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- Traitor Tracing with Constant Transmission Rate
- Adam Davison Smith [email protected]
- Cryptographic Assumptions: a Position Paper
- Hashing, Load Balancing and Multiple Choice
- Federated Computing Research Conference, FCRC’96, Which Is David Wise, Steering Being Held May 20 - 28, 1996 at the Philadelphia Downtown Marriott
- Identity Based Encryption Schemes : a Survey
- Verifiable Random Functions
- Instance Complexity and Unlabeled Certificates in the Decision Tree Model
- Broadcast Encryption ∗
- Proceedings of the Twenty-Ninth Annual Acm Symposium on Theory of Computing
- Ronald Fagin
- Salil P. Vadhan
- STOC ’94 to Qualify for the Early Registration Fee, Your Registration Application Must Be Postmarked by Monday, April 25
- Contents U U U
- Novel Frameworks for Mining Heterogeneous and Dynamic
- Differential Privacy: What, Why and When a Tutorial
- Ronitt Rubinfeld
- Table of Contents
- Improved Black-Box Constructions of Composable Secure Computation
- Card Guessing with Limited Memory∗
- Livro Autor Link Do Livro CIÊNCIA DA COMPUTAÇÃO
- People Like Us: Mining Scholarly Data for Comparable Researchers
- Arxiv:2105.11126V2 [Cs.LG] 4 Jun 2021
- A Framework for Adversarial Streaming Via Differential Privacy
- Learning to Impersonate
- Oblivious Transfer - Wikipedia
- The 9Th Theory of Cryptography Conference TCC 2012
- Foundations of Machine Learning Ranking
- Practical Chosen Ciphertext Secure Encryption from Factoring
- P R E S S Proceedings of the Twenty-Ninth Annual Acm
- Association for Computing Machinery 2 Penn Plaza, Suite 701, New York
- Traitor Tracing with Constant Size Ciphertext
- John Von Neumann
- Differential Privacy in the Shuffle Model: a Survey of Separations
- Comparing Information Without Leaking It
- Database Theory – ICDT 2005
- Lecture Notes in Computer Science for Information About Vols
- Simulatable Adaptive Oblivious Transfer
- Privately Learning Thresholds: Closing the Exponential Gap
- Incomplete Reference List from INDOCRYPT Tutorial, Claudio Orlandi
- Comparing Information Without Leaking It
- On Thesemantics' of Differential Privacy: a Bayesian Formulation