57 citations · 57 across the 8 of their papers we have counts for
9 papers
From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists
Stefano Cecconello, Mauro Conti, Luca Pajola +2
The pervasive integration of AI has enabled Offensive AI: the exploitation of AI for malicious ends across the cyber-kill chain. A critical manifestation is the user attribute infe…
The Unreasonable Effectiveness of Randomized Representations in Online Continual Graph Learning
Giovanni Donghi, Daniele Zambon, Luca Pasa +2
Catastrophic forgetting is one of the main obstacles for Online Continual Graph Learning (OCGL), where nodes arrive one by one, distribution drifts may occur at any time and offlin…
Online Continual Graph Learning
Giovanni Donghi, Luca Pasa, Daniele Zambon +2
Continual Learning (CL) aims to incrementally acquire new knowledge while mitigating catastrophic forgetting. Within this setting, Online Continual Learning (OCL) focuses on updati…
Moshi Moshi? A Model Selection Hijacking Adversarial Attack
Riccardo Petrucci, Luca Pajola, Francesco Marchiori +2
Model selection is a fundamental task in Machine Learning~(ML), focusing on selecting the most suitable model from a pool of candidates by evaluating their performance on specific…
"All of Me": Mining Users' Attributes from their Public Spotify Playlists
Pier Paolo Tricomi, Luca Pajola, Luca Pasa +1
In the age of digital music streaming, playlists on platforms like Spotify have become an integral part of individuals' musical experiences. People create and publicly share their…
Simple Graph Convolutional Networks
Luca Pasa, Nicolò Navarin, Wolfgang Erb +1
Many neural networks for graphs are based on the graph convolution operator, proposed more than a decade ago. Since then, many alternative definitions have been proposed, that tend…
Audio-Visual Target Speaker Enhancement on Multi-Talker Environment using Event-Driven Cameras
Ander Arriandiaga, Giovanni Morrone, Luca Pasa +2
We propose a method to address audio-visual target speaker enhancement in multi-talker environments using event-driven cameras. State of the art audio-visual speech separation meth…
An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-talker Single Channel Audio-Visual ASR
Luca Pasa, Giovanni Morrone, Leonardo Badino
In this paper, we analyzed how audio-visual speech enhancement can help to perform the ASR task in a cocktail party scenario. Therefore we considered two simple end-to-end LSTM-bas…
Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments
Giovanni Morrone, Luca Pasa, Vadim Tikhanoff +3
In this paper, we address the problem of enhancing the speech of a speaker of interest in a cocktail party scenario when visual information of the speaker of interest is available.…