| Propile: Probing privacy leakage in large language models S Kim, S Yun, H Lee, M Gubri, S Yoon, SJ Oh Advances in Neural Information Processing Systems 36, 2024 | 38 | 2024 |
| LGV: Boosting adversarial example transferability from large geometric vicinity M Gubri, M Cordy, M Papadakis, YL Traon, K Sen European Conference on Computer Vision, 603-618, 2022 | 27 | 2022 |
| Search-based adversarial testing and improvement of constrained credit scoring systems S Ghamizi, M Cordy, M Gubri, M Papadakis, A Boystov, Y Le Traon, ... Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 23 | 2020 |
| Efficient and transferable adversarial examples from bayesian neural networks M Gubri, M Cordy, M Papadakis, Y Le Traon, K Sen Uncertainty in Artificial Intelligence, 738-748, 2022 | 8 | 2022 |
| Influence-driven data poisoning in graph-based semi-supervised classifiers A Franci, M Cordy, M Gubri, M Papadakis, YL Traon Proceedings of the 1st International Conference on AI Engineering: Software …, 2022 | 4* | 2022 |
| Going further: Flatness at the rescue of early stopping for adversarial example transferability M Gubri, M Cordy, YL Traon arXiv preprint arXiv:2304.02688, 2023 | 1 | 2023 |
| Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression M Gubri arXiv preprint arXiv:1801.01953, 2018 | 1 | 2018 |
| Calibrating Large Language Models Using Their Generations Only D Ulmer, M Gubri, H Lee, S Yun, SJ Oh arXiv preprint arXiv:2403.05973, 2024 | | 2024 |
| TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification M Gubri, D Ulmer, H Lee, S Yun, SJ Oh arXiv preprint arXiv:2402.12991, 2024 | | 2024 |
| What Matters in Model Training to Transfer Adversarial Examples M Gubri University of Luxembourg, Luxembourg, 2023 | | 2023 |
Maxime CordyUniversity of LuxembourgVerified email at uni.lu
