Antonio Emanuele Cinà

50 papers A* 5A 3B 2C 1Journal 35Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluating the robustness of explainable AI in medical image recognition under natural and adversarial data corruption.
Mach. Learn.
Sara Repetto, Igor Maljkovic, Michele Lotto, Antonio Emanuele Cinà, Sebastiano Vascon, Fabio Roli
2026 J jnl
HORNET: Fast and minimal adversarial perturbations.
Inf. Sci.
Jiaping Wu, Antonio Emanuele Cinà, Francesco Villani, Zhaoqiang Xia, Luca Demetrio, Luca Oneto, Davide Anguita, Fabio Roli, Xiaoyi Feng
2026 J jnl
On the robustness of adversarial training against uncertainty attacks.
Pattern Recognit.
Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli
2026 J jnl
Poison once, fool many: Practical poisoning attacks against text-to-image retrieval systems.
Knowl. Based Syst.
Dario Lazzaro, Raffaele Mura, Antonio Emanuele Cinà, Giuseppe Laurita, Gianni Viardo Vercelli, Luca Oneto, Battista Biggio, Fabio Roli
2026 J jnl
Sonic: Fast and transferable data poisoning on clustering algorithms.
Inf. Sci.
Francesco Villani, Dario Lazzaro, Antonio Emanuele Cinà, Matteo Dell'Amico, Battista Biggio, Fabio Roli
2025 A* conf
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples.
AAAI
Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
2025 J jnl
Backdoor learning curves: explaining backdoor poisoning beyond influence functions.
Int. J. Mach. Learn. Cybern.
Antonio Emanuele Cinà, Kathrin Grosse, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2025 A conf
Code Generation of Smart Contracts with LLMs: A Case Study on Hyperledger Fabric.
ISSRE
Luca Olivieri, David Beste, Luca Negrini, Lea Schönherr, Antonio Emanuele Cinà, Pietro Ferrara
2025 J jnl
Energy-latency attacks via sponge poisoning.
Inf. Sci.
Antonio Emanuele Cinà, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2025 J jnl
Evaluating the Evaluators: Trust in Adversarial Robustness Tests.
CoRR
Antonio Emanuele Cinà, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
2025 — conf
Evaluating the evaluators: trust in adversarial robustness tests.
Ital-IA
Antonio Emanuele Cinà, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
2025 — conf
Exploring the Potential of LLMs for Code Deobfuscation.
DIMVA (1)
David Beste, Grégoire Menguy, Hossein Hajipour, Mario Fritz, Antonio Emanuele Cinà, Sébastien Bardin, Thorsten Holz, Thorsten Eisenhofer, Lea Schönherr
2025 A* conf
Pirates of Charity: Exploring Donation-based Abuses in Social Media Platforms.
WWW
Bhupendra Acharya, Dario Lazzaro, Antonio Emanuele Cinà, Thorsten Holz
2025 J jnl
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach.
CoRR
João B. S. Carvalho, Alessandro Torcinovich, Victor Jimenez Rodriguez, Antonio Emanuele Cinà, Carlos Cotrini, Lea Schönherr, Joachim M. Buhmann
2025 J jnl
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach.
Trans. Mach. Learn. Res.
João B. S. Carvalho, Victor Jimenez Rodriguez, Alessandro Torcinovich, Antonio Emanuele Cinà, Carlos Cotrini, Lea Schönherr, Joachim M. Buhmann
2025 J jnl
Robust image classification with multi-modal large language models.
Pattern Recognit. Lett.
Francesco Villani, Igor Maljkovic, Dario Lazzaro, Angelo Sotgiu, Antonio Emanuele Cinà, Fabio Roli
2025 A* conf
σ-zero: Gradient-based Optimization of ℓ0-norm Adversarial Examples.
ICLR
Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo
2024 J jnl
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples.
CoRR
Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
2024 A conf
Computing the Capacity of Discrete Channels Using Vector Flows.
DIS
Guglielmo Beretta, Giacomo Chiarot, Antonio Emanuele Cinà, Marcello Pelillo
2024 A* conf
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams.
SP
Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Hoang Dai Nguyen, Adam Oest, Phani Vadrevu, Thorsten Holz
2024 J jnl
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams.
CoRR
Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Hoang Dai Nguyen, Adam Oest, Phani Vadrevu, Thorsten Holz
2024 J jnl
Machine Learning Security Against Data Poisoning: Are We There Yet?
Computer
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2024 J jnl
On the Robustness of Adversarial Training Against Uncertainty Attacks.
CoRR
Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli
2024 J jnl
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis.
CoRR
Zhang Chen, Luca Demetrio, Srishti Gupta, Xiaoyi Feng, Zhaoqiang Xia, Antonio Emanuele Cinà, Maura Pintor, Luca Oneto, Ambra Demontis, Battista Biggio, Fabio Roli
2024 J jnl
Pirates of Charity: Exploring Donation-based Abuses in Social Media Platforms.
CoRR
Bhupendra Acharya, Dario Lazzaro, Antonio Emanuele Cinà, Thorsten Holz
2024 J jnl
Robust image classification with multi-modal large language models.
CoRR
Francesco Villani, Igor Maljkovic, Dario Lazzaro, Angelo Sotgiu, Antonio Emanuele Cinà, Fabio Roli
2024 J jnl
Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms.
CoRR
Francesco Villani, Dario Lazzaro, Antonio Emanuele Cinà, Matteo Dell'Amico, Battista Biggio, Fabio Roli
2024 A* conf
The Imitation Game: Exploring Brand Impersonation Attacks on Social Media Platforms.
USENIX Security Symposium
Bhupendra Acharya, Dario Lazzaro, Efrén López-Morales, Adam Oest, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Thorsten Holz
2024 C conf
Toward Measuring and Understanding the Overvalidation Phenomena.
ICMLA
Fabrizio Mori, Antonio Emanuele Cinà, Fabio Roli, Davide Anguita, Luca Oneto
2024 — conf
Understanding XAI Through the Philosopher's Lens: A Historical Perspective.
DAO-XAI@ECAI
Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo
2024 A conf
Understanding XAI Through the Philosopher's Lens: A Historical Perspective.
ECAI
Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo
2024 J jnl
Understanding XAI Through the Philosopher's Lens: A Historical Perspective.
CoRR
Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo
2024 J jnl
σ-zero: Gradient-based Optimization of 𝓁
CoRR
Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo
2023 J jnl
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks.
CoRR
Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli
2023 J jnl
Hardening RGB-D object recognition systems against adversarial patch attacks.
Inf. Sci.
Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli
2023 — conf
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training.
ICIAP (2)
Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2023 J jnl
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training.
CoRR
Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2023 B conf
On the Limitations of Model Stealing with Uncertainty Quantification Models.
ESANN
David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr
2023 J jnl
On the Limitations of Model Stealing with Uncertainty Quantification Models.
CoRR
David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr
2023 J jnl
Vector Flows and the Capacity of a Discrete Memoryless Channel.
CoRR
Guglielmo Beretta, Giacomo Chiarot, Antonio Emanuele Cinà, Marcello Pelillo
2023 J jnl
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning.
ACM Comput. Surv.
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
2022 J jnl
A black-box adversarial attack for poisoning clustering.
Pattern Recognit.
Antonio Emanuele Cinà, Alessandro Torcinovich, Marcello Pelillo
2022 J jnl
Energy-Latency Attacks via Sponge Poisoning.
CoRR
Antonio Emanuele Cinà, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2022 J jnl
Machine Learning Security against Data Poisoning: Are We There Yet?
CoRR
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2022 J jnl
Security of Machine Learning (Dagstuhl Seminar 22281).
Dagstuhl Reports
Battista Biggio, Nicholas Carlini, Pavel Laskov, Konrad Rieck, Antonio Emanuele Cinà
2022 J jnl
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning.
CoRR
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
2021 J jnl
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions.
CoRR
Antonio Emanuele Cinà, Kathrin Grosse, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2021 B conf
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
IJCNN
Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2021 J jnl
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?
CoRR
Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
2020 J jnl
A Black-box Adversarial Attack for Poisoning Clustering.
CoRR
Antonio Emanuele Cinà, Alessandro Torcinovich, Marcello Pelillo