158 citations · 611 across the 24 of their papers we have counts for
25 papers
Privacy Preserving In-memory Computing Engine
Haoran Geng, Jianqiao Mo, Dayane Reis +5
Privacy has rapidly become a major concern/design consideration. Homomorphic Encryption (HE) and Garbled Circuits (GC) are privacy-preserving techniques that support computations o…
Proof-of-Federated-Learning-Subchain: Free Partner Selection Subchain Based on Federated Learning
Boyang Li, Bingyu Shen, Qing Lu +2
The continuous thriving of the Blockchain society motivates research in novel designs of schemes supporting cryptocurrencies. Previously multiple Proof-of-Deep-Learning(PoDL) conse…
A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus
Boyang Li, Qing Lu, Weiwen Jiang +2
In most popular public accessible cryptocurrency systems, the mining pool plays a key role because mining cryptocurrency with the mining pool turns the non-profitable situation int…
The Stackelberg Equilibrium for One-sided Zero-sum Partially Observable Stochastic Games
Wei Zheng, Taeho Jung, Hai Lin
Formulating cyber-security problems with attackers and defenders as a partially observable stochastic game has become a trend recently. Among them, the one-sided two-player zero-su…
Genomic Encryption of Biometric Information for Privacy-Preserving Forensics
Taeho Jung, Ryan Karl, Geoffrey H. Siwo
DNA fingerprinting is a cornerstone for human identification in forensics, where the sequence of highly polymorphic short tandem repeats (STRs) from an individual is compared again…
Federated Dynamic GNN with Secure Aggregation
Meng Jiang, Taeho Jung, Ryan Karl +1
Given video data from multiple personal devices or street cameras, can we exploit the structural and dynamic information to learn dynamic representation of objects for applications…
Opacity of Discrete Event Systems with Active Intruder
Alireza Partovi, Taeho Jung, Lin Hai
Opacity is a security property formalizing the information leakage of a system to an external observer, namely intruder. The conventional opacity that has been studied in the Discr…
Secure Single-Server Nearly-Identical Image Deduplication
Jonathan Takeshita, Ryan Karl, Taeho Jung
Cloud computing is often utilized for file storage. Clients of cloud storage services want to ensure the privacy of their data, and both clients and servers want to use as little s…
Computing-in-Memory for Performance and Energy Efficient Homomorphic Encryption
Dayane Reis, Jonathan Takeshita, Taeho Jung +2
Homomorphic encryption (HE) allows direct computations on encrypted data. Despite numerous research efforts, the practicality of HE schemes remains to be demonstrated. In this rega…
Ensuring Privacy in Location-Based Services: A Model-based Approach
Alireza Partovi, Wei Zheng, Taeho Jung +1
In recent years, the widespread of mobile devices equipped with GPS and communication chips has led to the growing use of location-based services (LBS) in which a user receives a s…
DLBC: A Deep Learning-Based Consensus in Blockchains for Deep Learning Services
Boyang Li, Changhao Chenli, Xiaowei Xu +2
With the increasing artificial intelligence application, deep neural network (DNN) has become an emerging task. However, to train a good deep learning model will suffer from enormo…
Energy-recycling Blockchain with Proof-of-Deep-Learning
Changhao Chenli, Boyang Li, Yiyu Shi +1
An enormous amount of energy is wasted in Proofof-Work (PoW) mechanisms adopted by popular blockchain applications (e.g., PoW-based cryptocurrencies), because miners must conduct a…
AppAngio: Revealing Contextual Information of Android App Behaviors by API-Level Audit Logs
Zhaoyi Meng, Yan Xiong, Wenchao Huang +2
Android users are now suffering severe threats from unwanted behaviors of various apps. The analysis of apps' audit logs is one of the essential methods for some device manufacture…
VoiceMask: Anonymize and Sanitize Voice Input on Mobile Devices
Jianwei Qian, Haohua Du, Jiahui Hou +5
Voice input has been tremendously improving the user experience of mobile devices by freeing our hands from typing on the small screen. Speech recognition is the key technology tha…
Social Network De-anonymization: More Adversarial Knowledge, More Users Re-Identified?
Jianwei Qian, Xiang-Yang Li, Yu Wang +3
Following the trend of data trading and data publishing, many online social networks have enabled potentially sensitive data to be exchanged or shared on the web. As a result, user…
Cloud-based Privacy Preserving Image Storage, Sharing and Search
Lan Zhang, Taeho Jung, Puchun Feng +2
High-resolution cameras produce huge volume of high quality images everyday. It is extremely challenging to store, share and especially search those huge images, for which increasi…
Outsource Photo Sharing and Searching for Mobile Devices With Privacy Protection
Lan Zhang, Taeho Jung, Cihang Liu +3
With the proliferation of mobile devices, cloud-based photo sharing and searching services are becoming common due to the mobile devices' resource constrains. Meanwhile, there is a…
SmartLoc: Sensing Landmarks Silently for Smartphone Based Metropolitan Localization
Cheng Bo, Xiang-Yang Li, Taeho Jung +1
We present \emph{SmartLoc}, a localization system to estimate the location and the traveling distance by leveraging the lower-power inertial sensors embedded in smartphones as a su…
Enabling Privacy-preserving Auctions in Big Data
Taeho Jung, Xiang-Yang Li
We study how to enable auctions in the big data context to solve many upcoming data-based decision problems in the near future. We consider the characteristics of the big data incl…
PDA: Semantically Secure Time-Series Data Analytics with Dynamic Subgroups
Taeho Jung, Junze Han, Xiang-Yang Li
Third-party analysis on private records is becoming increasingly important due to the widespread data collection for various analysis purposes. However, the data in its original fo…
A General Framework for Privacy-Preserving Distributed Greedy Algorithm
Taeho Jung, Xiang-Yang Li, Lan Zhang
Increasingly more attention is paid to the privacy in online applications due to the widespread data collection for various analysis purposes. Sensitive information might be mined…
Search Me If You Can: Privacy-preserving Location Query Service
Xiang-Yang Li, Taeho Jung
Location-Based Service (LBS) becomes increasingly popular with the dramatic growth of smartphones and social network services (SNS), and its context-rich functionalities attract co…
Network Agile Preference-Based Prefetching for Mobile Devices
JunZe Han, Xiang-Yang Li
For mobile devices, communication via cellular networks consumes more energy, and has a lower data rate than WiFi networks, and suffers an expensive limited data plan. However the…
Data Aggregation without Secure Channel: How to Evaluate a Multivariate Polynomial Securely
Taeho Jung, XuFei Mao, Xiang-Yang Li +3
Much research has been conducted to securely outsource multiple parties' data aggregation to an untrusted aggregator without disclosing each individual's data, or to enable multipl…