3 citations · 8 across the 12 of their papers we have counts for
4 papers · 1 filter
Revisiting Android App Categorization
Marco Alecci, Jordan Samhi, Tegawendé F. Bissyandé +1
Numerous tools rely on automatic categorization of Android apps as part of their methodology. However, incorrect categorization can lead to inaccurate outcomes, such as a malware d…
AndroLibZoo: A Reliable Dataset of Libraries Based on Software Dependency Analysis
Jordan Samhi, Tegawendé F. Bissyandé, Jacques Klein
Android app developers extensively employ code reuse, integrating many third-party libraries into their apps. While such integration is practical for developers, it can be challeng…
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability
Marco Alecci, Mauro Conti, Francesco Marchiori +2
Evasion attacks are a threat to machine learning models, where adversaries attempt to affect classifiers by injecting malicious samples. An alarming side-effect of evasion attacks…
Beware of Pickpockets: A Practical Attack against Blocking Cards
Marco Alecci, Luca Attanasio, Alessandro Brighente +4
Today, we rely on contactless smart cards to perform several critical operations (e.g., payments and accessing buildings). Attacking smart cards can have severe consequences, such…