Smartphone Volatile Memory Acquisition for Security Analysis and Forensics Investigation. - Vrizlynn L. L. Thing; Zheng Leong Chua (SEC, 2013)

A Look at Targeted Attacks Through the Lense of an NGO. - Stevens Le Blond; Adina Uritesc; Cédric Gilbert; Zheng Leong Chua; Prateek Saxena; Engin Kirda (USENIX Security Symposium, 2014)

Identifying Arbitrary Memory Access Vulnerabilities in Privilege-Separated Software. - Hong Hu 004; Zheng Leong Chua; Zhenkai Liang; Prateek Saxena (ESORICS (2), 2015)

Automatic Generation of Data-Oriented Exploits. - Hong Hu 004; Zheng Leong Chua; Sendroiu Adrian; Prateek Saxena; Zhenkai Liang (USENIX Security Symposium, 2015)

Preventing Your Faults From Telling Your Secrets: Defenses Against Pigeonhole Attacks. - Shweta Shinde; Zheng Leong Chua; Viswesh Narayanan; Prateek Saxena (CoRR, 2015)

"The Web/Local" Boundary Is Fuzzy: A Security Study of Chrome's Process-based Sandboxing. - Yaoqi Jia; Zheng Leong Chua; Hong Hu 004; Shuo Chen 001; Prateek Saxena; Zhenkai Liang (CCS, 2016)

Preventing Page Faults from Telling Your Secrets. - Shweta Shinde; Zheng Leong Chua; Viswesh Narayanan; Prateek Saxena (AsiaCCS, 2016)

Data-Oriented Programming: On the Expressiveness of Non-control Data Attacks. - Hong Hu 004; Shweta Shinde; Sendroiu Adrian; Zheng Leong Chua; Prateek Saxena; Zhenkai Liang (IEEE Symposium on Security and Privacy, 2016)

Enabling practical experimentation in cyber-security training. - Jian Mao; Zheng Leong Chua; Zhenkai Liang (DSC, 2017)

Neural Nets Can Learn Function Type Signatures From Binaries. - Zheng Leong Chua; Shiqi Shen; Prateek Saxena; Zhenkai Liang (USENIX Security Symposium, 2017)

One Engine To Serve 'em All: Inferring Taint Rules Without Architectural Semantics. - Zheng Leong Chua; Yanhao Wang; Teodora Baluta; Prateek Saxena; Zhenkai Liang; Purui Su (NDSS, 2019)

Fuzzing Program Logic Deeply Hidden in Binary Program Stages. - Yanhao Wang; Zheng Leong Chua; Yuwei Liu; Purui Su; Zhenkai Liang (SANER, 2019)

Understanding Rowhammer Attacks through the Lens of a Unified Reference Framework. - Xiaoxuan Lou; Fan Zhang 010; Zheng Leong Chua; Zhenkai Liang; Yueqiang Cheng; Yajin Zhou (CoRR, 2019)

Scalable Quantitative Verification For Deep Neural Networks. - Teodora Baluta; Zheng Leong Chua; Kuldeep S. Meel; Prateek Saxena (ICSE, 2021)

WATSON: Abstracting Behaviors from Audit Logs via Aggregation of Contextual Semantics. - Jun Zeng 006; Zheng Leong Chua; Yinfang Chen; Kaihang Ji; Zhenkai Liang; Jian Mao (NDSS, 2021)

SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records. - Jun Zeng 006; Xiang Wang 010; Jiahao Liu; Yinfang Chen; Zhenkai Liang; Tat-Seng Chua; Zheng Leong Chua (SP, 2022)

FlowMatrix: GPU-Assisted Information-Flow Analysis through Matrix-Based Representation. - Kaihang Ji; Jun Zeng 006; Yuancheng Jiang; Zhenkai Liang; Zheng Leong Chua; Prateek Saxena; Abhik Roychoudhury (USENIX Security Symposium, 2022)