ملف الباحث
Fatemehsadat Mireshghallah
ورقتان في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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When Differential Privacy Meets Interpretability: A Case Study
2021 · arXiv (Cornell University)
Given the increase in the use of personal data for training Deep Neural Networks (DNNs) in tasks such as medical imaging and diagnosis, differentially private training of DNNs is surging in importance and there is …
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Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
2022
The wide adoption and application of Masked language models (MLMs) on sensitive data (from legal to medical) necessitates a thorough quantitative investigation into their privacy vulnerabilities. Prior attempts at measuring leakage of MLMs via membership …