Antonio Emanuele Cinà

According to our database, Antonio Emanuele Cinà authored at least 27 papers between 2021 and 2025.

Collaborative distances:

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

2025

Evaluating the Evaluators: Trust in Adversarial Robustness Tests.

Antonio Emanuele Cinà, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli

CoRR, July, 2025

Backdoor learning curves: explaining backdoor poisoning beyond influence functions.

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

Int. J. Mach. Learn. Cybern., March, 2025

Rethinking Robustness in Machine Learning: A Posterior Agreement Approach.

João B. S. Carvalho, Alessandro Torcinovich, Victor Jimenez Rodriguez, Antonio Emanuele Cinà, Carlos Cotrini, Lea Schönherr, Joachim M. Buhmann

CoRR, March, 2025

Robust image classification with multi-modal large language models.

Francesco Villani, Igor Maljkovic, Dario Lazzaro, Angelo Sotgiu, Antonio Emanuele Cinà, Fabio Roli

Pattern Recognit. Lett., 2025

Energy-latency attacks via sponge poisoning.

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

Inf. Sci., 2025

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

Bhupendra Acharya, Dario Lazzaro, Antonio Emanuele Cinà, Thorsten Holz

Proceedings of the ACM on Web Conference 2025, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring the Potential of LLMs for Code Deobfuscation.

David Beste, Grégoire Menguy, Hossein Hajipour, Mario Fritz, Antonio Emanuele Cinà, Sébastien Bardin, Thorsten Holz, Thorsten Eisenhofer, Lea Schönherr

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

On the Robustness of Adversarial Training Against Uncertainty Attacks.

Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli

CoRR, 2024

Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms.

Francesco Villani, Dario Lazzaro, Antonio Emanuele Cinà, Matteo Dell'Amico, Battista Biggio, Fabio Roli

CoRR, 2024

Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis.

Zhang Chen, Luca Demetrio, Srishti Gupta, Xiaoyi Feng, Zhaoqiang Xia, Antonio Emanuele Cinà, Maura Pintor, Luca Oneto, Ambra Demontis, Battista Biggio, 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

The Imitation Game: Exploring Brand Impersonation Attacks on Social Media Platforms.

Bhupendra Acharya, Dario Lazzaro, Efrén López-Morales, Adam Oest, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Thorsten Holz

Proceedings of the 33rd USENIX Security Symposium, 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

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Toward Measuring and Understanding the Overvalidation Phenomena.

Fabrizio Mori, Antonio Emanuele Cinà, Fabio Roli, Davide Anguita, Luca Oneto

Proceedings of the International Conference on Machine Learning and Applications, 2024

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

Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Computing the Capacity of Discrete Channels Using Vector Flows.

Guglielmo Beretta, Giacomo Chiarot, Antonio Emanuele Cinà, Marcello Pelillo

Proceedings of the Dynamics of Information Systems - 7th International Conference, 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.

Guglielmo Beretta, Giacomo 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

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