The Translucent Patch: A Physical and Universal Attack on Object Detectors. - Alon Zolfi; Moshe Kravchik; Yuval Elovici; Asaf Shabtai (CVPR, 2021)

Adversarial Mask: Real-World Adversarial Attack Against Face Recognition Models. - Alon Zolfi; Shai Avidan; Yuval Elovici; Asaf Shabtai (CoRR, 2021)

Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Models. - Alon Zolfi; Shai Avidan; Yuval Elovici; Asaf Shabtai (ECML/PKDD (3), 2022)

Denial-of-Service Attack on Object Detection Model Using Universal Adversarial Perturbation. - Avishag Shapira; Alon Zolfi; Luca Demetrio; Battista Biggio; Asaf Shabtai (CoRR, 2022)

Attacking Object Detector Using A Universal Targeted Label-Switch Patch. - Avishag Shapira; Ron Bitton; Dan Avraham; Alon Zolfi; Yuval Elovici; Asaf Shabtai (CoRR, 2022)

YolOOD: Utilizing Object Detection Concepts for Out-of-Distribution Detection. - Alon Zolfi; Guy Amit; Amit Baras; Satoru Koda; Ikuya Morikawa; Yuval Elovici; Asaf Shabtai (CoRR, 2022)

Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey. - Satoru Koda; Alon Zolfi; Edita Grolman; Asaf Shabtai; Ikuya Morikawa; Yuval Elovici (IJCNN, 2023)

Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors. - Avishag Shapira; Alon Zolfi; Luca Demetrio; Battista Biggio; Asaf Shabtai (WACV, 2023)

QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers. - Amit Baras; Alon Zolfi; Yuval Elovici; Asaf Shabtai (CoRR, 2023)

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)

YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection. - Alon Zolfi; Guy Amit; Amit Baras; Satoru Koda; Ikuya Morikawa; Yuval Elovici; Asaf Shabtai (CVPR, 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)

Universal Adversarial Attack Against Speaker Recognition Models. - Shoham Hanina; Alon Zolfi; Yuval Elovici; Asaf Shabtai (ICASSP, 2024)

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms. - Oryan Yehezkel; Alon Zolfi; Amit Baras; Yuval Elovici; Asaf Shabtai (NeurIPS, 2024)

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers. - Oryan Yehezkel; Alon Zolfi; Amit Baras; Yuval Elovici; Asaf Shabtai (CoRR, 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)

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)

QuantAttack: Exploiting Quantization Techniques to Attack Vision Transformers. - Amit Baras; Alon Zolfi; Yuval Elovici; Asaf Shabtai (WACV, 2025)