Omer Hofman

According to our database, Omer Hofman authored at least 11 papers between 2024 and 2025.

Collaborative distances:

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

2025

MAPS: A Multilingual Benchmark for Global Agent Performance and Security.

Omer Hofman, Oren Rachmil, Shamik Bose, Vikas Pahuja, Jonathan Brokman, Toshiya Shimizu, Trisha Starostina, Kelly Marchisio, Seraphina Goldfarb-Tarrant, Roman Vainshtein

CoRR, May, 2025

DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection.

Amit Giloni, Omer Hofman, Ikuya Morikawa, Toshiya Shimizu, Yuval Elovici, Asaf Shabtai

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Identifying Memorization of Diffusion Models Through p-Laplace Analysis.

Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa

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.

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

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.

Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DIESEL: A Lightweight Inference-Time Safety Enhancement for Language Models.

Ben Ganon, Alon Zolfi, Omer Hofman, Inderjeet Singh, Hisashi Kojima, Yuval Elovici, Asaf Shabtai

Proceedings of the Findings of the Association for Computational Linguistics, 2025

KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models.

Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev, Amit Giloni, Omer Hofman, Toshiya Shimizu, Asaf Shabtai, Yuval Elovici

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

X-Detect: explainable adversarial patch detection for object detectors in retail.

Omer Hofman, Amit Giloni, Yarin Hayun, Ikuya Morikawa, Toshiya Shimizu, Yuval Elovici, Asaf Shabtai

Mach. Learn., September, 2024

DIESEL - Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs.

Ben Ganon, Alon Zolfi, Omer Hofman, Inderjeet Singh, Hisashi Kojima, Yuval Elovici, Asaf Shabtai

CoRR, 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

ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search.

Inderjeet Singh, Roman Vainshtein, Alon Zolfi, Asaf Shabtai, Tu Bui, Jonathan Brokman, Omer Hofman, Fumiyoshi Kasahara, Kentaro Tsuji, Hisashi Kojima

Proceedings of the 35th British Machine Vision Conference, 2024