Benoit Chevallier-Mames
Lead of Machine Learning, Zama
Benoit Chevallier-Mames is a security engineer and researcher and the head of machine learning at Zama. He has spent 20+ years between cryptographic research and secure implementations in a wide range of domains such as side-channel security, provable security, whitebox cryptography, and fully homomorphic encryption. Prior to Zama, he securely implemented public-key algorithms on smartcards in Gemplus for seven years, worked for the French governmental ANSSI agency for one year, and then designed and developed whitebox implementations at Apple for 12 years. Benoit has co-written 15+ peer-reviewed papers and is the co-author of 50+ patents. He holds a PhD from Ecole Normale Superieure / Paris University and a master's degree from CentraleSupelec.