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GUBRI Martin

Main Referenced Co-authors
CORDY, Maxime  (5)
PAPADAKIS, Michail  (4)
LE TRAON, Yves  (3)
Sen, Koushik (2)
Boystov, Andrey (1)
Main Referenced Keywords
deep learning (2); Transferability (2); adversarial example (1); Adversarial examples (1); adversarial examples (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SerVal - Security, Reasoning & Validation (3)
Main Referenced Disciplines
Computer science (7)
Mathematics (1)

Publications (total 7)

The most downloaded
492 downloads
GUBRI, M., CORDY, M., PAPADAKIS, M., LE TRAON, Y., & Sen, K. (2022). Efficient and Transferable Adversarial Examples from Bayesian Neural Networks. The 38th Conference on Uncertainty in Artificial Intelligence. https://hdl.handle.net/10993/49232

The most cited

22 citations (Scopus®)

GUBRI, M., CORDY, M., PAPADAKIS, M., Traon, Y. L., & Sen, K. (2022). LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. In Computer Vision -- ECCV 2022 (pp. 603--618). Springer Nature Switzerland. https://hdl.handle.net/10993/53418

Kim, S., Yun, S., Lee, H., GUBRI, M., Yoon, S., & Oh, S. J. (2023). ProPILE: Probing Privacy Leakage in Large Language Models. Advances in Neural Information Processing Systems 36 (NeurIPS 2023).
Peer reviewed

GUBRI, M. (2023). What Matters in Model Training to Transfer Adversarial Examples [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55429

GUBRI, M., CORDY, M., & LE TRAON, Y. (2023). Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55436.

GUBRI, M., CORDY, M., PAPADAKIS, M., LE TRAON, Y., & Sen, K. (2022). Efficient and Transferable Adversarial Examples from Bayesian Neural Networks. The 38th Conference on Uncertainty in Artificial Intelligence.
Peer reviewed

GUBRI, M., CORDY, M., PAPADAKIS, M., Traon, Y. L., & Sen, K. (2022). LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. In Computer Vision -- ECCV 2022 (pp. 603--618). Springer Nature Switzerland.
Peer reviewed

FRANCI, A., CORDY, M., GUBRI, M., PAPADAKIS, M., & Traon, Y. (2022). Influence-driven data poisoning in graph-based semi-supervised classifiers. International Conference on AI Engineering: Software Engineering for AI, 77–87. doi:10.1145/3522664.3528606
Peer reviewed

GHAMIZI, S., CORDY, M., GUBRI, M., PAPADAKIS, M., Boystov, A., LE TRAON, Y., & Goujon, A. (2020). Search-based adversarial testing and improvement of constrained credit scoring systems. In ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '20), November 8-13, 2020.
Peer reviewed

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