9 citations · 17 across the 11 of their papers we have counts for
3 papers · 1 filter
Unleashing the Tiger: Inference Attacks on Split Learning
Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
We investigate the security of Split Learning -- a novel collaborative machine learning framework that enables peak performance by requiring minimal resources consumption. In the p…
Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries
Dario Pasquini, Marco Cianfriglia, Giuseppe Ateniese +1
Password security hinges on an in-depth understanding of the techniques adopted by attackers. Unfortunately, real-world adversaries resort to pragmatic guessing strategies such as…
Interpretable Probabilistic Password Strength Meters via Deep Learning
Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi
Probabilistic password strength meters have been proved to be the most accurate tools to measure password strength. Unfortunately, by construction, they are limited to solely produ…