4 citations · 5 across the 3 of their papers we have counts for
6 papers · 1 filter
TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism
Jiandong Liu, Lan Zhang, Chaojie Lv +3
In modern distributed computing applications, such as federated learning and AIoT systems, protecting privacy is crucial to prevent adversarial parties from colluding to steal othe…
Security Analysis of EOSIO Smart Contracts
Ningyu He, Ruiyi Zhang, Lei Wu +5
The EOSIO blockchain, one of the representative Delegated Proof-of-Stake (DPoS) blockchain platforms, has grown rapidly recently. Meanwhile, a number of vulnerabilities and high-pr…
DeviceWatch: Identifying Compromised Mobile Devices through Network Traffic Analysis and Graph Inference
Euijin Choo, Mohamed Nabeel, Mashael Alsabah +3
In this paper, we propose to identify compromised mobile devices from a network administrator's point of view. Intuitively, inadvertent users (and thus their devices) who download…
Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy
Haipei Sun, Boxiang Dong, Hui +3
Crowdsourcing has arisen as a new problem-solving paradigm for tasks that are difficult for computers but easy for humans. However, since the answers collected from the recruited p…
A Survey on Malicious Domains Detection through DNS Data Analysis
Yury Zhauniarovich, Issa Khalil, Ting Yu +1
Malicious domains are one of the major resources required for adversaries to run attacks over the Internet. Due to the important role of the Domain Name System (DNS), extensive res…
Killing Two Birds with One Stone: Malicious Domain Detection with High Accuracy and Coverage
Issa Khalil, Bei Guan, Mohamed Nabeel +1
Inference based techniques are one of the major approaches to analyze DNS data and detecting malicious domains. The key idea of inference techniques is to first define associations…