Antonio Emanuele Cinà

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Linear Classifiers

Machine Learning

Top Venues

Pattern Recognit.

USENIX Security Symposium

Publications

Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Machine Learning Security Against Data Poisoning: Are We There Yet? Computer 57 (3) (2024)
Bhupendra Acharya, Dario Lazzaro, Efrén López-Morales, Adam Oest, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Thorsten Holz
The Imitation Game: Exploring Brand Impersonation Attacks on Social Media Platforms. USENIX Security Symposium (2024)
Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo
-norm Adversarial Examples. CoRR (2024)
Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cinà, Lea Schönherr, Hoang Dai Nguyen, Adam Oest, Phani Vadrevu, Thorsten Holz
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams. CoRR (2024)
Zhang Chen, Luca Demetrio, Srishti Gupta, Xiaoyi Feng, Zhaoqiang Xia, Antonio Emanuele Cinà, Maura Pintor, Luca Oneto, Ambra Demontis, Battista Biggio, Fabio Roli
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis. CoRR (2024)
Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. CoRR (2024)
Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo
Understanding XAI Through the Philosopher's Lens: A Historical Perspective. CoRR (2024)
Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. CoRR (2023)
G. Beretta, G. Chiarot, Antonio Emanuele Cinà, Marcello Pelillo
Vector Flows and the Capacity of a Discrete Memoryless Channel. CoRR (2023)
Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli
Hardening RGB-D object recognition systems against adversarial patch attacks. Inf. Sci. 651 (2023)
David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr
On the Limitations of Model Stealing with Uncertainty Quantification Models. CoRR (2023)
Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks. CoRR (2023)
David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr
On the Limitations of Model Stealing with Uncertainty Quantification Models. ESANN (2023)
Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. ICIAP (2) (2023)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. 55 (13s) (2023)
Antonio Emanuele Cinà, Alessandro Torcinovich, Marcello Pelillo
A black-box adversarial attack for poisoning clustering. Pattern Recognit. 122 (2022)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR (2022)
Battista Biggio, Nicholas Carlini, Pavel Laskov, Konrad Rieck, Antonio Emanuele Cinà
Security of Machine Learning (Dagstuhl Seminar 22281). Dagstuhl Reports 12 (7) (2022)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Machine Learning Security against Data Poisoning: Are We There Yet? CoRR (2022)
Antonio Emanuele Cinà, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Energy-Latency Attacks via Sponge Poisoning. CoRR (2022)
Antonio Emanuele Cinà, Kathrin Grosse, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions. CoRR (2021)
Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? CoRR (2021)
Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? IJCNN (2021)
Antonio Emanuele Cinà, Alessandro Torcinovich, Marcello Pelillo
A Black-box Adversarial Attack for Poisoning Clustering. CoRR (2020)