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Long Lu
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2020 – today
- 2024
- [j18]Peixin Lu
, Lianting Hu
A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer's disease. Biomed. Signal Process. Control. 88(Part B): 105669 (2024) - [j17]Meng Luo
On the Complexity of the Web's PKI: Evaluating Certificate Validation of Mobile Browsers. IEEE Trans. Dependable Secur. Comput. 21(1): 419-433 (2024) - [j16]Bo Feng
AIM: Automatic Interrupt Modeling for Dynamic Firmware Analysis. IEEE Trans. Dependable Secur. Comput. 21(4): 3866-3882 (2024) - [c53]Changming Liu, Alejandro Mera, Engin Kirda, Meng Xu, Long Lu:
CO3: Concolic Co-execution for Firmware. USENIX Security Symposium 2024 - [c52]Alejandro Mera, Changming Liu, Ruimin Sun, Engin Kirda, Long Lu:
SHiFT: Semi-hosted Fuzz Testing for Embedded Applications. USENIX Security Symposium 2024 - 2023
- [j15]Jiajie Tang
A Deep Learning-Based Brain Age Prediction Model for Preterm Infants via Neonatal MRI. IEEE Access 11: 68994-69004 (2023) - [j14]Junjun Guo
A novel prediction method for vulnerability outbreak trend. Comput. Electr. Eng. 108: 108743 (2023) - [j13]Jiajie Tang
A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography. npj Digit. Medicine 6 (2023) - [c51]Zhichuang Sun, Ruimin Sun
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks. SP 2023: 1596-1612 - [c50]Anthony Gavazzi, Ryan Williams, Engin Kirda, Long Lu, Andre King, Andy Davis, Tim Leek:
A Study of Multi-Factor and Risk-Based Authentication Availability. USENIX Security Symposium 2023: 2043-2060 - [i15]Bo Feng, Meng Luo, Changming Liu, Long Lu, Engin Kirda:
AIM: Automatic Interrupt Modeling for Dynamic Firmware Analysis. CoRR abs/2312.01195 (2023) - 2022
- [j12]Bai-Chen Xie, Long Lu, Na Duan
Environmental efficiency assessment of China's integrated power system under the assumption of semi-disposability. Comput. Ind. Eng. 167: 108023 (2022) - [j11]Peixin Lu, Xin Li, Lianting Hu
Integrating genomic and resting State fMRI for efficient autism spectrum disorder classification. Multim. Tools Appl. 81(14): 19183-19194 (2022) - [j10]Xin Li, Peixin Lu, Lianting Hu
A novel self-learning semi-supervised deep learning network to detect fake news on social media. Multim. Tools Appl. 81(14): 19341-19349 (2022) - [j9]Ryan Williams
Guided Feature Identification and Removal for Resource-constrained Firmware. ACM Trans. Softw. Eng. Methodol. 31(2): 28:1-28:25 (2022) - [c49]Alejandro Mera, Yi Hui Chen, Ruimin Sun, Engin Kirda, Long Lu:
D-Box: DMA-enabled Compartmentalization for Embedded Applications. NDSS 2022 - [c48]Tongwei Ren, Ryan Williams, Sirshendu Ganguly, Lorenzo De Carli, Long Lu:
Breaking Embedded Software Homogeneity with Protocol Mutations. SecureComm 2022: 770-790 - [c47]Luca Buccioli
JChainz: Automatic Detection of Deserialization Vulnerabilities for the Java Language. STM 2022: 136-155 - [i14]Alejandro Mera, Yi Hui Chen, Ruimin Sun, Engin Kirda, Long Lu:
D-Box: DMA-enabled Compartmentalization for Embedded Applications. CoRR abs/2201.05199 (2022) - [i13]Lianting Hu, Huiying Liang, Jiajie Tang, Xin Li, Li Huang, Long Lu:
Cutting-Splicing data augmentation: A novel technology for medical image segmentation. CoRR abs/2210.09099 (2022) - 2021
- [j8]Lianting Hu
Splicing learning: A novel few-shot learning approach. Inf. Sci. 552: 17-28 (2021) - [c46]Andrew Fasano
SoK: Enabling Security Analyses of Embedded Systems via Rehosting. AsiaCCS 2021: 687-701 - [c45]Omid Mirzaei, Roman Vasilenko, Engin Kirda, Long Lu, Amin Kharraz:
SCRUTINIZER: Detecting Code Reuse in Malware via Decompilation and Machine Learning. DIMVA 2021: 130-150 - [c44]Ruimin Sun
SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses. EuroS&P 2021: 385-402 - [c43]Seyed Ali Akhavani, Jordan Jueckstock, Junhua Su, Alexandros Kapravelos, Engin Kirda, Long Lu:
Browserprint: an Analysis of the Impact of Browser Features on Fingerprintability and Web Privacy. ISC 2021: 161-176 - [c42]Changming Liu, Yaohui Chen, Long Lu:
KUBO: Precise and Scalable Detection of User-triggerable Undefined Behavior Bugs in OS Kernel. NDSS 2021 - [c41]Alejandro Mera
DICE: Automatic Emulation of DMA Input Channels for Dynamic Firmware Analysis. SP 2021: 1938-1954 - [c40]Reza Mirzazade Farkhani, Mansour Ahmadi, Long Lu:
PTAuth: Temporal Memory Safety via Robust Points-to Authentication. USENIX Security Symposium 2021: 1037-1054 - [c39]Zhichuang Sun, Ruimin Sun, Long Lu, Alan Mislove:
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps. USENIX Security Symposium 2021: 1955-1972 - [c38]Mansour Ahmadi, Reza Mirzazade Farkhani, Ryan Williams, Long Lu:
Finding Bugs Using Your Own Code: Detecting Functionally-similar yet Inconsistent Code. USENIX Security Symposium 2021: 2025-2040 - 2020
- [j7]Zunpeng Yu, Long Lu:
Comprehensive analysis of potential prognostic biomarker in gliomas. Libr. Hi Tech 38(4): 783-797 (2020) - [j6]Wang Zhao
Research and development of autism diagnosis information system based on deep convolution neural network and facial expression data. Libr. Hi Tech 38(4): 799-817 (2020) - [j5]Tao Chen, Tanya Froehlich, Tingyu Li, Long Lu:
Big data approaches to develop a comprehensive and accurate tool aimed at improving autism spectrum disorder diagnosis and subtype stratification. Libr. Hi Tech 38(4): 819-833 (2020) - [j4]Wang Zhao, Peixin Lu, Siwei Yu, Long Lu:
Consumer health information needs in China - a case study of depression based on a Social Q&A community. BMC Medical Informatics Decis. Mak. 20-S(3): 130 (2020) - [c37]Kevin W. Hamlen, Long Lu:
FEAST'20: Fifth Workshop on Forming an Ecosystem Around Software Transformation. CCS 2020: 2149-2150 - [c36]Tao Chen, Peixin Lu, Long Lu:
Design Of ASD Subtyping Approach based on Multi-Omics Data to Promote Personalized Healthcare. HICSS 2020: 1-6 - [c35]Feicheng Ma, Jiang Wu, Long Lu:
Introduction to the Minitrack on Data-Driven Smart Health in Asia Pacific. HICSS 2020: 1-2 - [c34]Yaohui Chen, Mansour Ahmadi, Reza Mirzazade Farkhani, Boyu Wang, Long Lu:
MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing. RAID 2020: 77-92 - [c33]Zhichuang Sun, Bo Feng, Long Lu, Somesh Jha:
OAT: Attesting Operation Integrity of Embedded Devices. SP 2020: 1433-1449 - [c32]Yaohui Chen, Peng Li, Jun Xu, Shengjian Guo, Rundong Zhou, Yulong Zhang, Tao Wei, Long Lu:
SAVIOR: Towards Bug-Driven Hybrid Testing. SP 2020: 1580-1596 - [c31]Bo Feng, Alejandro Mera, Long Lu:
P2IM: Scalable and Hardware-independent Firmware Testing via Automatic Peripheral Interface Modeling. USENIX Security Symposium 2020: 1237-1254 - [i12]Zhichuang Sun, Ruimin Sun, Long Lu:
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps. CoRR abs/2002.07687 (2020) - [i11]Reza Mirzazade Farkhani, Mansour Ahmadi, Long Lu:
PTAuth: Temporal Memory Safety via Robust Points-to Authentication. CoRR abs/2002.07936 (2020) - [i10]Yaohui Chen, Mansour Ahmadi, Reza Mirzazade Farkhani, Boyu Wang, Long Lu:
MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing. CoRR abs/2002.08568 (2020) - [i9]Ruimin Sun, Alejandro Mera, Long Lu, David R. Choffnes:
SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses. CoRR abs/2006.04806 (2020) - [i8]Alejandro Mera, Bo Feng, Long Lu, Engin Kirda, William K. Robertson:
DICE: Automatic Emulation of DMA Input Channels for Dynamic Firmware Analysis. CoRR abs/2007.01502 (2020) - [i7]Zhichuang Sun, Ruimin Sun, Long Lu, Somesh Jha:
ShadowNet: A Secure and Efficient System for On-device Model Inference. CoRR abs/2011.05905 (2020)
2010 – 2019
- 2019
- [c30]Stefano Cristalli
Detecting (absent) app-to-app authentication on cross-device short-distance channels. ACSAC 2019: 328-338 - [c29]Yaohui Chen, Dongliang Mu, Jun Xu, Zhichuang Sun, Wenbo Shen, Xinyu Xing, Long Lu, Bing Mao:
PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary. AsiaCCS 2019: 633-645 - [c28]Long Lu, Wang Zhao:
Research on Three-Dimensional Reconstruction of Brain Image Features Based on Augmented Reality Technology. ICSH 2019: 39-47 - [c27]Abbas Acar
An Analysis of Malware Trends in Enterprise Networks. ISC 2019: 360-380 - [c26]Heejin Park, Shuang Zhai, Long Lu, Felix Xiaozhu Lin:
StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone. USENIX ATC 2019: 537-554 - [c25]Wenhao Li, Yubin Xia, Long Lu, Haibo Chen, Binyu Zang:
TEEv: virtualizing trusted execution environments on mobile platforms. VEE 2019: 2-16 - [i6]Yaohui Chen, Dongliang Mu, Jun Xu, Zhichuang Sun, Wenbo Shen, Xinyu Xing, Long Lu, Bing Mao:
PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary. CoRR abs/1905.10499 (2019) - [i5]Yaohui Chen, Peng Li, Jun Xu, Shengjian Guo, Rundong Zhou, Yulong Zhang, Tao Wei, Long Lu:
SAVIOR: Towards Bug-Driven Hybrid Testing. CoRR abs/1906.07327 (2019) - [i4]Bo Feng, Alejandro Mera, Long Lu:
P2IM: Scalable and Hardware-independent Firmware Testing via Automatic Peripheral Interface Modeling (extended version). CoRR abs/1909.06472 (2019) - [i3]Abbas Acar, Long Lu, A. Selcuk Uluagac, Engin Kirda:
An Analysis of Malware Trends in Enterprise Networks. CoRR abs/1910.00508 (2019) - 2018
- [j3]Liang Hong, Mengqi Luo, Ruixue Wang, Peixin Lu, Wei Lu, Long Lu:
Big Data in Health Care: Applications and Challenges. Data Inf. Manag. 2(3): 175-197 (2018) - [c24]Long Lu, Wang Zhao:
Augmented Reality: New Technologies for Building Visualized Hospital Knowledge Management Systems. ICSH 2018: 15-25 - [c23]Wenhao Li, Shiyu Luo, Zhichuang Sun, Yubin Xia, Long Lu, Haibo Chen, Binyu Zang, Haibing Guan:
VButton: Practical Attestation of User-driven Operations in Mobile Apps. MobiSys 2018: 28-40 - [c22]Yaohui Chen, Yuping Li, Long Lu, Yueh-Hsun Lin, Hayawardh Vijayakumar, Zhi Wang, Xinming Ou:
InstaGuard: Instantly Deployable Hot-patches for Vulnerable System Programs on Android. NDSS 2018 - [c21]Hyungjoon Koo
Compiler-Assisted Code Randomization. IEEE Symposium on Security and Privacy 2018: 461-477 - [c20]Xiaohan Zhang, Yuan Zhang, Qianqian Mo, Hao Xia, Zhemin Yang, Min Yang, Xiaofeng Wang, Long Lu, Hai-Xin Duan:
An Empirical Study of Web Resource Manipulation in Real-world Mobile Applications. USENIX Security Symposium 2018: 1183-1198 - [i2]Zhichuang Sun, Bo Feng, Long Lu, Somesh Jha:
OEI: Operation Execution Integrity for Embedded Devices. CoRR abs/1802.03462 (2018) - [i1]Heejin Park, Shuang Zhai, Long Lu, Felix Xiaozhu Lin:
StreamBox-TZ: A Secure IoT Analytics Engine at the Edge. CoRR abs/1808.05078 (2018) - 2017
- [c19]Drew Davidson, Yaohui Chen, Franklin George, Long Lu, Somesh Jha:
Secure Integration of Web Content and Applications on Commodity Mobile Operating Systems. AsiaCCS 2017: 652-665 - [c18]Arash Alavi, Alan Quach, Hang Zhang, Bryan Marsh, Farhan Ul Haq, Zhiyun Qian
Where Is the Weakest Link? A Study on Security Discrepancies Between Android Apps and Their Website Counterparts. PAM 2017: 100-112 - [c17]Yaohui Chen, Dongli Zhang, Ruowen Wang, Rui Qiao, Ahmed M. Azab, Long Lu, Hayawardh Vijayakumar, Wenbo Shen:
NORAX: Enabling Execute-Only Memory for COTS Binaries on AArch64. IEEE Symposium on Security and Privacy 2017: 304-319 - 2016
- [c16]Long Lu, Mohammad Mannan:
Sixth Annual ACM CCS Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM 2016). CCS 2016: 1873-1874 - [c15]Yue Chen, Zhi Wang, David B. Whalley, Long Lu:
Remix: On-demand Live Randomization. CODASPY 2016: 50-61 - [c14]Suwen Zhu, Long Lu, Kapil Singh:
CASE: Comprehensive Application Security Enforcement on COTS Mobile Devices. MobiSys 2016: 375-386 - [c13]Yaohui Chen, Sebassujeen Reymondjohnson, Zhichuang Sun, Long Lu:
Shreds: Fine-Grained Execution Units with Private Memory. IEEE Symposium on Security and Privacy 2016: 56-71 - [c12]Dazeng Yuan, Mingxing He, Shengke Zeng, Xiao Li, Long Lu:
(t, p)-Threshold point function secret sharing scheme based on polynomial interpolation and its application. UCC 2016: 269-275 - [e1]Long Lu, Mohammad Mannan:
Proceedings of the 6th Workshop on Security and Privacy in Smartphones and Mobile Devices, SPSM@CCS 2016, Vienna, Austria, October 24, 2016. ACM 2016, ISBN 978-1-4503-4564-4 [contents] - 2015
- [c11]Christopher Neasbitt, Bo Li, Roberto Perdisci
WebCapsule: Towards a Lightweight Forensic Engine for Web Browsers. CCS 2015: 133-145 - [c10]Byoungyoung Lee, Chengyu Song, Yeongjin Jang, Tielei Wang, Taesoo Kim, Long Lu, Wenke Lee:
Preventing Use-after-free with Dangling Pointers Nullification. NDSS 2015 - [c9]Kangjie Lu, Zhichun Li, Vasileios P. Kemerlis, Zhenyu Wu, Long Lu, Cong Zheng, Zhiyun Qian, Wenke Lee, Guofei Jiang:
Checking More and Alerting Less: Detecting Privacy Leakages via Enhanced Data-flow Analysis and Peer Voting. NDSS 2015 - 2014
- [c8]Byoungyoung Lee, Long Lu, Tielei Wang, Taesoo Kim, Wenke Lee:
From Zygote to Morula: Fortifying Weakened ASLR on Android. IEEE Symposium on Security and Privacy 2014: 424-439 - 2013
- [c7]Christian Seifert, Jack W. Stokes, Christina Colcernian, John C. Platt, Long Lu:
Robust scareware image detection. ICASSP 2013: 2920-2924 - [c6]Tielei Wang, Kangjie Lu, Long Lu, Simon P. Chung, Wenke Lee:
Jekyll on iOS: When Benign Apps Become Evil. USENIX Security Symposium 2013: 559-572 - 2012
- [c5]Long Lu, Zhichun Li, Zhenyu Wu, Wenke Lee, Guofei Jiang:
CHEX: statically vetting Android apps for component hijacking vulnerabilities. CCS 2012: 229-240 - 2011
- [c4]Long Lu, Roberto Perdisci
SURF: detecting and measuring search poisoning. CCS 2011: 467-476 - 2010
- [j2]Li Sun, Taiyi Zhang, Long Lu, Hao Niu:
On the Combination of Cooperative Diversity and Multiuser Diversity in Multi-Source Multi-Relay Wireless Networks. IEEE Signal Process. Lett. 17(6): 535-538 (2010) - [c3]Long Lu, Vinod Yegneswaran, Phillip A. Porras, Wenke Lee:
BLADE: an attack-agnostic approach for preventing drive-by malware infections. CCS 2010: 440-450
2000 – 2009
- 2009
- [j1]Li Sun, Taiyi Zhang, Long Lu, Hao Niu:
Cooperative communications with relay selection in wireless sensor networks. IEEE Trans. Consumer Electron. 55(2): 513-517 (2009) - [c2]Martim Carbone, Weidong Cui, Long Lu, Wenke Lee, Marcus Peinado, Xuxian Jiang:
Mapping kernel objects to enable systematic integrity checking. CCS 2009: 555-565 - [c1]Long Lu, Vinod Yegneswaran, Phillip A. Porras, Wenke Lee:
BLADE: Slashing the Invisible Channel of Drive-by Download Malware. RAID 2009: 350-352
Coauthor Index
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last updated on 2024-10-23 20:24 CEST by the dblp team
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