Jonathan Brokman

Orcid: 0000-0001-6164-0253

According to our database1, Jonathan Brokman authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
MAPS: A Multilingual Benchmark for Global Agent Performance and Security.
CoRR, May, 2025

Identifying Memorization of Diffusion Models Through p-Laplace Analysis.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis.
Proceedings of the IEEE/ACM International Workshop on Responsible AI Engineering, 2025

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Spectral Total-variation Processing of Shapes - Theory and Applications.
ACM Trans. Graph., April, 2024

Enhancing Neural Training via a Correlated Dynamics Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
Additive Class Distinction Maps using Branched-GANs.
CoRR, 2023

2022
Analysis of Branch Specialization and its Application in Image Decomposition.
CoRR, 2022

2021
Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021


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