Sinem Sav
@muhayyileliComputer Scientist, Security and Privacy Researcher, Asst. Prof. @ CS_Bilkent, previously @CS_Bilkent @EPFL
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Check out our new preprint on genomic privacy. As we and others have shown, the genomic data sharing beacon protocol is vulnerable to membership inference attacks. Defenses exist but they cannot adapt to threats that can change strategies and evolve. biorxiv.org/content/10.110…
First grant alert! I am pleased to announce that my Career Development Grant proposal is funded by TUBITAK.
Delighted to announce that PETS'24 @PET_Symposium chairs are envisioning an on-site free of charge childcare so that kids have fun while we present our papers! To estimate the needs of the community, please fill in our online survey by April 2, 2024: docs.google.com/forms/d/e/1FAI…
I’m pleased to announce that I joined Bilkent University as an assistant professor in Computer Engineering Department. I have open positions for graduate students and PostDocs; if you are excited about privacy and security research, please contact me!
It was a great pleasure to be part of #pets23 at our home, Lausanne and to present our paper “Privacy-preserving Federated Recurrent Neural Networks” @PET_Symposium Check out for more information here: arxiv.org/pdf/2207.13947…
Then @muhayyileli, who I co-advise with @JPHubaux, had her public defense. Congrats Dr. Sav! She will continue doing great work @BilkentUniv Stay tuned!
I’m happy to be part of RECOMB2023 for a highlight talk on our work PriCell!
Up next: Privacy-Preserving Federated Neural Network Learning For Disease-Associated Cell Classification by Sinem Sav. #RECOMB2023
I am also looking for postdocs with cryptography background looking into designing practical systems. If you are interested send me a DM or an email!
Carmela Troncoso has openings for #PhD students in her group👩🏻🎓! Find out more about @carmelatroncoso's #research spring.epfl.ch and our world-leading @EPFL #EDIC #computerscience PhD program: go.epfl.ch/phd-edic
(1/8) I am very happy to announce askcryp.to, a non-commercial platform to discuss and ask questions about Cryptology ePrint Archive papers. It aims to accumulate knowledge around papers in cryptography.
Yesterday was my last day of working at Google. Perhaps this comes as surprise to you twitter folks, as I haven't widely announced that I left academia to try something new. Here's what I learned in 9 months as a Data Analyst who (temporarily) left Astronomy for Big Tech. 1/n
Read a recent paper from @Patterns_CP and learn what the author @muhayyileli at @LDS_epfl has to say about their work hubs.li/Q01bTdKZ0
Online Now: Privacy-preserving federated neural network learning for disease-associated cell classification dlvr.it/SNnKlQ #datascience
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