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SUMMARY:K9db: Privacy-Compliant Storage For Web Applications By Constructi
 on - Malte Schwarzkopf (Brown University)
DTSTART:20231027T140000Z
DTEND:20231027T150000Z
UID:TALK207547@talks.cam.ac.uk
CONTACT:Srinivasan Keshav
DESCRIPTION:Data privacy laws like the EU's GDPR grant users new rights\, 
 such as the right to request access to and deletion of their data. Manual 
 compliance with these requests is error-prone and imposes costly burdens e
 specially on smaller organizations\, as non-compliance risks steep fines.\
 n\nK9db is a new\, MySQL-compatible database that complies with privacy la
 ws by construction. The key idea is to make the data ownership and sharing
  semantics explicit in the storage system. This requires K9db to capture a
 nd enforce applications' complex data ownership and sharing semantics\, bu
 t in exchange simplifies privacy compliance. Using a small set of schema a
 nnotations\, K9db infers storage organization\, generates procedures for d
 ata retrieval and deletion\, and reports compliance errors if an applicati
 on risks violating the GDPR.\n\nOur K9db prototype successfully expresses 
 the data sharing semantics of real web applications\, and guides developer
 s to getting privacy compliance right. K9db also matches or exceeds the pe
 rformance of existing storage systems\, at the cost of a modest increase i
 n state size.\n \nBio:\nMalte Schwarzkopf is an Assistant Professor of Com
 puter Science at Brown University\, where he leads the ETOS group. Malte's
  research is on new abstractions that deliver efficient\, easy-to-use\, an
 d trustworthy computer systems. Recent projects include systems to make we
 b services privacy-compliant by construction\, high-performance remote mem
 ory\, and soft memory\, a new form of revocable memory. Malte is a recipie
 nt of the NSF CAREER award\, a Google Research Award\, Brown University's 
 Henry Merritt Wriston Fellowship and Richard B. Salomon Award\, and a clas
 s of 2023 Barrett Hazeltine Citation for Excellence in Teaching\, Guidance
 \, and Support. His past research received best paper awards at NSDI and E
 uroSys\, as well as the EuroSys 2023 Test of Time Award. Prior to Brown\, 
 Malte was a postdoc with MIT's PDOS group and completed his PhD at the Uni
 versity of Cambridge. He is still getting used to living in a city not cal
 led Cambridge.
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