Top Tweets for #SecureAggregation
Wanna ensure an honest majority in the participants for #SecureAggregation and #DifferentialPrivacy in #FederatedLearning?
Our #usesec24 work does it for you even when the server is malicious!
Join us at Track 5 (Salon G) of @USENIXSecurity on Wed, Aug 14, at noon to learn more
πππExcited to share the amazing news that our work Lotto has been accepted to @USENIXSecurity 2024! Huge thanks and congratulations to my incredibly talented colleagues Peng Ye and @_ShiqiHe_, and inspiring research mentors Wei Wang, @ruichuan, and Bo Li.πππ @HkustSc (1/3)
As 1st Published on 14/12/23,
here's the #Algorithm of the #BravoX Transform Formula.
You can now #RUN the Neural Computer Program with your Federated Neural Training Data ( #FNTD ).
TIPS: Apply the #SecureAggregation & #DifferentialPrivacy of the #LoBaFoDiSp Sequence.
#BravoX Chess Engine
Presents
#UDHG Ai-Sport
(The Human Machine Chess Game)
#ACSGPT #MachineLearning #DataScience #5FAGPT #DeepLearning #NeuralNetwork #FederatedLearning #NeuroGaming #AppliedChessScience #DifferentialPrivacy #SecureAggregation #LoBaFoDiSp #ArtificialIntelligence
The #SecureAggregation feature of the ACS-Web-X #FederatedPartition Program can be used to develop a #NeuralPasskey with 5FA; depending on the Neural Processor Speed of the ACSGPT AI Model (LAIM or GAIM), all the 5 #DifferentialPrivacy Sessions could run within 120 seconds.
Watch this explainer to learn about Owkinβs new research on SRATTA - a theoretical attack on #federatedlearning data protected by #secureaggregation - presented at @icmlconf 2023.
To explore the full extent of SRATTA, read our latest blog at https://t.co/RxDEn7WSq7
#AI
Two days left of conference sessions at #ICML2023: Donβt miss the chance to talk to our Lead Research Scientist, @jeandut14000 about SRATTA β our latest research about the theoretical attack on data in #federatedlearning research that uses #secureaggregation.
@icmlconf
Hear Owkin's Tanguy Marchand explain our latest paper on SRATTA - being presented at @icmlconf 2023.
SRATTA describes a theoretical attack on #data protected by #secureaggregation in #federatedlearning. The attack can re-attribute data to its source, compromising #dataprivacy.
By understanding SRATTA, the paper proposes clear counter-measures that users of federated learning can take to actively protect their data privacy during training.
Read our blog to learn more at https://t.co/5deKr35out
Read the full paper at https://t.co/Be5vtUhEUa
Join Owkin in Hawaii this week at #ICML2023!
At 5pm PDT tomorrow, catch Owkin's @jeandut14000 presenting a poster on our recent publication about #secureaggregation and the way Owkin has shown how to effectively mitigate potential attacks on #federatedlearning projects.
π€― Lowkey Goated When #SecureAggregation Is The Vibe! π Check out this awesome paper by @xinchiqiu, @Renee42581826 et al. to learn more about efficient vertical federated learning! https://t.co/tsXCdUI414
Promising advancements in privacy-preserving machine learning - #FederatedLearning, #SecureAggregation, #DifferentialPrivacy, #HomomorphicEncryption. Scaling federated learning by Google https://t.co/6fMFlKhWhy. Great overview by @jvmancuso @dropoutlabsai https://t.co/TLjeG0YNkD
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