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Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization
Published in ESANN-23, 2023
This paper presents enhancements to fast minimum-norm adversarial attacks through hyperparameter optimization techniques.
Recommended citation: Floris, G., Mura, R., Scionis, L., Piras, G., Pintor, M., Demontis, A., & Biggio, B. (2023). "Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization." European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
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ModSec-Learn: Boosting ModSecurity with Machine Learning
Published in Distributed Computing and Artificial Intelligence, Special Sessions I, 21st International Conference , 2024
This paper introduces ModSec-Learn, a framework to enhance detection of SQL Injection attacks against Web Application Firewalls
Recommended citation: Scano, C., Floris, G., Montaruli, B., Demetrio, L., Valenza, A., Compagna, L., Ariu, D., Piras, L., Balzarotti, D., & Biggio, B. (2024). "ModSec-Learn: Boosting ModSecurity with Machine Learning". Distributed Computing and Artificial Intelligence, Special Sessions I, 21st International Conference
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HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks
Published in Neurocomputing, Vol. 616, Article 128918, 2025
This study introduces HO-FMN, a method for hyperparameter optimization in fast minimum-norm adversarial attacks.
Recommended citation: Mura, R., Floris, G., Scionis, L., Piras, G., Pintor, M., Demontis, A., Giacinto, G., & Biggio, B. (2025). "HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks." Neurocomputing, 616, 128918.
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ModSec-AdvLearn: Countering Adversarial SQL Injections With Robust Machine Learning
Published in IEEE Transactions on Information Forensics and Security Vol. 20, pp. 6693-6705, 2025
This paper introduces ModSec-advLearn, a robust machine learning system to enhance robustness and detection of adversarial SQL Injection and SQL Injection attacks against Web Application Firewalls
Recommended citation: Floris, G; Scano, C; Montaruli, B; Demetrio, L; Valenza, A; Compagna, L; Ariu, D; Piras, L; Balzarotti, D; Biggio, B. ModSec-AdvLearn: Countering Adversarial SQL Injections With Robust Machine Learning. (2025). IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (TIFS) , VOL. 20, pp. 6693-6705, 2025
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