Data Leak Detection as a Service. - Xiaokui Shu; Danfeng (Daphne) Yao (SecureComm, 2012)

Robustness of keystroke-dynamics based biometrics against synthetic forgeries. - Deian Stefan; Xiaokui Shu; Danfeng (Daphne) Yao (Comput. Secur., 2012)

Massive distributed and parallel log analysis for organizational security. - Xiaokui Shu; John Smiy; Danfeng (Daphne) Yao; Heshan Lin (GLOBECOM Workshops, 2013)

Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths. - Xiaokui Shu; Danfeng Yao; Naren Ramakrishnan (CCS, 2015)

Privacy-Preserving Scanning of Big Content for Sensitive Data Exposure with MapReduce. - Fang Liu; Xiaokui Shu; Danfeng Yao; Ali Raza Butt (CODASPY, 2015)

Rapid Screening of Transformed Data Leaks with Efficient Algorithms and Parallel Computing. - Xiaokui Shu; Jing Zhang 039; Danfeng Yao; Wu-chun Feng (CODASPY, 2015)

Rapid and parallel content screening for detecting transformed data exposure. - Xiaokui Shu; Jing Zhang 039; Danfeng Yao; Wu-chun Feng (INFOCOM Workshops, 2015)

A Formal Framework for Program Anomaly Detection. - Xiaokui Shu; Danfeng (Daphne) Yao; Barbara G. Ryder (RAID, 2015)

Profiling user-trigger dependence for Android malware detection. - Karim O. Elish; Xiaokui Shu; Danfeng (Daphne) Yao; Barbara G. Ryder; Xuxian Jiang (Comput. Secur., 2015)

Privacy-Preserving Detection of Sensitive Data Exposure. - Xiaokui Shu; Danfeng Yao; Elisa Bertino (IEEE Trans. Inf. Forensics Secur., 2015)

DECT: Distributed Evolving Context Tree for Understanding User Behavior Pattern Evolution. - Xiaokui Shu; Nikolay Laptev; Danfeng (Daphne) Yao (AAAI, 2016)

Program Anomaly Detection: Methodology and Practices. - Xiaokui Shu; Danfeng Yao (CCS, 2016)

DECT: Distributed Evolving Context Tree for Mining Web Behavior Evolution. - Xiaokui Shu; Nikolay Laptev; Danfeng Yao (EDBT, 2016)

Fast Detection of Transformed Data Leaks. - Xiaokui Shu; Jing Zhang 039; Danfeng (Daphne) Yao; Wu-chun Feng (IEEE Trans. Inf. Forensics Secur., 2016)

Threat Detection in Program Execution and Data Movement: Theory and Practice. - Xiaokui Shu (2016)

Breaking the Target: An Analysis of Target Data Breach and Lessons Learned. - Xiaokui Shu; Ke Tian; Andrew Ciambrone; Danfeng Yao (CoRR, 2017)

Long-Span Program Behavior Modeling and Attack Detection. - Xiaokui Shu; Danfeng (Daphne) Yao; Naren Ramakrishnan; Trent Jaeger (ACM Trans. Priv. Secur., 2017)

Anomaly Detection as a Service: Challenges, Advances, and Opportunities - Danfeng (Daphne) Yao; Xiaokui Shu; Long Cheng 005; Salvatore J. Stolfo (Anomaly Detection as a Service, 2017)

Threat Intelligence Computing. - Xiaokui Shu; Frederico Araujo; Douglas Lee Schales; Marc Ph. Stoecklin; Jiyong Jang; Heqing Huang 001; Josyula R. Rao (CCS, 2018)

Towards an Open Format for Scalable System Telemetry. - Teryl Taylor; Frederico Araujo; Xiaokui Shu (IEEE BigData, 2020)

Scarecrow: Deactivating Evasive Malware via Its Own Evasive Logic. - Jialong Zhang 001; Zhongshu Gu; Jiyong Jang; Dhilung Kirat; Marc Ph. Stoecklin; Xiaokui Shu; Heqing Huang 001 (DSN, 2020)

Evidential Cyber Threat Hunting. - Frederico Araujo; Dhilung Kirat; Xiaokui Shu; Teryl Taylor; Jiyong Jang (CoRR, 2021)

RAPID: Real-Time Alert Investigation with Context-aware Prioritization for Efficient Threat Discovery. - Yushan Liu 004; Xiaokui Shu; Yixin Sun; Jiyong Jang; Prateek Mittal (ACSAC, 2022)

Debugging Malware Classification Models Based on Event Logs with Explainable AI. - Joon-Young Gwak; Priti Prabhakar Wakodikar; Meng Wang; Guanhua Yan; Xiaokui Shu; Scott D. Stoller; Ping Yang 002 (ICDM (Workshops), 2023)

EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection. - Isaiah J. King; Xiaokui Shu; Jiyong Jang; Kevin Eykholt; Taesung Lee; H. Howie Huang (RAID, 2023)

Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics. - Jiacen Xu; Xiaokui Shu; Zhou Li 001 (SP, 2024)