Helen Möllering
@eneht_a
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Former Doctoral Researcher @ENCRYPTO_Group, @CYSEC_Darmstadt | Working on #ppml & #mpc | Loves 🧳, sports, and good 📚
Joined December 2019
On Friday, Helen Möllering @eneht_a successfully defended her PhD on "Towards Practical Privacy-Preserving Clustering & Health Care Data Analyses" @ENCRYPTO_Group @CS_TUDarmstadt @TUDarmstadt. Congratulations & thanks to committee @melek_onen,@SebastFaust,@cbinnig & Marc Fischlin
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👩💻 Ready for a postdoc in cryptography and privacy engineering ❓ @TUDarmstadt offers a new position associated with the ERC Starting Grant "Privacy-preserving Services on the Internet". Check it out 👉 https://t.co/K848PpaTIU
#ITSecurity #ComputerScience
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I'm looking for a motivated doctoral researcher/PhD student in Cryptography and Privacy Engineering @ENCRYPTO_Group @CS_TUDarmstadt @TUDarmstadt. The collaborative research center #CROSSING is funded by @DFG_Public. Please spread the word. See
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Please save the date. The @ENCRYPTO_Group @CS_TUDarmstadt @CYSEC_Darmstadt will organize TPMPC’24 at @TUDarmstadt. Looking forward to seeing you in Darmstadt next year!
#Event TPMPC '24: Theory and Practice of Multi-Party Computation Workshop 2024: Darmstadt, Germany, 3 June - 6 June 2024
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The poster session @crossfyre23 was really fun! Thanks to everyone for the interesting discussions and questions and of course, thanks to Crossfyre for giving me this opportunity ☺️
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We are really excited to attend the MPC & FHE track @RealWorldCrypto (but of course, only because of MPC 😉)
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I’m very excited to present our poster on privacy-preserving epidemiological modelling at my first in-person conference @acm_ccs’22 this week. Joint work with D. Günther, M. Holz, @benjulab, @bennypinkas, @tschneider_DA, and @Ajith_Suresh92.
#ePrint PEM: Privacy-preserving Epidemiological Modeling: M Holz, B Judkewitz, H Möllering, B Pinkas, T Schneider
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Hey, I'm Helen, a doctoral researcher supervised by @tschneider_DA at @TUDarmstadt working on secure multi-party computation (#mpc). Currently, I’m doing a research visit @SCSatCMU where I’m honored to work with Wenting Zheng on privacy-preserving machine learning (#ppml).
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SoK on private clustering algorithms with implementation and experimental comparison of today's most efficient fully private algorithms. This joint work with @adishegde (@IIITB_official), @eneht_a & @HYalame (@ENCRYPTO_Group) will appear at PETS'21 (@PET_Symposium).
#ePrint SoK: Efficient Privacy-preserving Clustering: A Hegde, H Möllering, T Schneider, H Yalame
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Private clustering beyond k-means: DBSCAN has several advantages and is feasible as well. To appear at #ASIACCS'21. Joint work with Beyza Bozdemir,@ermisorhan,@melek_onen (@EURECOM), Sébastien Canard (#OrangeLabs), and @eneht_a (@ENCRYPTO_Group).
[New] Privacy-preserving Density-based Clustering (Beyza Bozdemir and Sebastien Canard and Orhan Ermis and Helen Mollering and Melek Onen and Thomas Schneider)
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