Throughout the summer of 2020, we had ten Undergraduate Interns who worked on various projects. This session is for them to present their work.View their posters
We at the SPQR lab assert that Black lives matter. We stand with the Black community, including all those who are Black, African American, or members of the larger African Diaspora. We categorically reject racism, hate, violence, and inequity and harassment in any form.
The SPQR Lab is committed to provide a safe and equitable environment, to create and maintain a culture of support and inclusion, and to celebrate and use our differences to improve Science. #blacklivesmatter.
The SPQR Lab Team
The SPQR Group at the University of Michigan works broadly on research problems pertaining to embedded security. We explore the research frontiers of computer science, electrical and computer engineering, and healthcare. Our latest projects examine how to protect analog sensors from intentional electromagnetic, acoustic interference, and light injection.
It's extremely important for the global health to ensure that front-line healthcare workers have access to a supply of N95 masks while caring for COVID-19 patients. A global shortage of N95 respirator masks has led to the emergency construction of various decontamination systems for reuse of disposable masks worn by healthcare workers. Any decontamination must protect against damage to the masks' filter performance...
Over the last six years, several papers demonstrated how intentional analog interference based on acoustics, RF, lasers, and other physical modalities could induce faults, influence, or even control the output of sensors. Damage to the availability and integrity of sensor output carries significant risks to safety-critical systems that make automated decisions based on trusted sensor measurement. Established signal processing models use transfer functions to express...
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.