160 citations · 1.2k across the 101 of their papers we have counts for
16 papers · 1 filter
Towards Robust Reasoning over Knowledge Graphs
Zhaohan Xi, Ren Pang, Changjiang Li +4
Answering complex logical queries over large-scale knowledge graphs (KGs) represents an important artificial intelligence task, entailing a range of applications. Recently, knowled…
Understanding the Evolution of Blockchain Ecosystems: A Longitudinal Measurement Study of Bitcoin, Ethereum, and EOSIO
Ningyu He, Weihang Su, Zhou Yu +7
The continuing expansion of the blockchain ecosystems has attracted much attention from the research community. However, although a large number of research studies have been propo…
On the Security Risks of AutoML
Ren Pang, Zhaohan Xi, Shouling Ji +2
Neural Architecture Search (NAS) represents an emerging machine learning (ML) paradigm that automatically searches for models tailored to given tasks, which greatly simplifies the…
Trade or Trick? Detecting and Characterizing Scam Tokens on Uniswap Decentralized Exchange
Pengcheng Xia, Haoyu wang, Bingyu Gao +6
The prosperity of the cryptocurrency ecosystem drives the need for digital asset trading platforms. Beyond centralized exchanges (CEXs), decentralized exchanges (DEXs) are introduc…
Research on Third-Party Libraries in AndroidApps: A Taxonomy and Systematic LiteratureReview
Xian Zhan, Tianming Liu, Lingling Fan +4
Third-party libraries (TPLs) have been widely used in mobile apps, which play an essential part in the entire Android ecosystem. However, TPL is a double-edged sword. On the one ha…
A Systematic Assessment on Android Third-party Library Detection Tools
Xian Zhan, Tianming Liu, Yepang Liu +4
Third-party libraries (TPLs) have become a significant part of the Android ecosystem. Developers can employ various TPLs to facilitate their app development. Unfortunately, the pop…
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection
Yulin Zhu, Yuni Lai, Kaifa Zhao +4
Graph-based Anomaly Detection (GAD) is becoming prevalent due to the powerful representation abilities of graphs as well as recent advances in graph mining techniques. These GAD to…
iBatch: Saving Ethereum Fees via Secure and Cost-Effective Batching of Smart-Contract Invocations
Yibo Wang, Kai Li, Yuzhe Tang +4
This paper presents iBatch, a middleware system running on top of an operational Ethereum network to enable secure batching of smart-contract invocations against an untrusted relay…
A Measurement Study on the (In)security of End-of-Life (EoL) Embedded Devices
Dingding Wang, Muhui Jiang, Rui Chang +5
Embedded devices are becoming popular. Meanwhile, researchers are actively working on improving the security of embedded devices. However, previous work ignores the insecurity caus…
ECMO: Peripheral Transplantation to Rehost Embedded Linux Kernels
Muhui Jiang, Lin Ma, Yajin Zhou +6
Dynamic analysis based on the full-system emulator QEMU is widely used for various purposes. However, it is challenging to run firmware images of embedded devices in QEMU, especial…
Automatically Locating ARM Instructions Deviation between Real Devices and CPU Emulators
Muhui Jiang, Tianyi Xu, Yajin Zhou +5
Emulator is widely used to build dynamic analysis frameworks due to its fine-grained tracing capability, full system monitoring functionality, and scalability of running on differe…
Ethereum Name Service: the Good, the Bad, and the Ugly
Pengcheng Xia, Haoyu Wang, Zhou Yu +3
DNS has always been criticized for its inherent design flaws, making the system vulnerable to kinds of attacks. Besides, DNS domain names are not fully controlled by the users, whi…
Smart Contract Security: a Practitioners' Perspective
Zhiyuan Wan, Xin Xia, David Lo +3
Smart contracts have been plagued by security incidents, which resulted in substantial financial losses. Given numerous research efforts in addressing the security issues of smart…
A Systematical Study on Application Performance Management Libraries for Apps
Yutian Tang, Haoyu Wang, Xian Zhan +6
Being able to automatically detect the performance issues in apps can significantly improve apps' quality as well as having a positive influence on user satisfaction. Application P…
CHAMP: Characterizing Undesired App Behaviors from User Comments based on Market Policies
Yangyu Hu, Haoyu Wang, Tiantong Ji +4
Millions of mobile apps have been available through various app markets. Although most app markets have enforced a number of automated or even manual mechanisms to vet each app bef…
ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications
Xian Zhan, Lingling Fan, Sen Chen +4
We propose a system, named ATVHunter, which can pinpoint the precise vulnerable in-app TPL versions and provide detailed information about the vulnerabilities and TPLs. We propose…