| Adversarial attacks on time-series intrusion detection for industrial control systems G Zizzo, C Hankin, S Maffeis, K Jones 2020 IEEE 19th International Conference on Trust, Security and Privacy in …, 2020 | 42* | 2020 |
| Fat: Federated adversarial training G Zizzo, A Rawat, M Sinn, B Buesser arXiv preprint arXiv:2012.01791, 2020 | 41 | 2020 |
| Position tracking during human walking using an integrated wearable sensing system G Zizzo, L Ren Sensors 17 (12), 2866, 2017 | 40 | 2017 |
| Adversarial machine learning beyond the image domain G Zizzo, C Hankin, S Maffeis, K Jones Proceedings of the 56th Annual Design Automation Conference 2019, 1-4, 2019 | 38 | 2019 |
| CPS-MT: A real-time cyber-physical system monitoring tool for security research M Barrère, C Hankin, A Barboni, G Zizzo, F Boem, S Maffeis, T Parisini 2018 IEEE 24th International Conference on Embedded and Real-Time Computing …, 2018 | 26 | 2018 |
| Certified federated adversarial training G Zizzo, A Rawat, M Sinn, S Maffeis, C Hankin arXiv preprint arXiv:2112.10525, 2021 | 9 | 2021 |
| Machine learning platform for extreme scale computing on compressed IoT data S Tirupathi, D Salwala, G Zizzo, A Rawat, M Purcell, SK Jensen, ... 2022 IEEE International Conference on Big Data (Big Data), 3179-3185, 2022 | 7 | 2022 |
| A wolf in sheep’s clothing: Query-free evasion attacks against machine learning-based malware detectors with generative adversarial networks D Gibert, J Planes, Q Le, G Zizzo 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2023 | 6 | 2023 |
| Matching pairs: Attributing fine-tuned models to their pre-trained large language models M Foley, A Rawat, T Lee, Y Hou, G Picco, G Zizzo arXiv preprint arXiv:2306.09308, 2023 | 4 | 2023 |
| Federated Continual Learning with Differentially Private Data Sharing G Zizzo, A Rawat, N Holohan, S Tirupathi Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 4 | 2022 |
| Deep latent defence G Zizzo, C Hankin, S Maffeis, K Jones arXiv preprint arXiv:1910.03916, 2019 | 2 | 2019 |
| Robust Learning Protocol for Federated Tumor Segmentation Challenge A Rawat, G Zizzo, S Kadhe, JP Epperlein, S Braghin International MICCAI Brainlesion Workshop, 183-195, 2022 | 1 | 2022 |
| Verifiable Federated Learning S Bottoni, G Zizzo, S Braghin, A Trombetta Workshop on Federated Learning: Recent Advances and New Challenges (in …, 2022 | 1 | 2022 |
| Adversarial Robustness of Deep Learning-based Malware Detectors via (De) Randomized Smoothing D Gibert, G Zizzo, Q Le, J Planes arXiv preprint arXiv:2402.15267, 2024 | | 2024 |
| Federated continual learning G Zizzo, A Rawat, N Holohan, S Tirupathi US Patent App. 17/869,095, 2024 | | 2024 |
| Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation J Thakkar, G Zizzo, S Maffeis arXiv preprint arXiv:2401.10405, 2024 | | 2024 |
| Domain Adaptation for Time series Transformers using One-step fine-tuning S Khanal, S Tirupathi, G Zizzo, A Rawat, TB Pedersen arXiv preprint arXiv:2401.06524, 2024 | | 2024 |
| Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience J Thakkar, G Zizzo, S Maffeis arXiv preprint arXiv:2312.14260, 2023 | | 2023 |
| Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks D Gibert, G Zizzo, Q Le Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | | 2023 |
| Federated Generative Models for Website Assessment A Rawat, S Braghin, K Levacher, NM Tran, G Zizzo US Patent App. 17/655,847, 2023 | | 2023 |
Ambrish RawatSenior Research Scientist, IBM ResearchDirección de correo verificada de ie.ibm.com
