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20242026
most citedOver-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis

1 citations · 1 across the 3 of their papers we have counts for

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cs.CR2024

Pirates of Charity: Exploring Donation-based Abuses in Social Media Platforms

Bhupendra Acharya, Dario Lazzaro, Antonio Emanuele Cinà +1

With the widespread use of social media, organizations, and individuals use these platforms to raise funds and support causes. Unfortunately, this has led to the rise of scammers i…

cs.LG2024

Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions

Antonio Emanuele CinÃ, Kathrin Grosse, Sebastiano Vascon +4

Backdoor attacks inject poisoning samples during training, with the goal of forcing a machine learning model to output an attacker-chosen class when presented a specific trigger at…

cs.CR2024

Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms

Francesco Villani, Dario Lazzaro, Antonio Emanuele Cinà +3

Data poisoning attacks on clustering algorithms have received limited attention, with existing methods struggling to scale efficiently as dataset sizes and feature counts increase.…

cs.AI2024

Understanding XAI Through the Philosopher's Lens: A Historical Perspective

Martina Mattioli, Antonio Emanuele CinÃ, Marcello Pelillo

Despite explainable AI (XAI) has recently become a hot topic and several different approaches have been developed, there is still a widespread belief that it lacks a convincing uni…

cs.CR2024

Machine Learning Security against Data Poisoning: Are We There Yet?

Antonio Emanuele CinÃ, Kathrin Grosse, Ambra Demontis +3

The recent success of machine learning (ML) has been fueled by the increasing availability of computing power and large amounts of data in many different applications. However, the…