94 citations · 209 across the 10 of their papers we have counts for
10 papers
Gradient Concentration, Not Weight Saliency, Explains Representation-Level Class Unlearning
Billel Habbati, Alessio Merlo, Luca Verderame +1
Machine unlearning aims to remove the influence of specific training data while preserving model utility. Many state-of-the-art approaches pursue this goal by restricting the forge…
Automatic Security Assessment of GitHub Actions Workflows
Giacomo Benedetti, Luca Verderame, Alessio Merlo
The demand for quick and reliable DevOps operations pushed distributors of repository platforms to implement workflows. Workflows allow automating code management operations direct…
LiDiTE: a Full-Fledged and Featherweight Digital Twin Framework
Enrico Russo, Gabriele Costa, Giacomo Longo +2
The rising of the Cyber-Physical System (CPS) and the Industry 4.0 paradigms demands the design and the implementation of Digital Twin Frameworks (DTFs) that may support the quick…
PARIOT: Anti-Repackaging for IoT Firmware Integrity
Luca Verderame, Antonio Ruggia, Alessio Merlo
IoT repackaging refers to an attack devoted to tampering with a legitimate firmware package by modifying its content (e.g., injecting some malicious code) and re-distributing it in…
Understanding Fuchsia Security
Francesco Pagano, Luca Verderame, Alessio Merlo
Fuchsia is a new open-source operating system created at Google that is currently under active development. The core architectural principles guiding the design and development of…
You can't always get what you want: towards user-controlled privacy on Android
Davide Caputo, Francesco Pagano, Giovanni Bottino +2
Mobile applications (hereafter, apps) collect a plethora of information regarding the user behavior and his device through third-party analytics libraries. However, the collection…
Gotta CAPTCHA 'Em All: A Survey of Twenty years of the Human-or-Computer Dilemma
Meriem Guerar, Luca Verderame, Mauro Migliardi +2
A recent study has found that malicious bots generated nearly a quarter of overall website traffic in 2019 [100]. These malicious bots perform activities such as price and content…
Deep Adversarial Learning on Google Home devices
Andrea Ranieri, Davide Caputo, Luca Verderame +2
Smart speakers and voice-based virtual assistants are core components for the success of the IoT paradigm. Unfortunately, they are vulnerable to various privacy threats exploiting…
Deep Reinforcement Learning for Black-Box Testing of Android Apps
Andrea Romdhana, Alessio Merlo, Mariano Ceccato +1
The state space of Android apps is huge and its thorough exploration during testing remains a major challenge. In fact, the best exploration strategy is highly dependent on the fea…
ARMAND: Anti-Repackaging through Multi-pattern Anti-tampering based on Native Detection
Alessio Merlo, Antonio Ruggia, Luigi Sciolla +1
App repackaging refers to the practice of customizing an existing mobile app and redistributing it in the wild to fool the final user into installing the repackaged app instead of…