Jonathan Brokman

According to our database, Jonathan Brokman authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Spectral Total-variation Processing of Shapes - Theory and Applications.

Jonathan Brokman, Martin Burger, Guy Gilboa

ACM Trans. Graph., April, 2024

Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis.

Jonathan Brokman, Omer Hofman, Oren Rachmil, Inderjeet Singh, Rathina Sabapathy, Aishvariya Priya, Vikas Pahuja, Amit Giloni, Roman Vainshtein, Hisashi Kojima

CoRR, 2024

Enhancing Neural Training via a Correlated Dynamics Model.

Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models.

Jonathan Brokman, Omer Hofman, Roman Vainshtein, Amit Giloni, Toshiya Shimizu, Inderjeet Singh, Oren Rachmil, Alon Zolfi, Asaf Shabtai, Yuki Unno, Hisashi Kojima

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Additive Class Distinction Maps using Branched-GANs.

Elnatan Kadar, Jonathan Brokman, Guy Gilboa

CoRR, 2023

2022

Analysis of Branch Specialization and its Application in Image Decomposition.

Jonathan Brokman, Guy Gilboa

CoRR, 2022

2021

Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows.

Jonathan Brokman, Guy Gilboa

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021