Update 2024fa.md

lsd-ucsc · Dec 3, 2024 · a8b5daf · a8b5daf
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@@ -27,7 +27,7 @@ Talks will be advertised on the [ucsc-lsd-seminar-announce](https://groups.googl
 | [Nov 8](#nov-8)       | Bhakti Shah                                                           | Proof Visualization for Graphical Structures |
 | [Nov 15](#nov-15)     | Federico Mora                                                         | Automated Reasoning About Distributed Systems |
 | [Nov 22](#nov-22)     | Haining Tong                                                          | Towards Unified Analysis of GPU Consistency |
-| [Dec 6](#dec-6)       | Yanan Guo                                                             | _TBD_ |
+| [Dec 6](#dec-6)       | Yanan Guo                                                             | Behind the Pixels: Unveiling GPU Hardware and Software Security Flaws |
 
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@@ -131,11 +131,13 @@ In this talk, I will present three automated reasoning techniques that can help
 
 **Speaker:** Yanan Guo
 
-**Title:** _TBD_
+**Title:** Behind the Pixels: Unveiling GPU Hardware and Software Security Flaws
 
-**Abstract:** _TBD_
+**Abstract:** Today's computing systems face significant security challenges. While security researchers have extensively studied CPU vulnerabilities, GPUs–an increasingly essential component of modern computing systems–have received much less attention. 
+In this talk, I will present two of my recent studies that help fill in this blank. In the first part, I will demonstrate how hardware designs in modern GPUs can enable practical and robust cache side channels. In the second part, I will discuss our findings on GPU memory management systems and their implications for GPU memory safety. Finally, I will briefly introduce countermeasures to these vulnerabilities and outline directions for future research in GPU security.
 
-**Bio:** _TBD_
+
+**Bio:** Yanan Guo joins us as an Assistant Professor. Her research interests lie in computer architecture and cybersecurity, with a goal of building secure, high-performance computing systems. Specifically, she studies microarchitectural side channels, memory exploitation, machine learning security, as well as GPU systems and architectures. She has multiple CPU/GPU side-channel attacks. Her study on prefetch-based side channels was nominated for the Top Picks in Hardware and Embedded Security 2023.
 
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