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Home/Authors/Mahshid Rezakhani

Mahshid Rezakhani

1 indexed paper

Recent (6 mo)
1
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Publications per year

1
26

Top categories

Crypto×1Architecture×1

Frequent co-authors

Nowfel Mashnoor1×
Kimia Azar1×
Hadi Kamali1×

Research Timeline

2026
SafeTune: Mitigating Data Poisoning in LLM Fine-Tuning for RTL Code Generation

SafeTune is a framework that enhances the robustness of LLMs fine-tuned for RTL code generation by detecting and mitigating data poisoning attacks, particularly those aiming to insert hardware Trojans.

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Papers

cs.CRcs.ARRecentApr 29, 2026

SafeTune: Mitigating Data Poisoning in LLM Fine-Tuning for RTL Code Generation

Mahshid Rezakhani, Nowfel Mashnoor, Kimia Azar, Hadi Kamali

SafeTune is a framework that enhances the robustness of LLMs fine-tuned for RTL code generation by detecting and mitigating data poisoning attacks, particularly those aiming to insert hardware Trojans…

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