Cryptography Enabled Data Science: Meeting the Demands of Data Driven Enterprises
How can cryptography and data science work together for business value? Duality’s VP of Data Science, Dr. Marcelo Blatt, and VP of Strategy, Ronen Cohen
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How can cryptography and data science work together for business value? Duality’s VP of Data Science, Dr. Marcelo Blatt, and VP of Strategy, Ronen Cohen
Dr. Alon Kaufman, CEO and Co-founder of Duality Technologies, describes his path to PETs and the Duality story. What led you to founding Duality? [Alon
The PETs landscape continues to expand. I witnessed this in early April at the PETs Summit in Zurich, and I experienced that expansion again in
Two Duality Technologies co-founders, Rina Shainski and Shafi Goldwasser, recently met to discuss cryptography. A two-time Gödel Prize and Turing Award winner, Goldwasser tells of
Privacy Preserving Machine Learning (PPML) is a technique to prevent data leakage in machine learning algorithms. PPML employs many privacy-enhancing strategies to allow multiple input
The following is an interview with Nishant Bhajaria, privacy author and Director of Data Privacy Engineering at Uber. Answers have been edited slightly for clarity.
How can cryptography and data science work together for business value? Duality’s VP of Data Science, Dr. Marcelo Blatt, and VP of Strategy, Ronen Cohen
Dr. Alon Kaufman, CEO and Co-founder of Duality Technologies, describes his path to PETs and the Duality story. What led you to founding Duality? [Alon
The PETs landscape continues to expand. I witnessed this in early April at the PETs Summit in Zurich, and I experienced that expansion again in
Two Duality Technologies co-founders, Rina Shainski and Shafi Goldwasser, recently met to discuss cryptography. A two-time Gödel Prize and Turing Award winner, Goldwasser tells of
Privacy Preserving Machine Learning (PPML) is a technique to prevent data leakage in machine learning algorithms. PPML employs many privacy-enhancing strategies to allow multiple input
The following is an interview with Nishant Bhajaria, privacy author and Director of Data Privacy Engineering at Uber. Answers have been edited slightly for clarity.
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