160 citations · 1.2k across the 101 of their papers we have counts for
9 papers · 1 filter
A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification
Kaifa Zhao, Le Yu, Shiyao Zhou +4
Privacy protection raises great attention on both legal levels and user awareness. To protect user privacy, countries enact laws and regulations requiring software privacy policies…
Do Pre-trained Language Models Indeed Understand Software Engineering Tasks?
Yao Li, Tao Zhang, Xiapu Luo +3
Artificial intelligence (AI) for software engineering (SE) tasks has recently achieved promising performance. In this paper, we investigate to what extent the pre-trained language…
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
Yulin Zhu, Liang Tong, Gaolei Li +2
Graph Neural Networks (GNNs) are vulnerable to data poisoning attacks, which will generate a poisoned graph as the input to the GNN models. We present FocusedCleaner as a poisoned…
A Survey on EOSIO Systems Security: Vulnerability, Attack, and Mitigation
Ningyu He, Haoyu Wang, Lei Wu +3
EOSIO, as one of the most representative blockchain 3.0 platforms, involves lots of new features, e.g., delegated proof of stake consensus algorithm and updatable smart contracts,…
iLibScope: Reliable Third-Party Library Detection for iOS Mobile Apps
Jingyi Guo, Min Zheng, Yajin Zhou +4
Vetting security impacts introduced by third-party libraries in iOS apps requires a reliable library detection technique. Especially when a new vulnerability (or a privacy-invasive…
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks
Yulin Zhu, Tomasz Michalak, Xiapu Luo +2
Signed social networks are widely used to model the trust relationships among online users in security-sensitive systems such as cryptocurrency trading platforms, where trust predi…
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection
Yulin Zhu, Yuni Lai, Kaifa Zhao +5
The success of graph neural networks stimulates the prosperity of graph mining and the corresponding downstream tasks including graph anomaly detection (GAD). However, it has been…
SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics
He Ye, Matias Martinez, Xiapu Luo +2
Learning-based program repair has achieved good results in a recent series of papers. Yet, we observe that the related work fails to repair some bugs because of a lack of knowledge…
Aper: Evolution-Aware Runtime Permission Misuse Detection for Android Apps
Sinan Wang, Yibo Wang, Xian Zhan +4
The Android platform introduces the runtime permission model in version 6.0. The new model greatly improves data privacy and user experience, but brings new challenges for app deve…