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海角视频 of Computer Science announces promotion of five faculty members

The 海角视频 of Computer Science is pleased to announce the promotions of the following faculty members, effective July 1, 2025:

  • promoted to the rank of Associate Professor with tenure

  • promoted to the rank of Associate Professor with tenure

  • promoted to the rank of Associate Professor with tenure

  • promoted to the rank of Associate Professor with tenure

  • promoted to the rank of full Professor

University of Toronto team discovers vulnerability at hardware-software boundary in cloud systems

From left to right: David Lie, director of the Schwartz Reisman Institute, Gururaj Saileshwar, assistant professor in the 海角视频 of Computer Science, and Yuqin Yan, a student at the 海角视频 of Electrical & Computer Engineering, discovered a security flaw in AMD鈥檚 cloud protection technology, revealing how interactions between hardware and software can expose sensitive data. (Photos: provided)

Cloud computing has become an essential part of our everyday lives, both personally and professionally. Whether it鈥檚 storing family photos, running a business or training cutting-edge AI models, we rely on remote servers to keep our data safe and secure and trust that it won鈥檛 be modified in any way.

Although storing information in the cloud exposes data to potential risks, hardware vendors like AMD mitigate these risks by collaborating with major cloud providers such as Amazon Web Services (AWS), Google Cloud and Microsoft Azure, to provide hardware-level protection that is meant to keep data secure and confidential even if the cloud provider experiences a security breach.

However, a team of University of Toronto researchers led by , director of the Schwartz Reisman Institute (SRI) and , assistant professor in the 海角视频 of Computer Science, and executed by , a student at the 海角视频 of Electrical & Computer Engineering (ECE), found a flaw in these systems. They discovered that the complex interactions between the software that the cloud providers run, and the hardware-level protection, leads to new security challenges and vulnerabilities.

鈥淯nlike most security vulnerabilities that are found in either the hardware or the software, what sets this discovery apart is that it was found in the interplay between the software and AMD鈥檚 hardware鈥 said Lie, who is cross-appointed to the 海角视频 of Computer Science. 鈥淚n this case, it was found when the hypervisor and central processing unit (CPU) interacted.鈥

We can think of a hypervisor as the 鈥渧irtual landlord鈥 of AMD鈥檚 chips. It is software that 鈥渞ents鈥 out computing resources, such as memory, to the cloud customer 鈥渢enants鈥 allowing various customer workloads to run securely, independently and confidentially on its CPU.

AMD鈥檚 confidential computing technology is designed to protect such tenants in the event that the landlord is controlled by a malicious entity; in other words, if it is hacked. It encrypts data in a way that depends on its location within memory, so if the same data is stored in two places, it is encrypted completely differently. That makes it difficult for the hypervisor to know anything about the data or track it across locations, increasing the security of the data.

鈥淭he system lets the hypervisor move data around to manage memory efficiently,鈥 explained Lie. 鈥淪o when data is relocated, AMD鈥檚 hardware decrypts it from the old location and re-encrypts it for the new location. But, what we found was that by doing this over and over again, a can learn recurring patterns from within the data, which could lead to privacy breaches.鈥

Vulnerabilities like this have the potential to affect people and organizations alike.

鈥淭hese are the kinds of unexpected consequences that come from the complexity of modern systems,鈥 said Saileshwar. 鈥淭he attack we discovered, which we call Relocate-Vote, shows how that complexity, especially at the boundary between secure hardware and untrusted software, can lead to serious vulnerabilities.鈥

The majority of the research was performed by ECE student Yuqin Yan. It also included now-graduated ECE student , ECE and SRI Postdoctoral Fellow , and UBC faculty member .

鈥淥ur role in academia is to identify vulnerabilities in real systems,鈥 said Saileshwar. 鈥淚 am proud of the work our team did. We are pleased that Yuqin was able to present this paper at the in Seattle, Washington.鈥

Going forward, Saileshwar notes that the consequences of hardware security are only going to grow and affect more organizations over time.

鈥淎s we move more of our data to the cloud, hardware security is becoming more important than ever,鈥 said Saileshwar. 鈥淗ardware is becoming more complex, it鈥檚 adding more features all the time, and we鈥檙e relying on its security features even more. We鈥檙e placing a lot of trust in hardware, making the research our team is doing at the University of Toronto into hardware security issues more impactful than ever.鈥

For more information about Relocate-Vote, please visit the .

by Andrea Wiseman for the Schwartz Reisman Institute

U of T CS faculty earn Ontario Early Researcher Awards for work in AI and imaging

Two U of T computer scientists have received provincial recognition for research that advances sustainable AI and next-generation imaging systems.

U of T researchers find GPU vulnerability with 鈥榗atastrophic鈥 effects on AI model accuracy

Researchers at the University of Toronto discovered a serious security risk in graphics cards (GPUs), which are now widely used to run artificial intelligence (AI) systems.

Al谩n Aspuru-Guzik honoured with Heinrich Emanuel Merck Award for Computational Sciences

The was awarded to on June 28, 2025, recognizing groundbreaking innovation in computational sciences.

Al谩n Aspuru-Guzik talks about chemistry and data technology in Lindau at the HEM Awards presentation.

Al谩n Aspuru-Guzik talks about the interplay of chemistry and information in Lindau. (photo: supplied)

According to a press release from the science and technology company Merck, the award honours 鈥渆xtraordinary contributions in the integration of advanced computational methods with scientific discovery.鈥 It celebrates current innovators in tribute to namesake Heinrich Emanuel Merck鈥檚 legacy of scientific curiosity and innovation.

Aspuru-Guzik is jointly appointed as Professor at the 海角视频 of Chemistry and the 海角视频 of Computer Science. Receiving the prize in Lindau, Switzerland, he said, 鈥淢y research interests are in areas that are poised to disrupt the chemical sciences. We have pioneered algorithms for near-term quantum computers, artificial intelligence and robotics for new materials. Recently, we have focused strongly on AI agents that do science.鈥

鈥淩eceiving the Heinrich Emanuel Merck Award is a testament to the exceptionally talented, motivated and collaborative Matter Lab research group that we have assembled at the University of Toronto.鈥

Laura Matz, chief science and technology officer at Merck, also spoke of cooperation and collaboration, 鈥淭oday we celebrate not just individual achievement, but a vision for a future where scientific breakthroughs transform lives and create new pathways for innovation.鈥

Aspuru-Guzik was lauded at the event as 鈥渁 leading researcher, at the intersection of quantum information, quantum computing, artificial intelligence, automation and chemistry, dedicated to accelerating scientific discovery and finding novel materials.鈥

鈥淗is work includes utilizing generative machine learning to optimize wave functions for quantum simulations,鈥 read the press release. 鈥淎dditionally, he has made significant contributions in creating self-driving laboratories (SDLs) that leverage Al and automation.鈥

鈥檚 innovative work, it noted, includes integrating quantum components into drug discovery pipelines, showcasing the potential of hybrid quantum-classical systems in generating viable drug candidates.

Aspuru-Guzik delivered a talk at the Lindau award ceremony, entitled, 鈥淭he materials for tomorrow, today.鈥 In it, he argued that the interplay between chemistry and information started four billion years ago and continues evolving thanks to the availability of AI algorithms. "Eventually they become autonomous research scientists."

鈥 Original story by Alyx Dellamonica for the

U of T computer scientists highlighted in BetaKit's 'Most Ambitious' issue

(Photo: Matthew Volpe)

More than two dozen startups and entrepreneurs from the University of Toronto community are recognized in first .

The online tech publication鈥檚 special issue aims to spotlight the 鈥渂ig swings鈥 taken in tech and innovation in Canada.

Of the 85 tech players mentioned in the issue, nearly one third have a connection to U of T.

Among the people and companies recognized with ties to the 海角视频 of Computer Science are:

  • , the autonomous trucking company founded by Professor

  • , the enterprise AI company launched by alumni Nick Frosst and Aidan Gomez; and former computer science student Ivan Zhang

  • Associate Professor , founding member of

  • Alumnus and Ilya Sutskever, co-founder of , and more recently,

鈥淭his list demonstrates just how integral U of T-affiliated companies are to Canada鈥檚 innovation landscape in crucial fields ranging from sustainability and space tech to health care and transportation,鈥 says Leah Cowen, vice-president, research and innovation, and strategic initiatives.

鈥淭he university has long been committed to generating big ideas and game-changing research 鈥 and then providing the support necessary for ambitious entrepreneurs to move those discoveries out of the lab and into the world where they can have the most impact.鈥

With files from

A family affAIr: Three siblings 鈥 now U of T grads 鈥 use artificial intelligence to make a difference

Three siblings, all recent University of Toronto computer science graduates, are harnessing the power of artificial intelligence to drive innovation in health care, equity and global development.

Faith Ellen honoured with Lifetime Achievement Award by CS-Can | Info-Can

Professor Faith Ellen has been honoured with a 2024 Lifetime Achievement Award from CS-Can | Info-Can for her outstanding contributions to computer science.