Ibrahim Khalil

ORCID: 0009-0002-8995-1058
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About
Contact & Profiles
Research Areas
  • Genetic and Kidney Cyst Diseases
  • Glioma Diagnosis and Treatment
  • Pituitary Gland Disorders and Treatments
  • Cerebrovascular and Carotid Artery Diseases
  • Adrenal and Paraganglionic Tumors
  • Cardiovascular Syncope and Autonomic Disorders
  • Neural Networks and Applications
  • Analog and Mixed-Signal Circuit Design
  • Acute Ischemic Stroke Management
  • Renal and related cancers
  • Retinal and Optic Conditions
  • Biomedical Research and Pathophysiology
  • Infectious Diseases and Tuberculosis
  • Ocular Diseases and Behçet’s Syndrome

Dhaka Medical College and Hospital
2024-2025

The right to be forgotten mandates that machine learning models enable the erasure of a data owner's and information from trained model. Removing dataset alone is inadequate, as can memorize training data, increasing potential privacy risk users. To address this, multiple unlearning techniques have been developed deployed. Among them, approximate popular solution, but recent studies report its effectiveness not fully guaranteed. Another approach, exact unlearning, tackles this issue by...

10.48550/arxiv.2410.10128 preprint EN arXiv (Cornell University) 2024-10-13
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