Sfoglia per Autore
Stateful detection of adversarial reprogramming
2023-01-01 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio
Why adversarial reprogramming works, when it fails, and how to tell the difference
2023-01-01 Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Pintor, Maura; Biggio, Battista; Roli, Fabio
Hardening RGB-D object recognition systems against adversarial patch attacks
2023-01-01 Zheng, Yang; Demetrio, Luca; Cinà, Antonio Emanuele; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Biggio, Battista; Roli, Fabio
secml: Secure and explainable machine learning in Python
2022-01-01 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Melis, Marco; Demontis, Ambra; Biggio, Battista
A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification
2022-01-01 Zhang, L; Lambotharan, S; Zheng, G; Liao, Gs; Demontis, A; Roli, F
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers
2022-01-01 Melacci, S.; Ciravegna, G.; Sotgiu, A.; Demontis, A.; Biggio, B.; Gori, M.; Roli, F.
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
2022-01-01 Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Demontis, Ambra; Carlini, Nicholas; Biggio, Battista; Roli, Fabio
Do gradient-based explanations tell anything about adversarial robustness to android malware?
2022-01-01 Melis, M.; Scalas, M.; Demontis, A.; Maiorca, D.; Biggio, B.; Giacinto, G.; Roli, F.
The hammer and the nut: is bilevel optimization really needed to poison linear classifiers?
2021-01-01 Cina, A. E.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M.
Deep neural rejection against adversarial examples
2020-01-01 Sotgiu, Angelo; Demontis, Ambra; Melis, Marco; Biggio, Battista; Fumera, Giorgio; Feng, Xiaoyi; Roli, Fabio
Adversarial detection of Flash Malware: limitations and Open issues
2020-01-01 Maiorca, D.; Demontis, A.; Biggio, B.; Roli, F.; Giacinto, G.
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection
2019-01-01 Demontis, Ambra; Melis, Marco; Biggio, Battista; Maiorca, Davide; Arp, Daniel; Rieck, Konrad; Corona, Igino; Giacinto, Giorgio; Roli, Fabio
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks
2019-01-01 Demontis, Ambra; Melis, Marco; Pintor, Maura; Jagielski, Matthew; Biggio, Battista; Oprea, Alina; Nita-Rotaru, Cristina; Roli, Fabio
Securing Machine Learning against Adversarial Attacks
2018-03-26
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
2018-01-01 Kolosnjaji, Bojan; Demontis, Ambra; Biggio, Battista; Maiorca, Davide; Giacinto, Giorgio; Eckert, Claudia; Roli, Fabio
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid
2018-01-01 Melis, Marco; Demontis, Ambra; Biggio, Battista; Brown, Gavin; Fumera, Giorgio; Roli, Fabio
Infinity-norm support vector machines against adversarial label contamination
2017-01-01 Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Giacinto, Giorgio; Roli, Fabio
Towards poisoning of deep learning algorithms with back-gradient optimization
2017-01-01 Muñoz-González, Luis; Biggio, Battista; Demontis, Ambra; Paudice, Andrea; Wongrassamee, Vasin; Lupu, Emil C.; Roli, Fabio
Secure Kernel Machines against Evasion Attacks
2016-01-01 Russu, Paolo; Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Roli, Fabio
Super-Sparse Learning in Similarity Spaces
2016-01-01 Demontis, Ambra; Melis, Marco; Biggio, Battista; Fumera, Giorgio; Roli, Fabio
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Stateful detection of adversarial reprogramming | 1-gen-2023 | Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Roli, Fabio | INFORMATION SCIENCES | - |
| Why adversarial reprogramming works, when it fails, and how to tell the difference | 1-gen-2023 | Zheng, Yang; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Pintor, Maura; Biggio, Battista; Roli, Fabio | INFORMATION SCIENCES | - |
| Hardening RGB-D object recognition systems against adversarial patch attacks | 1-gen-2023 | Zheng, Yang; Demetrio, Luca; Cinà, Antonio Emanuele; Feng, Xiaoyi; Xia, Zhaoqiang; Jiang, Xiaoyue; Demontis, Ambra; Biggio, Battista; Roli, Fabio | INFORMATION SCIENCES | - |
| secml: Secure and explainable machine learning in Python | 1-gen-2022 | Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Melis, Marco; Demontis, Ambra; Biggio, Battista | SOFTWAREX | - |
| A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification | 1-gen-2022 | Zhang, L; Lambotharan, S; Zheng, G; Liao, Gs; Demontis, A; Roli, F | IEEE WIRELESS COMMUNICATIONS LETTERS | - |
| Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers | 1-gen-2022 | Melacci, S.; Ciravegna, G.; Sotgiu, A.; Demontis, A.; Biggio, B.; Gori, M.; Roli, F. | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - |
| Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples | 1-gen-2022 | Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Demontis, Ambra; Carlini, Nicholas; Biggio, Battista; Roli, Fabio | - | Neural information processing systems foundation |
| Do gradient-based explanations tell anything about adversarial robustness to android malware? | 1-gen-2022 | Melis, M.; Scalas, M.; Demontis, A.; Maiorca, D.; Biggio, B.; Giacinto, G.; Roli, F. | INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | - |
| The hammer and the nut: is bilevel optimization really needed to poison linear classifiers? | 1-gen-2021 | Cina, A. E.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M. | - | IEEE, Institute of Electrical and Electronics Engineers |
| Deep neural rejection against adversarial examples | 1-gen-2020 | Sotgiu, Angelo; Demontis, Ambra; Melis, Marco; Biggio, Battista; Fumera, Giorgio; Feng, Xiaoyi; Roli, Fabio | EURASIP JOURNAL ON MULTIMEDIA AND INFORMATION SECURITY | - |
| Adversarial detection of Flash Malware: limitations and Open issues | 1-gen-2020 | Maiorca, D.; Demontis, A.; Biggio, B.; Roli, F.; Giacinto, G. | COMPUTERS & SECURITY | - |
| Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection | 1-gen-2019 | Demontis, Ambra; Melis, Marco; Biggio, Battista; Maiorca, Davide; Arp, Daniel; Rieck, Konrad; Corona, Igino; Giacinto, Giorgio; Roli, Fabio | IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING | - |
| Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks | 1-gen-2019 | Demontis, Ambra; Melis, Marco; Pintor, Maura; Jagielski, Matthew; Biggio, Battista; Oprea, Alina; Nita-Rotaru, Cristina; Roli, Fabio | - | USENIX Association |
| Securing Machine Learning against Adversarial Attacks | 26-mar-2018 | - | - | Università degli Studi di Cagliari |
| Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables | 1-gen-2018 | Kolosnjaji, Bojan; Demontis, Ambra; Biggio, Battista; Maiorca, Davide; Giacinto, Giorgio; Eckert, Claudia; Roli, Fabio | - | IEEE (Institute of Electrical and Electronics Engineers) |
| Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid | 1-gen-2018 | Melis, Marco; Demontis, Ambra; Biggio, Battista; Brown, Gavin; Fumera, Giorgio; Roli, Fabio | - | IEEE (Institute of Electrical and Electronics Engineers) |
| Infinity-norm support vector machines against adversarial label contamination | 1-gen-2017 | Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Giacinto, Giorgio; Roli, Fabio | - | CEUR-WS |
| Towards poisoning of deep learning algorithms with back-gradient optimization | 1-gen-2017 | Muñoz-González, Luis; Biggio, Battista; Demontis, Ambra; Paudice, Andrea; Wongrassamee, Vasin; Lupu, Emil C.; Roli, Fabio | - | Association for Computing Machinery |
| Secure Kernel Machines against Evasion Attacks | 1-gen-2016 | Russu, Paolo; Demontis, Ambra; Biggio, Battista; Fumera, Giorgio; Roli, Fabio | - | Association for Computing Machinery |
| Super-Sparse Learning in Similarity Spaces | 1-gen-2016 | Demontis, Ambra; Melis, Marco; Biggio, Battista; Fumera, Giorgio; Roli, Fabio | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | - |
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