Sfoglia per Autore BIGGIO, BATTISTA
Evaluating line-level localization ability of learning-based code vulnerability detection models
2026-01-01 Pintore, Marco; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista
Buffer-free class-incremental learning with out-of-distribution detection
2026-01-01 Gupta, Srishti; Angioni, Daniele; Pintor, Maura; Demontis, Ambra; Schönherr, Lea; Roli, Fabio; Biggio, Battista
Robust Large-Scale Detection of Living-Off-the-Land Reverse Shells via Data Synthesis
2026-01-01 Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio
SOM directions are better than one: multi-directional refusal suppression in language models
2026-01-01 Piras, Giorgio; Mura, Raffaele; Brau, Fabio; Oneto, Luca; Roli, Fabio; Biggio, Battista
On the robustness of adversarial training against uncertainty attacks
2026-01-01 Ledda, Emanuele; Scodeller, Giovanni; Angioni, Daniele; Piras, Giorgio; Cinà, Antonio Emanuele; Fumera, Giorgio; Biggio, Battista; Roli, Fabio
Sonic: Fast and transferable data poisoning on clustering algorithms
2026-01-01 Villani, Francesco; Lazzaro, Dario; Emanuele Cinà, Antonio; Dell'Amico, Matteo; Biggio, Battista; Roli, Fabio
Poison once, fool many: practical poisoning attacks against text-to-image retrieval systems
2026-01-01 Lazzaro, Dario; Mura, Raffaele; Ciná, Antonio Emanuele; Laurita, Giuseppe; Vercelli, Gianni; Oneto, Luca; Biggio, Battista; Roli, Fabio
HO-FMN: Hyperparameter optimization for fast minimum-norm attacks
2025-01-01 Mura, Raffaele; Floris, Giuseppe; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Giacinto, Giorgio; Biggio, Battista; Roli, Fabio
\textbackslash sigma-zero: Gradient-based Optimization of \textbackslash ell\_0-norm Adversarial Examples
2025-01-01 Cinà, Antonio Emanuele; Villani, Francesco; Pintor, Maura; Schönherr, Lea; Biggio, Battista; Pelillo, Marcello
Understanding Regression in Continual Learning for Malware Detection
2025-01-01 Ghiani, Daniele; Angioni, Daniele; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista
ModSec-AdvLearn: countering adversarial SQL injections with robust machine learning
2025-01-01 Floris, Giuseppe; Scano, Christian; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista
Less is more? An ablation study on AutoAttack for adversarial robustness evaluation
2025-01-01 Melis, Luca; Scionis, Luca; Brau, Fabio; Pintor, Maura; Biggio, Battista
A comparative analysis of active learning strategies for Android malware detection
2025-01-01 Manca, Cristian; Minnei, Luca; Pintor, Maura; Brau, Fabio; Biggio, Battista
SLIFER: Investigating performance and robustness of malware detection pipelines
2025-01-01 Ponte, Andrea; Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Ogbu, Ivan Tesfai; Roli, Fabio
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
2025-01-01 Cinà, Antonio Emanuele; Rony, Jérôme; Pintor, Maura; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Ayed, Ismail Ben; Roli, Fabio
An Experimental Analysis of Semi-supervised Learning for Malware Detection
2025-01-01 Minnei, Luca; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Maiorca, Davide; Biggio, Battista
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
2025-01-01 Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Oneto, Luca; Anguita, Davide; Biggio, Battista; Roli, Fabio
Energy-latency attacks via sponge poisoning
2025-01-01 Cinà, Antonio Emanuele; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello
Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness
2025-01-01 Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Giacinto, Giorgio; Roli, Fabio
ModSec-Learn: Boosting ModSecurity with Machine Learning
2025-01-01 Scano, Christian; Floris, Giuseppe; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Evaluating line-level localization ability of learning-based code vulnerability detection models | 1-gen-2026 | Pintore, Marco; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista | MACHINE LEARNING | - |
| Buffer-free class-incremental learning with out-of-distribution detection | 1-gen-2026 | Gupta, Srishti; Angioni, Daniele; Pintor, Maura; Demontis, Ambra; Schönherr, Lea; Roli, Fabio; Biggio, Battista | PATTERN RECOGNITION | - |
| Robust Large-Scale Detection of Living-Off-the-Land Reverse Shells via Data Synthesis | 1-gen-2026 | Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Roli, Fabio | ACM TRANSACTIONS ON PRIVACY AND SECURITY | - |
| SOM directions are better than one: multi-directional refusal suppression in language models | 1-gen-2026 | Piras, Giorgio; Mura, Raffaele; Brau, Fabio; Oneto, Luca; Roli, Fabio; Biggio, Battista | - | - |
| On the robustness of adversarial training against uncertainty attacks | 1-gen-2026 | Ledda, Emanuele; Scodeller, Giovanni; Angioni, Daniele; Piras, Giorgio; Cinà, Antonio Emanuele; Fumera, Giorgio; Biggio, Battista; Roli, Fabio | PATTERN RECOGNITION | - |
| Sonic: Fast and transferable data poisoning on clustering algorithms | 1-gen-2026 | Villani, Francesco; Lazzaro, Dario; Emanuele Cinà, Antonio; Dell'Amico, Matteo; Biggio, Battista; Roli, Fabio | INFORMATION SCIENCES | - |
| Poison once, fool many: practical poisoning attacks against text-to-image retrieval systems | 1-gen-2026 | Lazzaro, Dario; Mura, Raffaele; Ciná, Antonio Emanuele; Laurita, Giuseppe; Vercelli, Gianni; Oneto, Luca; Biggio, Battista; Roli, Fabio | KNOWLEDGE-BASED SYSTEMS | - |
| HO-FMN: Hyperparameter optimization for fast minimum-norm attacks | 1-gen-2025 | Mura, Raffaele; Floris, Giuseppe; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Giacinto, Giorgio; Biggio, Battista; Roli, Fabio | NEUROCOMPUTING | - |
| \textbackslash sigma-zero: Gradient-based Optimization of \textbackslash ell\_0-norm Adversarial Examples | 1-gen-2025 | Cinà, Antonio Emanuele; Villani, Francesco; Pintor, Maura; Schönherr, Lea; Biggio, Battista; Pelillo, Marcello | - | - |
| Understanding Regression in Continual Learning for Malware Detection | 1-gen-2025 | Ghiani, Daniele; Angioni, Daniele; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista | - | CEUR-WS |
| ModSec-AdvLearn: countering adversarial SQL injections with robust machine learning | 1-gen-2025 | Floris, Giuseppe; Scano, Christian; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | - |
| Less is more? An ablation study on AutoAttack for adversarial robustness evaluation | 1-gen-2025 | Melis, Luca; Scionis, Luca; Brau, Fabio; Pintor, Maura; Biggio, Battista | - | IEEE |
| A comparative analysis of active learning strategies for Android malware detection | 1-gen-2025 | Manca, Cristian; Minnei, Luca; Pintor, Maura; Brau, Fabio; Biggio, Battista | - | IEEE |
| SLIFER: Investigating performance and robustness of malware detection pipelines | 1-gen-2025 | Ponte, Andrea; Trizna, Dmitrijs; Demetrio, Luca; Biggio, Battista; Ogbu, Ivan Tesfai; Roli, Fabio | COMPUTERS & SECURITY | - |
| AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples | 1-gen-2025 | Cinà, Antonio Emanuele; Rony, Jérôme; Pintor, Maura; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Ayed, Ismail Ben; Roli, Fabio | - | - |
| An Experimental Analysis of Semi-supervised Learning for Malware Detection | 1-gen-2025 | Minnei, Luca; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Maiorca, Davide; Biggio, Battista | - | - |
| Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates | 1-gen-2025 | Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Oneto, Luca; Anguita, Davide; Biggio, Battista; Roli, Fabio | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - |
| Energy-latency attacks via sponge poisoning | 1-gen-2025 | Cinà, Antonio Emanuele; Demontis, Ambra; Biggio, Battista; Roli, Fabio; Pelillo, Marcello | INFORMATION SCIENCES | - |
| Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness | 1-gen-2025 | Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Giacinto, Giorgio; Roli, Fabio | PATTERN RECOGNITION | - |
| ModSec-Learn: Boosting ModSecurity with Machine Learning | 1-gen-2025 | Scano, Christian; Floris, Giuseppe; Montaruli, Biagio; Demetrio, Luca; Valenza, Andrea; Compagna, Luca; Ariu, Davide; Piras, Luca; Balzarotti, Davide; Biggio, Battista | - | Springer, Cham |
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile