Ben Nassi

Dr. Ben Nassi is a postdoctoral researcher at Cornell Tech. He is interested in building robust systems and investigates the security and privacy of cyber-physical systems and hardware/devices in the topics of side-channel attacks and AI security using signal processing and machine learning techniques. His research has been presented at top academic conferences, published in journals and Magazines, and covered by international media. Ben has spoken at prestigious industrial conferences (Black Hat Asia and USA, RSAC USA, AI Week, CodeBlue, SecTor, and CyberTech) and he serves as a PC member in ACM CCS (22 and 23) and BlackHat Asia (22 and 23). His research entitled him to two nominations for the Pwnie Award.

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