activity
20142024
most citedCan't you hear me knocking: Identification of user actions on Android apps via traffic analysis

15 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Have You Poisoned My Data? Defending Neural Networks against Data Poisoning

Fabio De Gaspari, Dorjan Hitaj, Luigi V. Mancini

The unprecedented availability of training data fueled the rapid development of powerful neural networks in recent years. However, the need for such large amounts of data leads to…

cs.CV2023

OliVaR: Improving Olive Variety Recognition using Deep Neural Networks

Hristofor Miho, Giulio Pagnotta, Dorjan Hitaj +6

The easy and accurate identification of varieties is fundamental in agriculture, especially in the olive sector, where more than 1200 olive varieties are currently known worldwide.…

cs.SI20161 cited

OSSINT - Open Source Social Network Intelligence An efficient and effective way to uncover "private" information in OSN profiles

Giuseppe Cascavilla, Filipe Beato, Andrea Burattin +2

Online Social Networks (OSNs), such as Facebook, provide users with tools to share information along with a set of privacy controls preferences to regulate the spread of informatio…

cs.CR20161 cited

Know Your Enemy: Stealth Configuration-Information Gathering in SDN

Mauro Conti, Fabio De Gaspari, Luigi V. Mancini

Software Defined Networking (SDN) is a network architecture that aims at providing high flexibility through the separation of the network logic from the forwarding functions. The i…

cs.CR201415 cited

Can't you hear me knocking: Identification of user actions on Android apps via traffic analysis

Mauro Conti, Luigi V. Mancini, Riccardo Spolaor +1

While smartphone usage become more and more pervasive, people start also asking to which extent such devices can be maliciously exploited as "tracking devices". The concern is not…