Wild patterns reloaded: A survey of machine learning security against training data poisoning AE Cinà, K Grosse, A Demontis, S Vascon, W Zellinger, BA Moser, ...
ACM Computing Surveys 55 (13s), 1-39, 2023
122 2023 A black-box adversarial attack for poisoning clustering AE Cinà, A Torcinovich, M Pelillo
Pattern Recognition 122, 108306, 2022
51 2022 Machine learning security against data poisoning: Are we there yet? AE Cinà, K Grosse, A Demontis, B Biggio, F Roli, M Pelillo
IEEE Computer 57 (Issue 3), 26 - 34, 2024
39 2024 Energy-latency attacks via sponge poisoning AE Cinà, A Demontis, B Biggio, F Roli, M Pelillo
arXiv preprint arXiv:2203.08147, 2022
23 2022 The hammer and the nut: Is bilevel optimization really needed to poison linear classifiers? AE Cinà, S Vascon, A Demontis, B Biggio, F Roli, M Pelillo
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
18 2021 Backdoor learning curves: Explaining backdoor poisoning beyond influence functions AE Cinà, K Grosse, S Vascon, A Demontis, B Biggio, F Roli, M Pelillo
International Journal of Machine Learning and Cybernetics, 1-26, 2024
15 2024 Minimizing energy consumption of deep learning models by energy-aware training D Lazzaro, AE Cinà, M Pintor, A Demontis, B Biggio, F Roli, M Pelillo
International Conference on Image Analysis and Processing, 515-526, 2023
8 2023 Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams B Acharya, M Saad, AE Cinà, L Schönherr, HD Nguyen, A Oest, ...
2024 IEEE Symposium on Security and Privacy (SP), 156-156, 2024
5 2024 AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples AE Cinà, J Rony, M Pintor, L Demetrio, A Demontis, B Biggio, IB Ayed, ...
arXiv preprint arXiv:2404.19460, 2024
2 2024 σ-zero: Gradient-based Optimization of 𝓁0-norm Adversarial Examples AE Cinà, F Villani, M Pintor, L Schönherr, B Biggio, M Pelillo
arXiv preprint arXiv:2402.01879, 2024
2 2024 On the Limitations of Model Stealing with Uncertainty Quantification Models D Pape, S Däubener, T Eisenhofer, AE Cinà, L Schönherr
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2023
2 2023 Security of Machine Learning (Dagstuhl Seminar 22281) B Biggio, N Carlini, P Laskov, K Rieck, AE Cinà
Dagstuhl Reports 12 (7), 41--61, 2023
2 2023 Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis Z Chen, L Demetrio, S Gupta, X Feng, Z Xia, AE Cinà, M Pintor, L Oneto, ...
arXiv preprint arXiv:2406.10090, 2024
1 2024 Hardening RGB-D object recognition systems against adversarial patch attacks Y Zheng, L Demetrio, AE Cinà, X Feng, Z Xia, X Jiang, A Demontis, ...
Information Sciences 651, 119701, 2023
1 2023 On the Robustness of Adversarial Training Against Uncertainty Attacks E Ledda, G Scodeller, D Angioni, G Piras, AE Cinà, G Fumera, B Biggio, ...
arXiv preprint arXiv:2410.21952, 2024
2024 Computing the capacity of discrete channels using vector flows G Beretta, G Chiarot, AE Cinà, M Pelillo
LECTURE NOTES IN COMPUTER SCIENCE, 2024
2024 Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms F Villani, D Lazzaro, AE Cinà, M Dell'Amico, B Biggio, F Roli
arXiv preprint arXiv:2408.07558, 2024
2024 Understanding XAI Through the Philosopher's Lens: A Historical Perspective M Mattioli, AE Cinà, M Pelillo
27th European Conference on Artificial Intelligence (ECAI) 392, 987 - 994, 2024
2024 AE Cinà, F Villani, M Pintor, L Schönherr, B Biggio, M Pelillo
arXiv preprint arXiv:2402.01879, 2024
2024 The Imitation Game: Exploring Brand Impersonation Attacks on Social Media Platforms B Acharya, D Lazzaro, E López-Morales, A Oest, M Saad, AE Cinà, ...
33rd USENIX Security Symposium, 2024
2024 
Battista BiggioFull Professor, University of Cagliari, ItalyEmail verificata su unica.it
