Michigan Engineering | University of Michigan The new system is designed to save security researchers time and effort spent reverse-engineering the message format of every vehicle they study.
Offensive vehicle security toolbox makes car hacking easier
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New tool combats evolving internet censorship methods
Technology pioneered by Michigan researchers can circumvent many effective website blocking tools
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Michigan AI celebrates second annual symposium
The goal of the symposium is to facilitate conversations between AI practitioners from Michigan and beyond.
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Year of vulnerability hunting uncovers potential attacks on Intel Chips, RAM
All three of these attacks put users’ privacy at risk, exploiting new routes to sensitive data.
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CSE faculty bring significant showing to major systems conference
Researchers designed three new systems to speed up code at several key bottlenecks.
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Five EECS faculty and alumni recognized for business success
Nominees were selected based on their career accomplishments, impact in their field, and contributions to their community.
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$2M NSF grant to explore data equity systems
Researchers plan to establish a framework for a national institute that would enable research using sensitive data, while preventing misuse and misinterpretation.
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$1M NSF grant supports new system for gathering, structuring data with ease
The team’s new tool will combine of software and data to make gathering structured data dramatically easier.
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Remote attack on temperature sensors threatens safety in incubators and industry
The researchers demonstrated that an adversary could remotely manipulate the temperature sensor measurements without tampering with the targeted system or triggering automatic temperature alarms.
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New attack on autonomous vehicle sensors creates fake obstacles
Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.