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- Lecture 5 — Approximate Differential Privacy
- The Algorithmic Foundations of Differential Privacy
- On the Geometry of Differential Privacy
- Success Stories of Differential Privacy
- Federated Computing Research Conference, FCRC’96, Which Is David Wise, Steering Being Held May 20 - 28, 1996 at the Philadelphia Downtown Marriott
- 2020 Knuth Prize Is Awarded to Cynthia Dwork
- Submission Data for 2017 CORE Conference Re-Ranking Process Innovations in Theoretical Computer Science
- Lipics-ICALP-2016-29.Pdf (0.6
- Cynthia Dwork Yoram Moses IBM Almaden Research Center, MIT Laboratory for Computer Science, San Jose, CA 95193 Cambridge, MA 02139
- A Survey of Attacks on Private Data
- Differential Privacy
- The Limits of Two-Party Differential Privacy
- Composable and Versatile Privacy Via Truncated CDP
- Verifiable Random Functions
- New Computational Aspects of Discrepancy Theory
- Chicago Journal of Theoretical Computer Science the MIT Press
- The Pennsylvania State University the Graduate School
- Salil P. Vadhan
- Faster Differentially Private Samplers Via Rényi Divergence Analysis of Discretized Langevin MCMC
- Calibrating Noise to Variance in Adaptive Data Analysis
- Contents U U U
- Channels, Cascades, and the Information Order Barbara Espinoza Becerra Florida International University, [email protected]
- Kunal Talwar
- Privacy-Preserving Statistical Estimation with Optimal Convergence Rates∗
- DREI'98 Report
- Visions for Theoretical Computer Science
- February 2018 Table of Contents
- Chicago Journal of Theoretical Computer Science MIT Press
- Do Distributed Differentially-Private Protocols Require Oblivious
- New Hardness Results for Total Search Problems and Non-Interactive Lattice-Based Protocols Aikaterini Sotiraki
- Arxiv:1702.02970V1 [Cs.DS] 9 Feb 2017
- Ieee Richard W. Hamming Medal Recipients
- A Celebration of the Work of Stephen Cook May 6-9, 2019 • the Fields Institutemay 6-10, 2019 Fields Institute
- Ieee-Level Awards
- Multi-Party Timed Commitments
- Truthful Mechanisms for Agents That Value Privacy
- Utilities for Democracy: Why and How the Algorithmic Infrastructure of Facebook and Google Must Be Regulated
- On Efficient Zero-Knowledge Pcps
- Supplementary Material for “The Composition Theorem for Dif- Ferential Privacy”
- Safe Machine Learning
- Call for Papers
- Construction of a Non-Malleable Encryption Scheme from Any Semantically Secure One
- A Computational Separation Between Private Learning and Online Learning∗
- Association for Computing Machinery 2 Penn Plaza, Suite 701, New York
- Research Statement
- Of the American Mathematical Society
- An Equivalence Between Private Classification and Online Prediction
- PSI (Ψ): a Private Data Sharing Interface∗ (Working Paper)
- On the Geometry of Two-Party Differentially-Private Protocols
- Programming Technologies for Engineering Quality Multicore
- A Note on Perfect Correctness by Derandomization∗
- Asymmetric Differential Privacy
- Randomized Protocols for Asynchronous Consensus
- Open Problems on Rigorous Notions of Privacy from the DIMACS Workshop of October 2012
- Private Hypothesis Selection
- Comparing Information Without Leaking It
- Chicago Journal of Theoretical Computer Science MIT Press
- Lipics-Socg-2020-52.Pdf (0.5
- Differentially Private Assouad, Fano, and Le Cam
- Chicago Journal of Theoretical Computer Science the MIT Press
- On Thesemantics' of Differential Privacy: a Bayesian Formulation