Shabtai, Asaf

18 publications

AAAI 2025 DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation Tom Segal, Asaf Shabtai, Yuval Elovici

WACV 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

ICML 2025 Gradient Inversion of Multimodal Models Omri Ben Hemo, Alon Zolfi, Oryan Yehezkel, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Yuval Elovici, Asaf Shabtai

AAAI 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

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

MLJ 2025 Toward Practical Human-Interpretable Explanations Alon Malach, Amiel Meiseles, Ron Bitton, Satoru Momiyama, Toshinori Araki, Jun Furukawa, Yuval Elovici, Asaf Shabtai

CVPR 2025 Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models Daniel Samira, Edan Habler, Yuval Elovici, Asaf Shabtai

ECCV 2024 AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems Roye Katzav, Amit Giloni, Edita Grolman, Hiroo Saito, Tomoyuki Shibata, Tsukasa Omino, Misaki Komatsu, Yoshikazu Hanatani, Yuval Elovici, Asaf Shabtai

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

MLJ 2024 Improving Interpretability via Regularization of Neural Activation Sensitivity Ofir Moshe, Gil Fidel, Ron Bitton, Asaf Shabtai

ECCV 2024 MONTAGE: 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

MLJ 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

CVPR 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

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

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

WACV 2022 Fair and Accurate Age Prediction Using Distribution Aware Data Curation and Augmentation Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici

ECML-PKDD 2021 Taking over the Stock Market: Adversarial Perturbations Against Algorithmic Traders Elior Nehemya, Yael Mathov, Asaf Shabtai, Yuval Elovici

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