12:00pm - 1:00pm
EB T1
Title: Efficient Quantum Entanglement Distribution
Abstract:
Quantum computing has shown capabilities far beyond traditional computing paradigms
and has great potential to be the next scientific breakthrough propelling scientific and
economic developments for society in the near future. A quantum processor's
computing power increases with its number of qubits, but single processors are not yet
capable of large-scale tasks. To overcome this, quantum processors are linked together
with classical and quantum connections, creating a system that allows for virtual
quantum machines through entanglement of processors, enhancing computing power.
However, entangling processors is challenging due to decreasing success rates with
increased separation, limiting direct connections among distant processors. In this talk, I
will introduce novel entanglement protocols that harness the distinct features of different
quantum measurement techniques. The proposed protocols provide a leap forward in
quantum entanglement efficiency and lay the foundation to construct practical quantum
computing systems for various quantum applications.
A bio:
Yiming Zeng is an assistant professor in the School of Computing at Binghamton
University. He received the PhD degree from Stony Brook university, advised by Prof.
Yuanyuan Yang the B. Eng degree from Shanghai Jiao Tong University. His research
interests focus on quantum networking and computing. His paper about multi-user
entanglement received the distinguished paper award of ICDCS 2024.
12:00pm - 1:00pm
EB T01
Presenter: Shengdun Wang
Advisor: Professor Aravind Prakash
When: Monday, November 25, Noon
Where: EB T01
Title: WebAssembly Memory Tagging
Abstract: WebAssembly has become increasingly popular in web development, offering a versatile and efficient platform for executing code in languages beyond JavaScript, such as C and C++. However, WebAssembly's flat memory model exposes memory-safety vulnerabilities. While C and C++ code are primarily susceptible to memory safety issues, Rust, though improved, still presents vulnerabilities. Inspired by the ARM Memory Tagging Extension, we propose a memory tagging solution for WebAssembly. Our evaluation indicates that the proposed memory tagging mechanism introduces average memory overheads of 48.91% and 72.38% for 64-bit and 32-bit WebAssembly, respectively. Additionally, we compare our WebAssembly memory tagging to the host Address Sanitizer to demonstrate the efficacy of our approach. Finally, we conduct a case study on real-world CVEs to demonstrate the impact of our work.
Bio:
Advisor: Professor Aravind Prakash
When: Monday, November 25, Noon
Where: EB T01
Title: WebAssembly Memory Tagging
Abstract: WebAssembly has become increasingly popular in web development, offering a versatile and efficient platform for executing code in languages beyond JavaScript, such as C and C++. However, WebAssembly's flat memory model exposes memory-safety vulnerabilities. While C and C++ code are primarily susceptible to memory safety issues, Rust, though improved, still presents vulnerabilities. Inspired by the ARM Memory Tagging Extension, we propose a memory tagging solution for WebAssembly. Our evaluation indicates that the proposed memory tagging mechanism introduces average memory overheads of 48.91% and 72.38% for 64-bit and 32-bit WebAssembly, respectively. Additionally, we compare our WebAssembly memory tagging to the host Address Sanitizer to demonstrate the efficacy of our approach. Finally, we conduct a case study on real-world CVEs to demonstrate the impact of our work.
Bio:
Shengdun Wang is a Ph.D. student in the School of Computing the Binghamton University under the supervision of Professor Aravind Prakash. His research focuses on C++-related security defense and UI analysis. He has extensive experience with C++ and is the author of the freestanding C++ library, fast_io. Additionally, he has maintained World of Warcraft AddOns. Recently, he has been concentrating on LLVM-related projects.
2:00pm - 4:00pm
EB T01
Presenter: Shengdun Wang
Advisor: Aravind Prakash
When: Thursday, November 28, 2pm
Where: EB T01
Title: C++ Related Security Hardenings and UI Analysis
Abstract: Welcome to my presentation. Today, I will be sharing the results of my research journey. We'll explore the major milestones, delve into the intricate details of my findings, and discuss the implications of this work. I'll dive into our three key areas: leveraging the power of a fast and feature-rich I/O system, conducting Win32 UI analysis, and exploring WebAssembly Memory Tagging.
Thank you for your attention, and I look forward to our discussion!
5:30pm - 8:30pm
This year, we're excited to host our (mostly) annual Holiday Party at Traditions at the Glen! You and your family are warmly invited to join us for an evening of dinner and great company on Thursday, December 5, 2024, from 5:30 to 8:30 pm. The venue is located at 4101 Watson Blvd, Johnson City, NY 13790.
Feel free to bring an instrument, your singing voice, or any special talent you'd like to share with your friends and colleagues. There will be children's entertainment, and we’re thrilled to have our favorite balloon artist, Jerry, returning this year! A cash bar will also be available for beverages.
We look forward to celebrating with you!
