PQC seminar # 17 (Tuesday 2024-August-06, 10am EDT)
Bros, Maxime P. (IntlAssoc)
Dear all,
I hope you're having a nice summer.
I'm happy to announce NIST PQC Seminars # 17 which will happen at 10 a.m. US EDT (Eastern Daylight Time, Washington D.C., UTC-4) on Tuesday August 6th, 2024. Please find more details below.
Please find the Zoom invitation below this email, alternatively you can click the talk's name on the NIST PQC Seminar website:
https://csrc.nist.gov/projects/post-quantum-cryptography/workshops-and-timeline/pqc-seminars
Be careful, the links / meeting ID or passcode sometimes change and sometimes remain the same from one seminar to another, so always double check on the website before connecting.
Sincerely,
Dr. Maxime Bros
NIST PQC Team
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### Title ###
Benchmarking LWE Attacks
### Abstract ###
Given the importance of LWE-based cryptosystems, understanding their concrete security is critical. Most work on LWE security focuses on theoretical estimates of attack performance, which is important but may overlook attack nuances arising in real-world implementations. To improve our understanding of concrete LWE security, we provide the first benchmarks for LWE secret recovery on standardized parameters, for small and low-weight (sparse) secrets. We evaluate four LWE attacks in these settings to serve as a baseline: the Search-LWE attacks uSVP, SALSA, and Cool\&Cruel, and the Decision-LWE attack: Dual Hybrid Meet-in-the-Middle (MitM). We extend the SALSA and Cool\&Cruel attacks in significant ways, and implement and scale up MitM attacks for the first time. For example, we recover hamming weight $9-11$ binomial secrets for KYBER ($\kappa=2$) parameters in $28-36$ hours with SALSA and Cool\&Cruel. This talk will discuss our benchmarking efforts and attack innovations, as well as interesting lessons learned in the implementation process.
### Speaker and Affiliation ###
Dr. Emily Wenger, Duke University and Meta AI, USA
### Mini bios ###
Dr. Wenger researches security and privacy issues related to machine learning models. Currently, she is an Assistant Professor of Electrical and Computer Engineering at Duke University, and before that was a Research Scientist at Meta AI. She graduated with her PhD from the University of Chicago in 2023. Dr. Wenger's work has been featured by numerous media outlets including CNN, NBC, the New York Times, and the BBC. She has received various awards including a GFSD fellowship, Siebel Scholarship, and the University of Chicago Harper Dissertation award, and was named to the 2024 Forbes 30 under 30 list for her work on Glaze, a tool that protects artists' work from unwanted use in generative AI models.
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Meeting ID: 161 2780 3271
Passcode: 425053
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Meeting ID: 161 2780 3271
Passcode: 425053