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20172021
most citedTowards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition

14 citations · 34 across the 9 of their papers we have counts for

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Showing 2020 · cs.CRShow all

6 papers · 2 filters

cs.CR2020

FederBoost: Private Federated Learning for GBDT

Zhihua Tian, Rui Zhang, Xiaoyang Hou +4

Federated Learning (FL) has been an emerging trend in machine learning and artificial intelligence. It allows multiple participants to collaboratively train a better global model a…

cs.CR2020

Towards Understanding and Demystifying Bitcoin Mixing Services

Lei Wu, Yufeng Hu, Yajin Zhou +5

One reason for the popularity of Bitcoin is due to its anonymity. Although several heuristics have been used to break the anonymity, new approaches are proposed to enhance its anon…

cs.CR2020

Towards A First Step to Understand Flash Loan and Its Applications in DeFi Ecosystem

Dabao Wang, Siwei Wu, Ziling Lin +5

Flash Loan, as an emerging service in the decentralized finance ecosystem, allows users to request a non-collateral loan. While providing convenience, it also enables attackers to…

cs.CR2020

Privacy Enhancement via Dummy Points in the Shuffle Model

Xiaochen Li, Weiran Liu, Hanwen Feng +4

The shuffle model is recently proposed to address the issue of severe utility loss in Local Differential Privacy (LDP) due to distributed data randomization.In the shuffle model, a…

cs.CR2020

Time-Travel Investigation: Towards Building A Scalable Attack Detection Framework on Ethereum

Lei Wu, Siwei Wu, Yajin Zhou +5

As one of the representative blockchain platforms, Ethereum has attracted lots of attacks. Due to the existed financial loss, there is a pressing need to perform timely investigati…

cs.CR2020

A Framework for Behavior Privacy Preserving in Radio Frequency Signal

Jianwei Liu, Jinsong Han, Lei Yang +3

Recent years have witnessed the bloom development of the human-centered wireless sensing applications, in which some human information, such as the user's identity and motions, can…