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20142021
most citedLocal Differential Privacy for Deep Learning

242 citations · 380 across the 11 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CR2019★ 3 cited

TeleHammer: A Formal Model of Implicit Rowhammer

Zhi Zhang, Yueqiang Cheng, Dongxi Liu +2

The rowhammer bug allows an attacker to gain privilege escalation or steal private data. A key requirement of all existing rowhammer attacks is that an attacker must have access to…

cs.CR2019★ 4 cited

Enabling Efficient Privacy-Assured Outlier Detection over Encrypted Incremental Datasets

Shangqi Lai, Xingliang Yuan, Amin Sakzad +3

Outlier detection is widely used in practice to track the anomaly on incremental datasets such as network traffic and system logs. However, these datasets often involve sensitive i…

cs.LG2019★ 242 cited

Local Differential Privacy for Deep Learning

M. A. P. Chamikara, P. Bertok, I. Khalil +3

The internet of things (IoT) is transforming major industries including but not limited to healthcare, agriculture, finance, energy, and transportation. IoT platforms are continual…

cs.CR2019★ 39 cited

GraphSE: An Encrypted Graph Database for Privacy-Preserving Social Search

Shangqi Lai, Xingliang Yuan, Shi-Feng Sun +3

In this paper, we propose GraphSE, an encrypted graph database for online social network services to address massive data breaches. GraphSE preserves the functionality of s…

cs.CR2019★ 16 cited

A Blockchain-based Self-tallying Voting Scheme in Decentralized IoT

Yannan Li, Willy Susilo, Guomin Yang +3

The Internet of Things (IoT) is experiencing explosive growth and has gained extensive attention from academia and industry in recent years. Most of the existing IoT infrastructure…