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20112021
most citedMutual Information Optimally Local Private Discrete Distribution Estimation

66 citations · 123 across the 21 of their papers we have counts for

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6 papers · 1 filter

cs.CR2021

F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network

Chuanpeng Guo, Wei Yang, Liusheng Huang

Traditional machine learning-based steganalysis methods on compressed speech have achieved great success in the field of communication security. However, previous studies lacked ma…

cs.CR2019★ 7 cited

Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability

Shaowei Wang, Jiachun Du, Wei Yang +5

Voting plays a central role in bringing crowd wisdom to collective decision making, meanwhile data privacy has been a common ethical/legal issue in eliciting preferences from indiv…

cs.CR2013

PS-TRUST: Provably Secure Solution for Truthful Double Spectrum Auctions

Zhili Chen, Liusheng Huang, Lu Li +4

Truthful spectrum auctions have been extensively studied in recent years. Truthfulness makes bidders bid their true valuations, simplifying greatly the analysis of auctions. Howeve…

cs.CR2012

On the security of an enhanced short signature scheme

Miaomiao Tian, Liusheng Huang, Wei Yang

Currently, short signature is receiving significant attention since it is particularly useful in low-bandwidth communication environments. However, most of the short signature sche…

cs.CR2011

Cryptanalysis of a lattice-based proxy signature scheme

Miaomiao Tian, Liusheng Huang

A proxy signature scheme allows a proxy signer to sign messages on behalf of an original signer. Proxy signature schemes have found numerous practical applications such as grid com…

cs.CR2011★ 2 cited

Security of a biometric identity-based encryption scheme

Miaomiao Tian, Wei Yang, Liusheng Huang

Biometric identity-based encryption (Bio-IBE) is a kind of fuzzy identity-based encryption (fuzzy IBE) where a ciphertext encrypted under an identity w' can be decrypted using a se…