There are several research opportunities for students to join the SPQR Lab at Michigan! The opportunities range from cyber-physical security research to medical device security. We are interested in working with students who share a commitment to our values.

We are especially looking for people with interest and excitement in any of the following areas: If you have further questions about opportunities, reach out to spqr-team@umich.edu. We especially encourage women and underrepresented minorities to apply!

Ph.D. and Masters Students

The link to apply for graduate school is here:

Graduate School Application


We have mentored many successful undergraduate researchers in the past. We tend to recruit new students at the beginning of each semester. If you are interested in the working in our lab contact us at spqr-team@umich.edu a few weeks before the beginning of a new semester. Please do browse our recent research papers as preparation.

Recent Projects

Light Commands Figure

Light Commands

Light Commands is a vulnerability of MEMS microphones that allows attackers to remotely inject inaudible and invisible commands into voice assistants, such as Google assistant, Amazon Alexa, Facebook Portal, and Apple Siri using light. In our paper we demonstrate this effect, successfully using light to inject malicious commands into several voice controlled devices such as smart speakers, tablets, and phones across large distances and through glass windows.

Poltergeist Figure

Side Eye: Extract Sound from Muted Videos

Side Eye is a technique that allows adversaries to extract acoustic information from a stream of camera photos. When sound energy vibrates the smartphone body, it shakes camera lenses and creates tiny Point-of-View (POV) variations in the camera images. Adversaries can thus infer the sound information by analyzing the image POV variations. Side Eye enables a family of sensor-based side channel attacks targeting acoustic eavesdropping even when smartphone microphone is disabled.

Poltergeist Figure

Poltergeist: Manipulating Computer Vision Systems with Acoustics and Motion

As cameras become increasingly pervasive, the security and privacy of computer vision systems is a focus of SPQR's research. Our work explores how different physical processes such as acoustics and motion are captured and interpreted by cameras, and how malicious parties may exploit these effects to intentionally adulterate vision systems’ output or exfiltrate sensitive information from it. Our recent research shows acoustic injections into cameras may cause accidents to autonomous vehicles.

Student Testimonials