Antonio Emanuele Cinà

According to our database, Antonio Emanuele Cinà authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo

Computer, March, 2024

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples.

Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli

CoRR, 2024

σ-zero: Gradient-based Optimization of 𝓁₀-norm Adversarial Examples.

Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo

CoRR, 2024

Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams.

Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Hoang Dai Nguyen, Adam Oest, Phani Vadrevu, Thorsten Holz

CoRR, 2024

2023

Hardening RGB-D object recognition systems against adversarial patch attacks.

Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli

Inf. Sci., December, 2023

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning.

Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli

ACM Comput. Surv., 2023

Vector Flows and the Capacity of a Discrete Memoryless Channel.

G. Beretta, G. Chiarot, Antonio Emanuele Cinà, Marcello Pelillo

CoRR, 2023

Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training.

Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

On the Limitations of Model Stealing with Uncertainty Quantification Models.

David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Security of Machine Learning (Dagstuhl Seminar 22281).

Battista Biggio, Nicholas Carlini, Pavel Laskov, Konrad Rieck, Antonio Emanuele Cinà

Dagstuhl Reports, July, 2022

A black-box adversarial attack for poisoning clustering.

Antonio Emanuele Cinà, Alessandro Torcinovich, Marcello Pelillo

Pattern Recognit., 2022

Energy-Latency Attacks via Sponge Poisoning.

Antonio Emanuele Cinà, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo

CoRR, 2022

2021

Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions.

Antonio Emanuele Cinà, Kathrin Grosse, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo

CoRR, 2021

The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?

Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo

Proceedings of the International Joint Conference on Neural Networks, 2021