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Martin Gubri
Martin Gubri
Parameter Lab
Verified email at parameterlab.de - Homepage
Title
Cited by
Cited by
Year
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, 20750-20762, 2023
1522023
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
432022
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
312020
Calibrating large language models using their generations only
D Ulmer, M Gubri, H Lee, S Yun, SJ Oh
arXiv preprint arXiv:2403.05973, 2024
152024
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
112022
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
7*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
22023
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
H Puerto, M Gubri, S Yun, SJ Oh
arXiv preprint arXiv:2411.00154, 2024
12024
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
12024
Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression
M Gubri
arXiv preprint arXiv:1801.01953, 2018
12018
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models
A Davies, E Nguyen, M Simeone, E Johnston, M Gubri
arXiv preprint arXiv:2412.16355, 2024
2024
What Matters in Model Training to Transfer Adversarial Examples
M Gubri
Unilu-University of Luxembourg, Luxembourg, 2023
2023
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