This Paper Is Included in the Proceedings of the 12th Usenix Symposium on Operating Systems Design and Implementation (osdi '16). Unobservable Communication over Fully Untrusted Infrastructure…

By Sebastian Angel, U. Austin, Srinath Nyu, Setty

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Secure Federated Submodel Learning (2019, methodology): “The stateof-the-art constructions of private information retrieval include Microsoft’s SealPIR [13] and Labeled PSI [14] and Goolge’s PSIR [15], where two Microsoft protocols have been deployed in its Pung private communication system [16].”
Private Stateful Information Retrieval (2018, neutral): “Our experimental database contains n = 216, 218, 220 records of 288 bytes and to match the experiments of previous works [7, 8].”
PIR with Compressed Queries and Amortized Query Processing (2018, methodology): “Pung [7] hybridizes an existing batch code due to Ishai et al.”
Communication-Computation Trade-offs in PIR (2019, methodology): “While the feasibility of this primitive has been resolved for a long time [16], the search for concretely efficient constructions for practical applications has been an active area of research [5, 6, 21, 26, 27, 32, 38, 50, 68].”
Karaoke: Distributed Private Messaging Immune to Passive Traffic Analysis (2018, methodology): “For example, with 2 million connected users, Vuvuzela has an end-to-end latency of 55 seconds, and the latencies of Pung and Stadium are even higher.”
Stadium: A Distributed Metadata-Private Messaging System (2017, methodology): “In recent years, researchers havemade significant progress in designing systems with provable protection against metadata leakage [1, 12, 14, 15, 45].”
Labeled PSI from Fully Homomorphic Encryption with Malicious Security (2018, methodology): “Pung also optimized for the multi-query using hashing techniques.”
SGX-LKL: Securing the Host OS Interface for Trusted Execution (2019, background): “More recently, Private Information Retrieval (PIR) [5,22,25] and differential privacy techniques [9,96,99] add noise to hide the metadata.”