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A. M. Sadeghzadeh

Sharif University of Technology

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#natural language process... Open access Sep 2026

PersianAnonymizer: Evaluating LLM-Labeled Training for Efficient NER-based Anonymization in Persian

Results show that supervision from OSS_ZeroShot yields the strongest macro-F1 and LCR, while the resulting NER labels an entire 40K-message test set in approximately 2 minutes on one consumer GPU, establishing a practical path to high-quality, low-cost anonymization for Persian industrial data.

Mohammad Hossein Shalchian, Mostafa Amiri, A. M. Sadeghzadeh · 0 citations
Jul 2026

Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks

Machine learning models are increasingly adapted in various domains. However, adversarial examples pose a significant threat to the reliable deployment of these models. In recent years, some powerful adversarial example attacks have been proposed for the fast and query-efficient generation of adversarial examples, even...

Hamid Dashtbani, Mehdi Dousti Gandomani, A. M. Sadeghzadeh · 0 citations

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