FR4.R8.3

Equal Requests are Asymptotically Hardest for Data Recovery

Jüri Lember, Ago-Erik Riet, University of Tartu, Estonia
Session:
Private Information Retrieval 3
Track:
16: Private Information Retrieval
Location:
Omega
Presentation Time:
Fri, 12 Jul, 17:05 - 17:25
Session Chair:
Martina Cardone, University of Minnesota
Presentation
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Session FR4.R8
FR4.R8.1: Private Approximate Nearest Neighbor Search for Vector Database Querying
Sajani Vithana, Harvard University, United States; Martina Cardone, University of Minnesota, Minneapolis, United States; Flavio Calmon, Harvard University, United States
FR4.R8.2: An Efficient, High-Rate Scheme for Private Information Retrieval over the Gaussian MAC
Or Elimelech, Asaf Cohen, Ben Gurion University, Israel
FR4.R8.3: Equal Requests are Asymptotically Hardest for Data Recovery
Jüri Lember, Ago-Erik Riet, University of Tartu, Estonia
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