses an attacker needs to crack a percentage of the entire space, to compare the security of the distributions for gestures, signatures, and Android unlock patterns.

Cryptography and Security

AutoGAN: Robust Classifier Against Adversarial Attacks

no code implementations • 8 Dec 2018 • Blerta Lindqvist, Shridatt Sugrim, Rauf Izmailov

For different magnitudes of perturbation in training and testing, AutoGAN can surpass the accuracy of FGSM method by up to 25\% points on samples perturbed using FGSM.

Generative Adversarial Network