I feel so lucky and grateful to be here at PKC (https://t.co/qbrFiJtnzx) and present the work I did with my two amazing collaborators Zvika Brakerski and Devika Sharma.
You can check our paper here: https://t.co/7Nz0DVCyhv
🗓️ Register for the next Meetup on Jan 25th 4PM CEST — we'll have Erin Hales, a final year PhD student at Royal Holloway, University of London presenting Designs for practical SHE schemes based on Ring-LWR. 🔗 https://t.co/ghCrACf5i3
#FHE#Cryptography
Exploring the power of large language models in #MalwareAnalysis! This insightful article delves into the use of cutting-edge AI, shedding light on how it enhances malware analysis #AI#Cybersecurity#TechReads https://t.co/HB2pF3qgpR
Remember our demo showing Encrypted Image Filtering Using Homomorphic Encryption on @huggingface ?
https://t.co/lyaqEynifK
Well, we built a new one 🤗🧵⤵️
My colleague Dacian Stroia has written an interesting blog post about one of the most widely used Homomorphic Encryption schemes, BGV. Go check it out here: 😉
https://t.co/DUYXpw0fuC
Curious about Private Set Intersection (PSI)? With my colleagues @molbozaur and Radu Titiu, we implemented in Python the PSI protocol described
here https://t.co/VW4Z2FSBKp. Check out our blogpost explaining some of the details behind our implementation!
https://t.co/ib4ab0YiIz
As we prepare for the possible assault of a future quantum computer, NIST has chosen the first group of tools for our post-quantum cryptographic standard:
🔒 CRYSTALS-Kyber
🔒 CRYSTALS-Dilithium
🔒 FALCON
🔒 Sphincs+
Learn more: https://t.co/9dXynKmZLO
Tired of training an AD model 🤖 just to be bitterly disappointed when it doesn't generalize well on new data?
Check out our proposed benchmark and analysis for doing AD under a distribution shift, w/ @dmarviss@ilarele, @HallerEmanuela & @MachineYearner 👇
@fortunedata1@Miruna_Rosca You can check at the end of our blog post (https://t.co/DmvPwF5MMl)
an explanation about our choice of the parameters for server_size = 2 ** 20 and client_size = 5535. If you have any other questions on this, we would be happy to answer.
@fortunedata1@Miruna_Rosca More precisely, for server_size = 2 ** 24 and client_size = 4000, with the current choice of sigma_max and plain_modulus, there is a high chance of finding distinct items x on the server side and y on the client side, but equal after applying Oblivious PRF.
In Episode 2 of our Cybersecurity Heroes series, we speak with Miruna Rosca, Cryptography Researcher at Bitdefender, on how quantum computing will impact cybersecurity. This video series is part of the #CyberSecurityAwarenessMonth. Read more: https://t.co/b388vcK3ym
#BeCyberSmart