Battista Biggio
Università degli Studi di Cagliari
H-index: 47
Europe-Italy
Top articles of Battista Biggio
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Machine learning security against data poisoning: Are we there yet? | Antonio Emanuele Cinà Kathrin Grosse Ambra Demontis Battista Biggio Fabio Roli | 2024/3/6 | |
Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation | arXiv preprint arXiv:2402.18329 | Dmitrijs Trizna Luca Demetrio Battista Biggio Fabio Roli | 2024/2/28 |
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De) Randomized Smoothing | arXiv preprint arXiv:2405.00392 | Daniel Gibert Luca Demetrio Giulio Zizzo Quan Le Jordi Planes | 2024/5/1 |
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates | arXiv preprint arXiv:2402.17390 | Daniele Angioni Luca Demetrio Maura Pintor Luca Oneto Davide Anguita | 2024/2/27 |
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples | arXiv preprint arXiv:2404.19460 | Antonio Emanuele Cinà Jérôme Rony Maura Pintor Luca Demetrio Ambra Demontis | 2024/4/30 |
When Your AI Becomes a Target: AI Security Incidents and Best Practices | Proceedings of the AAAI Conference on Artificial Intelligence | Kathrin Grosse Lukas Bieringer Tarek R Besold Battista Biggio Alexandre Alahi | 2024/3/24 |
-zero: Gradient-based Optimization of -norm Adversarial Examples | arXiv preprint arXiv:2402.01879 | Antonio Emanuele Cinà Francesco Villani Maura Pintor Lea Schönherr Battista Biggio | 2024/2/2 |
Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks | IEEE Transactions on Intelligent Transportation Systems | Zhishan Li Hongxu Chen Battista Biggio Yifan He Haoran Cai | 2024/3/18 |
Rethinking data augmentation for adversarial robustness | Information Sciences | Hamid Eghbal-zadeh Werner Zellinger Maura Pintor Kathrin Grosse Khaled Koutini | 2024/1/1 |
Machine Learning Security in Industry: A Quantitative Survey | IEEE Transactions on Information Forensics and Security | Kathrin Grosse Lukas Bieringer Tarek R Besold Battista Biggio Katharina Krombholz | 2023/3/2 |
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training | Dario Lazzaro Antonio Emanuele Cinà Maura Pintor Ambra Demontis Battista Biggio | 2023/9/5 | |
Adversarial ModSecurity: Countering Adversarial SQL Injections with Robust Machine Learning | arXiv preprint arXiv:2308.04964 | Biagio Montaruli Luca Demetrio Andrea Valenza Battista Biggio Luca Compagna | 2023/8/9 |
Hardening RGB-D object recognition systems against adversarial patch attacks | Information Sciences | Yang Zheng Luca Demetrio Antonio Emanuele Cinà Xiaoyi Feng Zhaoqiang Xia | 2023/12/1 |
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches | Pattern Recognition | Maura Pintor Daniele Angioni Angelo Sotgiu Luca Demetrio Ambra Demontis | 2023/2/1 |
Security of Machine Learning (Dagstuhl Seminar 22281) | Battista Biggio Nicholas Carlini Pavel Laskov Konrad Rieck Antonio Emanuele Cinà | 2023 | |
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving | Maura Pintor Luca Demetrio Angelo Sotgiu Hsiao-Ying Lin Chengfang Fang | 2023/7/9 | |
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors | Biagio Montaruli Luca Demetrio Maura Pintor Luca Compagna Davide Balzarotti | 2023/11/30 | |
Adversarial Attacks Against Uncertainty Quantification | Emanuele Ledda Daniele Angioni Giorgio Piras Giorgio Fumera Battista Biggio | 2023 | |
Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors | Avishag Shapira Alon Zolfi Luca Demetrio Battista Biggio Asaf Shabtai | 2023 | |
Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks | Giorgio Piras Maura Pintor Ambra Demontis Battista Biggio | 2023/7/9 |
Co-Authors
