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 (BMVC, 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 (ECCV (75), 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)

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., 2024)

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 (AAAI, 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 (ACL (Findings), 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 (ICLR, 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 (RAIE, 2025)

Identifying Memorization of Diffusion Models Through p-Laplace Analysis. - Jonathan Brokman; Amit Giloni; Omer Hofman; Roman Vainshtein; Hisashi Kojima; Guy Gilboa (SSVM (1), 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 (WACV, 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, 2025)