Asaf Shabtai

Venues

Frequent coauthors

Papers

1. ImpReSS: Designing and Evaluating a Lightweight Implicit Recommender System in Conversational Support Agents
   IUI 2026 ·

   Omri Haller

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2. CodeCloak: A Method for Mitigating Code Leakage by LLM Code Assistants
   ECAI 2025 ·

   Amit Finkman Noah

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3. DIESEL: A Lightweight Inference-Time Safety Enhancement for Language Models
   ACL 2025 ·

   Ben Ganon

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4. DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation
   AAAI 2025 ·

   Tom Segal

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5. DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection
   WACV 2025 ·

   Amit Giloni

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6. Gradient Inversion of Multimodal Models
   ICML 2025 ·

   Omri Ben Hemo

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7. KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models
   AAAI 2025 ·

   Yarin Yerushalmi Levi

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8. LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTI
   WWW 2025 ·

   Yuval Schwartz

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9. Multi-Feature Membership Analysis for Tabular Regression Models: Towards Data Sovereignty
   ECAI 2025 ·

   Yitschak Cahana

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10. QuantAttack: Exploiting Quantization Techniques to Attack Vision Transformers
    WACV 2025 ·

    Amit Baras

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11. Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack
    EMNLP 2025 ·

    Sagiv Antebi

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12. Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models
    CVPR 2025 ·

    Daniel Samira

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13. ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search
    BMVC 2024 ·

    Inderjeet Singh

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14. AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems
    ECCV 2024 ·

    Roye Katzav

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15. DataDetective: Dataset Watermarking for Leaker Identification in ML Training
    ECAI 2024 ·

    Noa Wegerhoff

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16. DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
    NeurIPS 2024 ·

    Oryan Yehezkel

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17. MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models
    ECCV 2024 ·

    Jonathan Brokman

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18. YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
    CVPR 2024 ·

    Alon Zolfi

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