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Editorial

• 
  Aleksandar Nikolov, Lars Vilhuber:
  Editorial for Special Issue on the Theory and Practice of Differential Privacy 2018.

TPDP 2018

• 
  Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pól Mac Aonghusa:
  The Bounded Laplace Mechanism in Differential Privacy.
• 
  Matthew Joseph, Aaron Roth, Jonathan R. Ullman, Bo Waggoner:
  Local Differential Privacy for Evolving Data.
• 
  Aloni Cohen, Kobbi Nissim:
  Linear Program Reconstruction in Practice.
• 
  Jordan Awan, Aleksandra B. Slavkovic:
  Differentially Private Inference for Binomial Data.
• 
  Borja Balle, Gilles Barthe, Marco Gaboardi:
  Privacy Profiles and Amplification by Subsampling.

Sundry

• 
  Aleksandar Nikolov, Lars Vilhuber:
  Program for TPDP 2018.

Editorial

• 
  Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Lars Vilhuber:
  On Privacy in the Age of COVID-19.

Articles

• 
  Aidong Adam Ding, Guanhong Miao, Samuel Shangwu Wu:
  On the Privacy and Utility Properties of Triple Matrix-Masking.
• 
  Chien-Hung Chien, Alan H. Welsh, John D. Moore:
  Synthetic Business Microdata - an Australian example.
• 
  Hassan Jameel Asghar, Ming Ding, Thierry Rakotoarivelo, Sirine Mrabet, Dali Kaafar:
  Differentially Private Release of Datasets using Gaussian Copula.

TPDP 2018

• 
  Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang:
  INSPECTRE: Privately Estimating the Unseen.
• 
  Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan:
  Subsampled Rényi Differential Privacy and Analytical Moments Accountant.
• 
  Daniel M. Bittner, Alejandro E. Brito, Mohsen Ghassemi, Shantanu Rane, Anand D. Sarwate, Rebecca N. Wright:
  Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning.

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last updated on 2024-06-27 20:33 CEST by the dblp team

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