Mapping kernel objects to enable systematic integrity checking. - Martim Carbone; Weidong Cui; Long Lu; Wenke Lee; Marcus Peinado; Xuxian Jiang (CCS, 2009)

BLADE: Slashing the Invisible Channel of Drive-by Download Malware. - Long Lu; Vinod Yegneswaran; Phillip A. Porras; Wenke Lee (RAID, 2009)

Cooperative communications with relay selection in wireless sensor networks. - Li Sun 001; Taiyi Zhang; Long Lu; Hao Niu 001 (IEEE Trans. Consumer Electron., 2009)

BLADE: an attack-agnostic approach for preventing drive-by malware infections. - Long Lu; Vinod Yegneswaran; Phillip A. Porras; Wenke Lee (CCS, 2010)

On the Combination of Cooperative Diversity and Multiuser Diversity in Multi-Source Multi-Relay Wireless Networks. - Li Sun 001; Taiyi Zhang; Long Lu; Hao Niu 001 (IEEE Signal Process. Lett., 2010)

SURF: detecting and measuring search poisoning. - Long Lu; Roberto Perdisci; Wenke Lee (CCS, 2011)

CHEX: statically vetting Android apps for component hijacking vulnerabilities. - Long Lu; Zhichun Li; Zhenyu Wu 003; Wenke Lee; Guofei Jiang (CCS, 2012)

Robust scareware image detection. - Christian Seifert; Jack W. Stokes; Christina Colcernian; John C. Platt; Long Lu (ICASSP, 2013)

Jekyll on iOS: When Benign Apps Become Evil. - Tielei Wang; Kangjie Lu; Long Lu; Simon P. Chung; Wenke Lee (USENIX Security Symposium, 2013)

Reinforcing the weakest link in cyber security: securing systems and software against attacks targeting unwary users. - Long Lu (2013)

From Zygote to Morula: Fortifying Weakened ASLR on Android. - Byoungyoung Lee; Long Lu; Tielei Wang; Taesoo Kim; Wenke Lee (IEEE Symposium on Security and Privacy, 2014)

WebCapsule: Towards a Lightweight Forensic Engine for Web Browsers. - Christopher Neasbitt; Bo Li 058; Roberto Perdisci; Long Lu; Kapil Singh; Kang Li 001 (CCS, 2015)

Preventing Use-after-free with Dangling Pointers Nullification. - Byoungyoung Lee; Chengyu Song; Yeongjin Jang; Tielei Wang; Taesoo Kim; Long Lu; Wenke Lee (NDSS, 2015)

Checking More and Alerting Less: Detecting Privacy Leakages via Enhanced Data-flow Analysis and Peer Voting. - Kangjie Lu; Zhichun Li; Vasileios P. Kemerlis; Zhenyu Wu 003; Long Lu; Cong Zheng; Zhiyun Qian; Wenke Lee; Guofei Jiang (NDSS, 2015)

Sixth Annual ACM CCS Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM 2016). - Long Lu; Mohammad Mannan (CCS, 2016)

Remix: On-demand Live Randomization. - Yue Chen; Zhi Wang 004; David B. Whalley; Long Lu (CODASPY, 2016)

CASE: Comprehensive Application Security Enforcement on COTS Mobile Devices. - Suwen Zhu; Long Lu; Kapil Singh (MobiSys, 2016)

Shreds: Fine-Grained Execution Units with Private Memory. - Yaohui Chen 001; Sebassujeen Reymondjohnson; Zhichuang Sun; Long Lu (IEEE Symposium on Security and Privacy, 2016)

(t, p)-Threshold point function secret sharing scheme based on polynomial interpolation and its application. - Dazeng Yuan; Mingxing He; Shengke Zeng; Xiao Li; Long Lu (UCC, 2016)

Secure Integration of Web Content and Applications on Commodity Mobile Operating Systems. - Drew Davidson; Yaohui Chen 001; Franklin George; Long Lu; Somesh Jha (AsiaCCS, 2017)

Where Is the Weakest Link? A Study on Security Discrepancies Between Android Apps and Their Website Counterparts. - Arash Alavi 001; Alan Quach; Hang Zhang 012; Bryan Marsh; Farhan Ul Haq; Zhiyun Qian; Long Lu; Rajiv Gupta 001 (PAM, 2017)

NORAX: Enabling Execute-Only Memory for COTS Binaries on AArch64. - Yaohui Chen 001; Dongli Zhang; Ruowen Wang; Rui Qiao; Ahmed M. Azab; Long Lu; Hayawardh Vijayakumar; Wenbo Shen (IEEE Symposium on Security and Privacy, 2017)

Augmented Reality: New Technologies for Building Visualized Hospital Knowledge Management Systems. - Long Lu; Wang Zhao (ICSH, 2018)

VButton: Practical Attestation of User-driven Operations in Mobile Apps. - Wenhao Li; Shiyu Luo; Zhichuang Sun; Yubin Xia; Long Lu; Haibo Chen 001; Binyu Zang; Haibing Guan (MobiSys, 2018)

InstaGuard: Instantly Deployable Hot-patches for Vulnerable System Programs on Android. - Yaohui Chen 001; Yuping Li; Long Lu; Yueh-Hsun Lin; Hayawardh Vijayakumar; Zhi Wang 004; Xinming Ou (NDSS, 2018)

Compiler-Assisted Code Randomization. - Hyungjoon Koo; Yaohui Chen 001; Long Lu; Vasileios P. Kemerlis; Michalis Polychronakis (IEEE Symposium on Security and Privacy, 2018)

An Empirical Study of Web Resource Manipulation in Real-world Mobile Applications. - Xiaohan Zhang 001; Yuan Zhang 009; Qianqian Mo; Hao Xia; Zhemin Yang; Min Yang 002; Xiaofeng Wang 006; Long Lu; Hai-Xin Duan (USENIX Security Symposium, 2018)

OEI: Operation Execution Integrity for Embedded Devices. - Zhichuang Sun; Bo Feng 002; Long Lu; Somesh Jha (CoRR, 2018)

StreamBox-TZ: A Secure IoT Analytics Engine at the Edge. - Heejin Park; Shuang Zhai; Long Lu; Felix Xiaozhu Lin (CoRR, 2018)

Big Data in Health Care: Applications and Challenges. - Liang Hong; Mengqi Luo; Ruixue Wang; Peixin Lu; Wei Lu; Long Lu (Data Inf. Manag., 2018)

Detecting (absent) app-to-app authentication on cross-device short-distance channels. - Stefano Cristalli; Long Lu; Danilo Bruschi; Andrea Lanzi (ACSAC, 2019)

PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary. - Yaohui Chen 001; Dongliang Mu; Jun Xu 024; Zhichuang Sun; Wenbo Shen; Xinyu Xing 001; Long Lu; Bing Mao 001 (AsiaCCS, 2019)

Research on Three-Dimensional Reconstruction of Brain Image Features Based on Augmented Reality Technology. - Long Lu; Wang Zhao (ICSH, 2019)

An Analysis of Malware Trends in Enterprise Networks. - Abbas Acar; Long Lu; A. Selcuk Uluagac; Engin Kirda (ISC, 2019)

StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone. - Heejin Park; Shuang Zhai; Long Lu; Felix Xiaozhu Lin (USENIX ATC, 2019)

TEEv: virtualizing trusted execution environments on mobile platforms. - Wenhao Li; Yubin Xia; Long Lu; Haibo Chen 001; Binyu Zang (VEE, 2019)

P2IM: Scalable and Hardware-independent Firmware Testing via Automatic Peripheral Interface Modeling (extended version). - Bo Feng 002; Alejandro Mera; Long Lu (CoRR, 2019)

FEAST'20: Fifth Workshop on Forming an Ecosystem Around Software Transformation. - Kevin W. Hamlen; Long Lu (CCS, 2020)

Design Of ASD Subtyping Approach based on Multi-Omics Data to Promote Personalized Healthcare. - Tao Chen; Peixin Lu; Long Lu (HICSS, 2020)

Introduction to the Minitrack on Data-Driven Smart Health in Asia Pacific. - Feicheng Ma 001; Jiang Wu; Long Lu (HICSS, 2020)

MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing. - Yaohui Chen 001; Mansour Ahmadi; Reza Mirzazade Farkhani; Boyu Wang; Long Lu (RAID, 2020)

SAVIOR: Towards Bug-Driven Hybrid Testing. - Yaohui Chen 001; Peng Li; Jun Xu 024; Shengjian Guo; Rundong Zhou; Yulong Zhang; Tao Wei 002; Long Lu (SP, 2020)

OAT: Attesting Operation Integrity of Embedded Devices. - Zhichuang Sun; Bo Feng 002; Long Lu; Somesh Jha (SP, 2020)

P2IM: Scalable and Hardware-independent Firmware Testing via Automatic Peripheral Interface Modeling. - Bo Feng 002; Alejandro Mera; Long Lu (USENIX Security Symposium, 2020)

Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps. - Zhichuang Sun; Ruimin Sun; Long Lu (CoRR, 2020)

DICE: Automatic Emulation of DMA Input Channels for Dynamic Firmware Analysis. - Alejandro Mera; Bo Feng 002; Long Lu; Engin Kirda; William K. Robertson (CoRR, 2020)

ShadowNet: A Secure and Efficient System for On-device Model Inference. - Zhichuang Sun; Ruimin Sun; Long Lu; Somesh Jha (CoRR, 2020)

Big data approaches to develop a comprehensive and accurate tool aimed at improving autism spectrum disorder diagnosis and subtype stratification. - Tao Chen; Tanya Froehlich; Tingyu Li; Long Lu (Libr. Hi Tech, 2020)

Comprehensive analysis of potential prognostic biomarker in gliomas. - Zunpeng Yu; Long Lu (Libr. Hi Tech, 2020)

Research and development of autism diagnosis information system based on deep convolution neural network and facial expression data. - Wang Zhao; Long Lu (Libr. Hi Tech, 2020)

Consumer health information needs in China - a case study of depression based on a Social Q&A community. - Wang Zhao; Peixin Lu; Siwei Yu 001; Long Lu (BMC Medical Informatics Decis. Mak., 2020)

SoK: Enabling Security Analyses of Embedded Systems via Rehosting. - Andrew Fasano; Tiemoko Ballo; Marius Muench; Tim Leek; Alexander Bulekov; Brendan Dolan-Gavitt; Manuel Egele; Aurélien Francillon; Long Lu; Nick Gregory; Davide Balzarotti; William Robertson 002 (AsiaCCS, 2021)

SCRUTINIZER: Detecting Code Reuse in Malware via Decompilation and Machine Learning. - Omid Mirzaei; Roman Vasilenko; Engin Kirda; Long Lu; Amin Kharraz (DIMVA, 2021)

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses. - Ruimin Sun; Alejandro Mera; Long Lu; David R. Choffnes (EuroS&P, 2021)

Browserprint: an Analysis of the Impact of Browser Features on Fingerprintability and Web Privacy. - Seyed Ali Akhavani; Jordan Jueckstock; Junhua Su; Alexandros Kapravelos; Engin Kirda; Long Lu (ISC, 2021)

KUBO: Precise and Scalable Detection of User-triggerable Undefined Behavior Bugs in OS Kernel. - Changming Liu; Yaohui Chen 001; Long Lu (NDSS, 2021)

DICE: Automatic Emulation of DMA Input Channels for Dynamic Firmware Analysis. - Alejandro Mera; Bo Feng 002; Long Lu; Engin Kirda (SP, 2021)

Finding Bugs Using Your Own Code: Detecting Functionally-similar yet Inconsistent Code. - Mansour Ahmadi; Reza Mirzazade Farkhani; Ryan Williams; Long Lu (USENIX Security Symposium, 2021)

PTAuth: Temporal Memory Safety via Robust Points-to Authentication. - Reza Mirzazade Farkhani; Mansour Ahmadi; Long Lu (USENIX Security Symposium, 2021)

Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps. - Zhichuang Sun; Ruimin Sun; Long Lu; Alan Mislove (USENIX Security Symposium, 2021)

Splicing learning: A novel few-shot learning approach. - Lianting Hu; Huiying Liang; Long Lu (Inf. Sci., 2021)

D-Box: DMA-enabled Compartmentalization for Embedded Applications. - Alejandro Mera; Yi Hui Chen; Ruimin Sun; Engin Kirda; Long Lu (NDSS, 2022)

Breaking Embedded Software Homogeneity with Protocol Mutations. - Tongwei Ren; Ryan Williams; Sirshendu Ganguly; Lorenzo De Carli; Long Lu (SecureComm, 2022)

JChainz: Automatic Detection of Deserialization Vulnerabilities for the Java Language. - Luca Buccioli; Stefano Cristalli; Edoardo Vignati; Lorenzo Nava; Daniele Badagliacca; Danilo Bruschi; Long Lu; Andrea Lanzi (STM, 2022)

Environmental efficiency assessment of China's integrated power system under the assumption of semi-disposability. - Bai-Chen Xie; Long Lu; Na Duan (Comput. Ind. Eng., 2022)

Cutting-Splicing data augmentation: A novel technology for medical image segmentation. - Lianting Hu; Huiying Liang; Jiajie Tang; Xin Li; Li Huang; Long Lu (CoRR, 2022)

A novel self-learning semi-supervised deep learning network to detect fake news on social media. - Xin Li; Peixin Lu; Lianting Hu; XiaoGuang Wang; Long Lu (Multim. Tools Appl., 2022)

Integrating genomic and resting State fMRI for efficient autism spectrum disorder classification. - Peixin Lu; Xin Li; Lianting Hu; Long Lu (Multim. Tools Appl., 2022)

Guided Feature Identification and Removal for Resource-constrained Firmware. - Ryan Williams; Tongwei Ren; Lorenzo De Carli; Long Lu; Gillian Smith 001 (ACM Trans. Softw. Eng. Methodol., 2022)

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks. - Zhichuang Sun; Ruimin Sun; Changming Liu; Amrita Roy Chowdhury 001; Long Lu; Somesh Jha (SP, 2023)

A Study of Multi-Factor and Risk-Based Authentication Availability. - Anthony Gavazzi; Ryan Williams; Engin Kirda; Long Lu; Andre King; Andy Davis; Tim Leek (USENIX Security Symposium, 2023)

A Deep Learning-Based Brain Age Prediction Model for Preterm Infants via Neonatal MRI. - Jiajie Tang; Pu Yang; Bingbing Xie; Cong Wei; Lianting Hu; Shouyi Wang; Yuxuan Jiang 013; Ruizhuo Li; Hang Zhou; Haiqing Xu; Qirong Wan; Jin Han; et al. (IEEE Access, 2023)

A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography. - Jiajie Tang; Yongen Liang; Yuxuan Jiang 013; Jinrong Liu; Rui Zhang; Danping Huang; Chengcheng Pang; Chen Huang; Dongni Luo; Xue Zhou; Ruizhuo Li; Kanghui Zhang; et al. (npj Digit. Medicine, 2023)

A novel prediction method for vulnerability outbreak trend. - Junjun Guo; Kai Long; Kunpeng Yang; Kaida Jiang; Long Lu; Changyuan Wang (Comput. Electr. Eng., 2023)

CO3: Concolic Co-execution for Firmware. - Changming Liu; Alejandro Mera; Engin Kirda; Meng Xu; Long Lu (USENIX Security Symposium, 2024)

SHiFT: Semi-hosted Fuzz Testing for Embedded Applications. - Alejandro Mera; Changming Liu; Ruimin Sun; Engin Kirda; Long Lu (USENIX Security Symposium, 2024)

AIM: Automatic Interrupt Modeling for Dynamic Firmware Analysis. - Bo Feng 002; Meng Luo 002; Changming Liu; Long Lu; Engin Kirda (IEEE Trans. Dependable Secur. Comput., 2024)

On the Complexity of the Web's PKI: Evaluating Certificate Validation of Mobile Browsers. - Meng Luo 002; Bo Feng 002; Long Lu; Engin Kirda; Kui Ren 001 (IEEE Trans. Dependable Secur. Comput., 2024)

A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer's disease. - Peixin Lu; Lianting Hu; Alexis Mitelpunkt; Surbhi Bhatnagar; Long Lu; Huiying Liang (Biomed. Signal Process. Control., 2024)