Maria-Irina Nicolae

According to our database, Maria-Irina Nicolae authored at least 14 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks.

Zhixiong Zhuang, Maria-Irina Nicolae, Hui-Po Wang, Mario Fritz

CoRR, May, 2025

Stealix: Model Stealing via Prompt Evolution.

Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment.

Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Stealthy Imitation: Reward-guided Environment-free Policy Stealing.

Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Revisiting Neural Program Smoothing for Fuzzing.

Maria-Irina Nicolae, Max Eisele, Andreas Zeller

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

2018

Adversarial Robustness Toolbox v0.2.2.

Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Benjamin Edwards

CoRR, 2018

2017

Adversarial Phenomenon in the Eyes of Bayesian Deep Learning.

Ambrish Rawat, Martin Wistuba, Maria-Irina Nicolae

CoRR, 2017

Open-World Visual Recognition Using Knowledge Graphs.

Vincent P. A. Lonij, Ambrish Rawat, Maria-Irina Nicolae

CoRR, 2017

Efficient Defenses Against Adversarial Attacks.

Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

Extending Knowledge Bases Using Images.

Vincent P. A. Lonij, Ambrish Rawat, Maria-Irina Nicolae

Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016

Learning similarities for linear classification: theoretical foundations and algorithms. (Apprentissage de similarités pour la classification linéaire: fondements théoriques et algorithmes).

Maria-Irina Nicolae

PhD thesis, 2016

Similarity Learning for Time Series Classification.

Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban

CoRR, 2016

2015

Joint Semi-supervised Similarity Learning for Linear Classification.

Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning.

Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini

Proceedings of the Neural Information Processing - 22nd International Conference, 2015