Students

• Eyal Heiman
  Deterministic Matrix Completion.
  Thesis, 2009.
  
• Amit Leibovitz
  The Dimension Effect on Adversarial Learning Phenomena.
  Thesis, 2020.
  [Proposal] [Thesis] [Presentation]
  
• Kfir Grame
  The impact of network architecture, training process and parameters on an adversarial attack.
  Thesis, 2020.
  
• Maxim Rubchinsky
  Automatic Extraction of Risk Factors from Medical Databases.
  Thesis, 2020.
  
• Raz Saroya
  Generating HP Mosaic Seeds Using Generative Adversarial Network.
  Project, 2021.
  [GitHub Repository with dataset and code] [Proposal] [Thesis] [Presentation]
  
• Mor Chako
  Predicting the severity of the coronary artery disease with machine learning.
  Thesis, 2021.
  
• Asaf Rachmani
  Detecting URL Phishing Attack by Machine Learning.
  Thesis, 2021.
  
• Sahar Goelman
  Is the future of Automation Testing an AI based Application?
  Thesis, 2022.
  
• Sapir Zeelon
  Explaining Machine Learning Skin Cancer Detection Model Using Different Explainable AI Methods.
  Thesis, 2022.