Jonathan Brokman

17 papers A* 2A 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — conf
MAPS: A Multilingual Benchmark for Agent Performance and Security.
EACL (Findings)
Omer Hofman, Jonathan Brokman, Oren Rachmil, Shamik Bose, Vikas Pahuja, Toshiya Shimizu, Trisha Starostina, Kelly Marchisio, Seraphina Goldfarb-Tarrant, Roman Vainshtein
2025 — conf
Identifying Memorization of Diffusion Models Through p-Laplace Analysis.
SSVM (1)
Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa
2025 J jnl
Identifying Memorization of Diffusion Models through p-Laplace Analysis.
CoRR
Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa
2025 — conf
Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis.
RAIE
Jonathan Brokman, Omer Hofman, Oren Rachmil, Inderjeet Singh, Vikas Pahuja, Rathina Sabapathy, Aishvariya Priya, Amit Giloni, Roman Vainshtein, Hisashi Kojima
2025 J jnl
MAPS: A Multilingual Benchmark for Global Agent Performance and Security.
CoRR
Omer Hofman, Oren Rachmil, Shamik Bose, Vikas Pahuja, Jonathan Brokman, Toshiya Shimizu, Trisha Starostina, Kelly Marchisio, Seraphina Goldfarb-Tarrant, Roman Vainshtein
2025 A* conf
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images.
ICLR
Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa
2025 J jnl
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images.
CoRR
Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa
2024 A conf
ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search.
BMVC
Inderjeet Singh, Roman Vainshtein, Alon Zolfi, Asaf Shabtai, Tu Bui, Jonathan Brokman, Omer Hofman, Fumiyoshi Kasahara, Kentaro Tsuji, Hisashi Kojima
2024 A* conf
Enhancing Neural Training via a Correlated Dynamics Model.
ICLR
Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
2024 J jnl
Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis.
CoRR
Jonathan Brokman, Omer Hofman, Oren Rachmil, Inderjeet Singh, Rathina Sabapathy, Aishvariya Priya, Vikas Pahuja, Amit Giloni, Roman Vainshtein, Hisashi Kojima
2024 — conf
MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models.
ECCV (75)
Jonathan Brokman, Omer Hofman, Roman Vainshtein, Amit Giloni, Toshiya Shimizu, Inderjeet Singh, Oren Rachmil, Alon Zolfi, Asaf Shabtai, Yuki Unno, Hisashi Kojima
2024 J jnl
Spectral Total-variation Processing of Shapes - Theory and Applications.
ACM Trans. Graph.
Jonathan Brokman, Martin Burger, Guy Gilboa
2023 J jnl
Additive Class Distinction Maps using Branched-GANs.
CoRR
Elnatan Kadar, Jonathan Brokman, Guy Gilboa
2023 J jnl
Enhancing Neural Training via a Correlated Dynamics Model.
CoRR
Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
2022 J jnl
Analysis of Branch Specialization and its Application in Image Decomposition.
CoRR
Jonathan Brokman, Guy Gilboa
2022 J jnl
Spectral Total-Variation Processing of Shapes - Theory and Applications.
CoRR
Jonathan Brokman, Martin Burger, Guy Gilboa
2021 — conf
Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows.
SSVM
Jonathan Brokman, Guy Gilboa