Measuring the risk value of sensitive dataflow path in Android applications. - Pengbin Feng; Cong Sun 001; Jianfeng Ma 001 (Secur. Commun. Networks, 2016)

Data-Oriented Instrumentation against Information Leakages of Android Applications. - Cong Sun 001; Pengbin Feng; Teng Li 003; Jianfeng Ma 001 (COMPSAC (2), 2017)

Selecting Critical Data Flows in Android Applications for Abnormal Behavior Detection. - Pengbin Feng; Jianfeng Ma 001; Cong Sun 001 (Mob. Inf. Syst., 2017)

A Novel Dynamic Android Malware Detection System With Ensemble Learning. - Pengbin Feng; Jianfeng Ma 001; Cong Sun 001; Xinpeng Xu; Yuwan Ma (IEEE Access, 2018)

UBER: Combating Sandbox Evasion via User Behavior Emulators. - Pengbin Feng; Jianhua Sun; Songsong Liu; Kun Sun 001 (ICICS, 2019)

CatraDroid: A Call Trace Driven Detection of Malicious Behaiviors in Android Applications. - Cong Sun 001; Jun Chen; Pengbin Feng; Jianfeng Ma 001 (ML4CS, 2019)

Compositional Information Flow Verification for Inter Application Communications in Android System. - Xue Rao; Ning Xi 002; Jing Lv; Pengbin Feng (ML4CS, 2019)

Lightweight Security Authentication Mechanism Towards UAV Networks. - Teng Li 003; Jianfeng Ma 001; Pengbin Feng; Yue Meng; XinDi Ma; Jiawei Zhang 011; Chenyang Gao; Di Lu 001 (NaNA, 2019)

Android Malware Detection Based on Call Graph via Graph Neural Network. - Pengbin Feng; Jianfeng Ma 001; Teng Li 003; Xindi Ma; Ning Xi 002; Di Lu 001 (NaNA, 2020)

HoneyBog: A Hybrid Webshell Honeypot Framework against Command Injection. - Songsong Liu; Pengbin Feng; Kun Sun 001 (CNS, 2021)

PatchDB: A Large-Scale Security Patch Dataset. - Xinda Wang 001; Shu Wang 004; Pengbin Feng; Kun Sun 001; Sushil Jajodia (DSN, 2021)

PatchRNN: A Deep Learning-Based System for Security Patch Identification. - Xinda Wang 001; Shu Wang 004; Pengbin Feng; Kun Sun 001; Sushil Jajodia; Sanae Benchaaboun; Frank Geck (MILCOM, 2021)

Information flow based defensive chain for data leakage detection and prevention: a survey. - Ning Xi 002; Chao Chen 015; Jun Zhang 010; Cong Sun 001; Shigang Liu; Pengbin Feng; Jianfeng Ma 001 (CoRR, 2021)

Android Malware Detection via Graph Representation Learning. - Pengbin Feng; Jianfeng Ma 001; Teng Li 003; Xindi Ma; Ning Xi 002; Di Lu 001 (Mob. Inf. Syst., 2021)

Consistency is All I Ask: Attacks and Countermeasures on the Network Context of Distributed Honeypots. - Songsong Liu; Pengbin Feng; Jiahao Cao 001; Xu He; Tommy Chin; Kun Sun 001; Qi Li 002 (DIMVA, 2022)

BinProv: Binary Code Provenance Identification without Disassembly. - Xu He; Shu Wang 004; Yunlong Xing; Pengbin Feng; Haining Wang 001; Qi Li 002; Songqing Chen; Kun Sun 001 (RAID, 2022)

Enhancing malware analysis sandboxes with emulated user behavior. - Songsong Liu; Pengbin Feng; Shu Wang 004; Kun Sun 001; Jiahao Cao 001 (Comput. Secur., 2022)

ACDroid: Detecting Collusion Applications on Smart Devices. - Ning Xi 002; Yihuan He; Yuchen Zhang; Zhi Wang; Pengbin Feng (SciSec, 2023)

BejaGNN: behavior-based Java malware detection via graph neural network. - Pengbin Feng; Li Yang 005; Di Lu 001; Ning Xi 002; Jian-Feng Ma 001 (J. Supercomput., 2023)

BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning. - Xu He; Shu Wang 004; Pengbin Feng; Xinda Wang 001; Shiyu Sun; Qi Li 002; Kun Sun 001 (AsiaCCS, 2024)

DP-CLMI:Differentially Private Contrastive Learning Against Membership Inference Attack. - Junying Zhang; Yiwen Xia; Xindi Ma; Qi Jiang 001; Ning Xi 002; Di Lu 001; Pengbin Feng; Sheng Gao 002; Jianfeng Ma 001 (ICA3PP (5), 2024)

GlareShell: Graph learning-based PHP webshell detection for web server of industrial internet. - Pengbin Feng; Dawei Wei; Qiaoyang Li; Qin Wang; Youbing Hu; Ning Xi 002; Jianfeng Ma (Comput. Networks, 2024)

DawnGNN: Documentation augmented windows malware detection using graph neural network. - Pengbin Feng; Le Gai; Li Yang 005; Qin Wang; Teng Li 003; Ning Xi 002; Jian Feng Ma 001 (Comput. Secur., 2024)

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt. - Pengbin Feng; Yankaiqi Li; Yijiashun Qi; Xiaojun Guo; Zhenghao Lin (CoRR, 2024)

Impact assessment of third-party library vulnerabilities through vulnerability reachability analysis. - Zhizhuang Jia; Chao Yang 016; Pengbin Feng; Xiaoyun Zhao; Xinghua Li 001; Jianfeng Ma 001 (Comput. Secur., 2025)

GNNDroid: Graph-Learning Based Malware Detection for Android Apps With Native Code. - Ning Xi 002; Yuchen Zhang; Pengbin Feng; Siqi Ma; Jianfeng Ma 001; Yulong Shen 001; Yale Yang (IEEE Trans. Dependable Secur. Comput., 2025)

NeRF-Based defect detection. - Tianqi Ding; Dawei Xiang; Yijiashun Qi; Ze Yang; Zunduo Zhao; Tianyao Sun; Pengbin Feng; Haoyu Wang (CoRR, 2025)

CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward. - Zhiqiang Wang; Pengbin Feng; Yanbin Lin; Shuzhang Cai; Zongao Bian; Jinghua Yan; Xingquan Zhu 001 (CoRR, 2025)

Flash: Federated Graph Learning-Based Malicious Bash Script Detection for Industrial Cyber-Physical Systems. - Pengbin Feng; Ning Xi 002; Jiong Jin; Jun Zhang 010; Jianfeng Ma 001 (IEEE Trans. Ind. Informatics, 2025)