Speaker: Hanqing Guo

Date: Jan 17, 11:45am–12:45pm

Abstract: Voice, as a primary way for people to communicate with each other and interact with computers/smart devices, is expected to be secure and private when people use it. However, recent studies demonstrated the vulnerabilities of using voice to talk with people; conduct speaker authentication and deliver messages to smart devices. For example, the eavesdropper can record the conversation; the adversary can playback the speaker’s sound to attack the speaker authentication model; the hacker can craft fake speech to damage the reputation of the victim or launch impersonation scam; furthermore, the attacker can perform an adversarial voice attack to control the victim’s smart devices. This talk aims to understand the root cause of the vulnerabilities, address the challenges of achieving private and secure voice communication, and explore future directions to completely resolve the security concerns of the AI-enabled voice models and systems.

Biographical Sketch: Hanqing Guo is a Ph.D. Candidate at the Michigan State University. His research interests include cybersecurity, trustworthy AI, and mobile systems. His work has been published at top conferences such as ACM CCS, NDSS, AsiaCCS, ICLR, SenSys, and Mobicom, and has been widely reported by media such as ACM TechNews, New Scientist, BBC Radio, Forbes, Science Daily, etc.

Location and Zoom link: 307 Love, or https://fsu.zoom.us/j/8506451562?omn=94680443109