Ambra Demontis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. | Antonio Emanuele Cin, Jrme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli |
| 2024 | ICMLC | LFPD: Local-Feature-Powered Defense Against Adaptive Backdoor Attacks. | Wei Guo, Ambra Demontis, Maura Pintor, Patrick P. K. Chan, Battista Biggio |
| 2024 | ICMLC | Data Drift in Android Malware Detection. | Luca Minnei, Hicham Eddoubi, Angelo Sotgiu, Maura Pintor, Ambra Demontis, Battista Biggio |
| 2023 | ESANN | Towards Machine Learning Models that We Can Trust: Testing, Improving, and Explaining Robustness. | Maura Pintor, Ambra Demontis, Battista Biggio |
| 2023 | ESANN | Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization. | Giorgio Piras, Giuseppe Floris, Raffaele Mura, Luca Scionis, Maura Pintor, Battista Biggio, Ambra Demontis |
| 2023 | ICIAP | Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. | Dario Lazzaro, Antonio Emanuele Cin, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo |
| 2023 | ICMLC | Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving. | Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio |
| 2023 | ICMLC | Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks. | Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio |
| 2023 | PAKDD | BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. | Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jrg Wicker |
| 2022 | CCS | AISec '22: 15th ACM Workshop on Artificial Intelligence and Security. | Ambra Demontis, Xinyun Chen, Florian Tramr |
| 2021 | CCS | Session details: Session 2B: Machine Learning for Cybersecurity. | Ambra Demontis |
| 2021 | IJCNN | The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? | Antonio Emanuele Cin, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo |
| 2020 | CCS | AISec'20: 13th Workshop on Artificial Intelligence and Security. | Sadia Afroz, Nicholas Carlini, Ambra Demontis |
| 2017 | CCS | Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. | Luis Muoz-Gonzlez, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli |
| 2016 | CCS | Secure Kernel Machines against Evasion Attacks. | Paolo Russu, Ambra Demontis, Battista Biggio, Giorgio Fumera, Fabio Roli |
| 2016 | SSPR | On Security and Sparsity of Linear Classifiers for Adversarial Settings. | Ambra Demontis, Paolo Russu, Battista Biggio, Giorgio Fumera, Fabio Roli |
| 2015 | ICIAP | Super-Sparse Regression for Fast Age Estimation from Faces at Test Time. | Ambra Demontis, Battista Biggio, Giorgio Fumera, Fabio Roli |