Performance analysis of inter-vehicle communications in multilane traffic streams. - Xiaoyan Sun 003; Yuanlu Bao; Jun Dai; Wei Lu; Renhua Gao (VNC, 2009)

Gaining Big Picture Awareness through an Interconnected Cross-Layer Situation Knowledge Reference Model. - Jun Dai; Xiaoyan Sun 003; Peng Liu 005; Nicklaus A. Giacobe (CyberSecurity, 2012)

SKRM: Where security techniques talk to each other. - Xiaoyan Sun 003; Jun Dai; Peng Liu 005 (CogSIMA, 2013)

Patrol: Revealing Zero-Day Attack Paths through Network-Wide System Object Dependencies. - Jun Dai; Xiaoyan Sun 003; Peng Liu 005 (ESORICS, 2013)

Inferring the Stealthy Bridges Between Enterprise Network Islands in Cloud Using Cross-Layer Bayesian Networks. - Xiaoyan Sun 003; Jun Dai; Anoop Singhal; Peng Liu 005 (SecureComm (1), 2014)

Who Touched My Mission: Towards Probabilistic Mission Impact Assessment. - Xiaoyan Sun 003; Anoop Singhal; Peng Liu 005 (SafeConfig@CCS, 2015)

Towards probabilistic identification of zero-day attack paths. - Xiaoyan Sun 003; Jun Dai; Peng Liu 005; Anoop Singhal; John Yen (CNS, 2016)

Towards Actionable Mission Impact Assessment in the Context of Cloud Computing. - Xiaoyan Sun 003; Anoop Singhal; Peng Liu 005 (DBSec, 2017)

Enterprise-Level Cyber Situation Awareness. - Xiaoyan Sun 003; Jun Dai; Anoop Singhal; Peng Liu 005 (Theory and Models for Cyber Situation Awareness, 2017)

Assessing Attack Impact on Business Processes by Interconnecting Attack Graphs and Entity Dependency Graphs. - Chen Cao 004; Lun-Pin Yuan; Anoop Singhal; Peng Liu 005; Xiaoyan Sun 003; Sencun Zhu (DBSec, 2018)

Don't Be Surprised: I See Your Mobile App Stealing Your Data. - Swarna Gopalan; Aditi Kulkarni; Arpitaben Narendrabhai Shah; Jun Dai; Jinsong Ouyang; Pinar Muyan-Özçelik; Xiaoyan Sun 003 (ICNC, 2018)

A Mobile Botnet That Meets Up at Twitter. - Yulong Dong; Jun Dai; Xiaoyan Sun 003 (SecureComm (2), 2018)

Toward Cyberresiliency in the Context of Cloud Computing [Resilient Security]. - Xiaoyan Sun 003; Peng Liu 005; Anoop Singhal (IEEE Secur. Priv., 2018)

Probabilistic Inference of the Stealthy Bridges between Enterprise Networks in Cloud. - Xiaoyan Sun 003; Jun Dai; Anoop Singhal; Peng Liu 005 (EAI Endorsed Trans. Security Safety, 2018)

Using Bayesian Networks for Probabilistic Identification of Zero-Day Attack Paths. - Xiaoyan Sun 003; Jun Dai; Peng Liu 005; Anoop Singhal; John Yen (IEEE Trans. Inf. Forensics Secur., 2018)

Automatic Recognition of Advanced Persistent Threat Tactics for Enterprise Security. - Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (IWSPA@CODASPY, 2020)

Fingerprinting-based Indoor and Outdoor Localization with LoRa and Deep Learning. - Jait Purohit; Xuyu Wang; Shiwen Mao; Xiaoyan Sun 003; Chao Yang 025 (GLOBECOM, 2020)

WGT: Thwarting Web Attacks Through Web Gene Tree-based Moving Target Defense. - Yaqin Zhang; Duohe Ma; Xiaoyan Sun 003; Kai Chen 012; Feng Liu 001 (ICWS, 2020)

What You See Is Not What You Get: Towards Deception-Based Data Moving Target Defense. - Yaqin Zhang; Duohe Ma; Xiaoyan Sun 003; Kai Chen 012; Feng Liu 001 (IPCCC, 2020)

An Approach for Detection of Advanced Persistent Threat Attacks. - Qingtian Zou; Xiaoyan Sun 003; Peng Liu 005; Anoop Singhal (Computer, 2020)

Generating Comprehensive Data with Protocol Fuzzing for Applying Deep Learning to Detect Network Attacks. - Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (CoRR, 2020)

Deep Learning for Detecting Network Attacks: An End-to-End Approach. - Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (DBSec, 2021)

Game Theory Approaches for Evaluating the Deception-based Moving Target Defense. - Duohe Ma; Zhimin Tang; Xiaoyan Sun 003; Lu Guo; Liming Wang 001; Kai Chen 012 (MTD@CCS, 2022)

Attacks on ML Systems: From Security Analysis to Attack Mitigation. - Qingtian Zou; Lan Zhang 008; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (ICISS, 2022)

Deep IoT Monitoring: Filtering IoT Traffic Using Deep Learning. - Gargi Gopalkrishna Prabhugaonkar; Xiaoyan Sun 003; Xuyu Wang; Jun Dai (SVCC, 2022)

Deep learning for detecting logic-flaw-exploiting network attacks: An end-to-end approach. - Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (J. Comput. Secur., 2022)

Using Blockchain for Decentralized Artificial Intelligence with Data Privacy. - Anand Surendra Masurkar; Xiaoyan Sun 003; Jun Dai (ICNC, 2023)

Early Rumor Detection in Social Media Based on Graph Convolutional Networks. - Niteesh Reddy Thota; Xiaoyan Sun 003; Jun Dai (ICNC, 2023)

Identifying Superspreaders by Ranking System Object Instance Graphs. - Rajani Suryavanshi; Xiaoyan Sun 003; Jun Dai (IFIP Int. Conf. Digital Forensics, 2023)

Every Time Can Be Different: A Data Dynamic Protection Method Based on Moving Target Defense. - Zhimin Tang; Duohe Ma; Xiaoyan Sun 003; Kai Chen 012; Liming Wang 001; Junye Jiang (ISCC, 2023)

Evaluating Large Language Models for Real-World Vulnerability Repair in C/C++ Code. - Lan Zhang 008; Qingtian Zou; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (IWSPA@CODASPY, 2024)

Exploring Scalable Bayesian Networks For Identification of Zero-day Attack Paths. - Ravi Nitinkumar Patel; Xiaomei Zhang; Xiaoyan Sun 003; Jun Dai (SVCC, 2024)

SQLaser: Detecting DBMS Logic Bugs with Clause-Guided Fuzzing. - Jin Wei; Ping Chen 003; Kangjie Lu; Jun Dai; Xiaoyan Sun 003 (CoRR, 2024)

HuntFUZZ: Enhancing Error Handling Testing through Clustering Based Fuzzing. - Jin Wei; Ping Chen 003; Jun Dai; Xiaoyan Sun 003; Zhihao Zhang; Chang Xu; Yi Wanga (CoRR, 2024)

Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Neural Carrier Articles. - Zhilong Wang; Haizhou Wang; Nanqing Luo; Lan Zhang 008; Xiaoyan Sun 003; Yebo Cao; Peng Liu 005 (CoRR, 2024)

Enabling Practical and Privacy-Preserving Image Processing. - Chao Wang; Shubing Yang; Xiaoyan Sun 003; Jun Dai; Dongfang Zhao 001 (CoRR, 2024)

Knowledge Database or Poison Base? Detecting RAG Poisoning Attack through LLM Activations. - Xue Tan; Hao Luan; Mingyu Luo; Xiaoyan Sun 003; Ping Chen 003; Jun Dai (CoRR, 2024)

Analysis of neural network detectors for network attacks. - Qingtian Zou; Lan Zhang 008; Anoop Singhal; Xiaoyan Sun 003; Peng Liu 005 (J. Comput. Secur., 2024)

Using Explainable AI for Neural Network-Based Network Attack Detection. - Qingtian Zou; Lan Zhang 008; Xiaoyan Sun 003; Anoop Singhal; Peng Liu 005 (Computer, 2024)

Exploring Prompt Patterns for Effective Vulnerability Repair in Real-World Code by Large Language Models. - Yining Luo; Baobao Li; Anoop Singhal; Peiyu Tseng; Lan Zhang 008; Qingtian Zou; Xiaoyan Sun 003; Peng Liu 005 (IWSPA@CODASPY, 2025)

Towards Development of Ready-to-Use Hands-on Labs with Portable Operating Environments for Digital Forensics Education. - Tran Ngoc Bao Huynh; Haowen Xu; Brian Almaguer; Jun Dai; Xiaoyan Sun 003 (COMPSAC, 2025)

What's Done Is Not What's Claimed: Detecting and Interpreting Inconsistencies in App Behaviors. - Chang Yue; Kai Chen 012; Zhixiu Guo; Jun Dai; Xiaoyan Sun 003; Yi Yang 100 (NDSS, 2025)

Optimizing IoT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing. - Tran Ngoc Bao Huynh; Ting Xu; Yinxin Wan; Jun Dai; Xiaoyan Sun 003 (SenSys, 2025)

Strengthening Workforce Education: Excellence in Programming Securely (SWEEPS). - Deborah Kariuki; Ida Ngambeki; Jun Dai; Matt Bishop; Xiaoyan Sun 003; Melissa Dark; Jenny Daugherty; Alex Lowrie; Markus Geissler; Phillip Nico; Arshad Noor (SIGCSE (1), 2025)

HuntFUZZ: Enhancing error handling testing through clustering based fuzzing. - Jin Wei; Ping Chen 003; Jun Dai; Xiaoyan Sun 003; Zhihao Zhang; Chang Xu; Yi Wang (J. Comput. Secur., 2025)

Can AI Fix Buggy Code? Exploring the Use of Large Language Models in Automated Program Repair. - Lan Zhang 008; Anoop Singhal; Qingtian Zou; Xiaoyan Sun 003; Peng Liu 005; Hsiao-Ying Lin (Computer, 2025)