activity
20192021
most citedFingerprinting Encrypted Voice Traffic on Smart Speakers with Deep Learning

5 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2021

Speedster: A TEE-assisted State Channel System

Jinghui Liao, Fengwei Zhang, Wenhai Sun +1

State channel network is the most popular layer-2 solution to theissues of scalability, high transaction fees, and low transaction throughput of public Blockchain networks. However…

cs.CR20203 cited

Monitoring-based Differential Privacy Mechanism Against Query-Flooding Parameter Duplication Attack

Haonan Yan, Xiaoguang Li, Hui Li +3

Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through…

cs.CR20205 cited

Fingerprinting Encrypted Voice Traffic on Smart Speakers with Deep Learning

Chenggang Wang, Sean Kennedy, Haipeng Li +5

This paper investigates the privacy leakage of smart speakers under an encrypted traffic analysis attack, referred to as voice command fingerprinting. In this attack, an adversary…

cs.CR2020

Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism

Xiaoguang Li, Hui Li, Haonan Yan +3

Public intelligent services enabled by machine learning algorithms are vulnerable to model extraction attacks that can steal confidential information of the learning models through…

cs.CR2019

Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data

Yaxing Chen, Qinghua Zheng, Dan Liu +5

While the security of the cloud remains a concern, a common practice is to encrypt data before outsourcing them for utilization. One key challenging issue is how to efficiently per…