FR1.R8.4

Quantifying Privacy via Information Density

Leonhard Grosse, Sara Saeidian, KTH Royal Institute of Technology, Sweden; Parastoo Sadeghi, University of New South Wales, Australia; Tobias J. Oechtering, Mikael Skoglund, KTH Royal Institute of Technology, Sweden
Session:
Differential Privacy
Track:
16: Privacy and Fairness
Location:
Omega
Presentation Time:
Fri, 12 Jul, 10:45 - 11:05
Session Chair:
Asaf Cohen, Ben-Gorion University of the Negev
Presentation
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Discussion
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Session FR1.R8
FR1.R8.1: Differential-Privacy Capacity
Wael Alghamdi, Harvard University, United States; Shahab Asoodeh, McMaster University, Canada; Flavio P. Calmon, Harvard University, United States; Oliver Kosut, Lalitha Sankar, Arizona State University, United States
FR1.R8.2: On the Extreme Points of the (0, δ)-Differential Privacy Polytope
Karan Elangovan, Varun Jog, University of Cambridge, United Kingdom
FR1.R8.3: Achieving the Exactly Optimal Privacy-Utility Trade-Off with Low Communication Cost via Shared Randomness
Seung-Hyun Nam, Hyun-Young Park, Si-Hyeon Lee, KAIST, Korea (South)
FR1.R8.4: Quantifying Privacy via Information Density
Leonhard Grosse, Sara Saeidian, KTH Royal Institute of Technology, Sweden; Parastoo Sadeghi, University of New South Wales, Australia; Tobias J. Oechtering, Mikael Skoglund, KTH Royal Institute of Technology, Sweden
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