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Latifur R. Khan
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- affiliation: University of Texas at Dallas, USA
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2020 – today
- 2023
[c258]Xiaodi Li, Md. Delwar Hossain, Hideya Ochiai, Latifur Khan:
2MiCo: A Contrastive Semi-Supervised Method with Double Mixup for Smart Meter Modbus RS-485 Communication Security. BigDataSecurity/HPSC/IDS 2023: 30-39- [c257]Md Shihabul Islam
, Mahmoud Zamani, Chung Hwan Kim, Latifur Khan, Kevin W. Hamlen:
Confidential Execution of Deep Learning Inference at the Untrusted Edge with ARM TrustZone. CODASPY 2023: 153-164 - [c256]Khandakar Ashrafi Akbar, Sadaf Md. Halim, Anoop Singhal, Basel Abdeen, Latifur Khan, Bhavani Thuraisingham:
The Design of an Ontology for ATT&CK and its Application to Cybersecurity. CODASPY 2023: 295-297 - [c255]Md. Delwar Hossain, Hideya Ochiai, Latifur Khan, Youki Kadobayashi:
Smart Meter Modbus RS-485 Intrusion Detection by Federated Learning Approach. ICCAE 2023: 559-564 - [i12]Feng Mi, Chen Zhao, Zhuoyi Wang, Sadaf Md. Halim, Xiaodi Li, Zhouxiang Wu, Latifur Khan, Bhavani Thuraisingham:
An Automated Vulnerability Detection Framework for Smart Contracts. CoRR abs/2301.08824 (2023) - 2022
- [j71]Md Shihabul Islam, Bo Dong, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham:
GCI: A GPU-Based Transfer Learning Approach for Detecting Cheats of Computer Game. IEEE Trans. Dependable Secur. Comput. 19(2): 804-816 (2022) - [j70]Yang Gao, Swarup Chandra, Yifan Li, Latifur Khan, Bhavani Thuraisingham:
SACCOS: A Semi-Supervised Framework for Emerging Class Detection and Concept Drift Adaption Over Data Streams. IEEE Trans. Knowl. Data Eng. 34(3): 1416-1426 (2022) - [j69]Gunasekaran Manogaran, Hassan Qudrat-Ullah, Qin Xin, Latifur Khan:
Guest Editorial Introduction for the Special Section on Deep Learning Algorithms and Systems for Enhancing Security in Cloud Services. ACM Trans. Internet Techn. 22(2): 39e:1-39e:5 (2022) - [c254]Erick Skorupa Parolin, MohammadSaleh Hosseini, Yibo Hu, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D'Orazio:
Multi-CoPED: A Multilingual Multi-Task Approach for Coding Political Event Data on Conflict and Mediation Domain. AIES 2022: 700-711 - [c253]Erick Skorupa Parolin, Yibo Hu, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D'Orazio:
Confli-T5: An AutoPrompt Pipeline for Conflict Related Text Augmentation. Big Data 2022: 1906-1913 - [c252]Sadaf Md. Halim, Latifur Khan, Kevin W. Hamlen, Bhavani Thuraisingham, Md. Delwar Hossain:
A Federated Approach for Learning from Electronic Health Records. BigDataSecurity/HPSC/IDS 2022: 218-223 - [c251]Saquib Irtiza, Latifur Khan, Kevin W. Hamlen:
SentMod: Hidden Backdoor Attack on Unstructured Textual Data. BigDataSecurity/HPSC/IDS 2022: 224-231 - [c250]Xiaodi Li, Latifur Khan, Mahmoud Zamani, Shamila Wickramasuriya, Kevin W. Hamlen, Bhavani Thuraisingham:
MCoM: A Semi-Supervised Method for Imbalanced Tabular Security Data. DBSec 2022: 48-67 - [c249]Khandakar Ashrafi Akbar, Sadaf Md. Halim, Yibo Hu, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham:
Knowledge Mining in Cybersecurity: From Attack to Defense. DBSec 2022: 110-122 - [c248]Yibo Hu, Yu Lin, Erick Skorupa Parolin, Latifur Khan, Kevin W. Hamlen:
Controllable Fake Document Infilling for Cyber Deception. EMNLP (Findings) 2022: 6505-6519 - [c247]Xiaodi Li, Zhuoyi Wang, Dingcheng Li, Latifur Khan, Bhavani Thuraisingham:
LPC: A Logits and Parameter Calibration Framework for Continual Learning. EMNLP (Findings) 2022: 7142-7155 - [c246]Yifan Li, Yu Lin, Yang Gao, Latifur Khan:
Unified Spatio-Temporal Graph Neural Networks: Data-Driven Modeling for Social Science. IJCNN 2022: 1-8 - [c245]Hemeng Tao, Latifur Khan, Bhavani Thuraisingham:
Personalized Hashtag Recommendation with User-level Meta-learning. IJCNN 2022: 1-8 - [c244]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. KDD 2022: 2565-2575 - [c243]Zhuoyi Wang, Yibo Hu, Latifur Khan, Kevin W. Hamlen, Bhavani Thuraisingham:
CAPT: Contrastive Pre-Training based Semi-Supervised Open-Set Learning. MIPR 2022: 7-13 - [c242]Yibo Hu, MohammadSaleh Hosseini, Erick Skorupa Parolin, Javier Osorio, Latifur Khan, Patrick T. Brandt, Vito D'Orazio:
ConfliBERT: A Pre-trained Language Model for Political Conflict and Violence. NAACL-HLT 2022: 5469-5482 - [i11]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. CoRR abs/2205.11264 (2022) - [i10]Yibo Hu, Yu Lin, Erick Skorupa Parolin, Latifur Khan, Kevin W. Hamlen:
Controllable Fake Document Infilling for Cyber Deception. CoRR abs/2210.09917 (2022) - 2021
- [j68]Frederico Araujo, Gbadebo Ayoade, Khaled Al-Naami, Yang Gao, Kevin W. Hamlen, Latifur Khan:
Crook-sourced intrusion detection as a service. J. Inf. Secur. Appl. 61: 102880 (2021) - [j67]Khaled Al-Naami, Amir El-Ghamry, Md Shihabul Islam, Latifur Khan, Bhavani Thuraisingham, Kevin W. Hamlen, Mohammed F. Alrahmawy, Magdi Zakria Rashad:
BiMorphing: A Bi-Directional Bursting Defense against Website Fingerprinting Attacks. IEEE Trans. Dependable Secur. Comput. 18(2): 505-517 (2021) - [c241]Yu Lin, Yigong Wang, Yi-Fan Li, Zhuoyi Wang, Yang Gao, Latifur Khan:
Single View Point Cloud Generation via Unified 3D Prototype. AAAI 2021: 2064-2072 - [c240]Md Sajidul Islam Sajid, Jinpeng Wei, Basel Abdeen, Ehab Al-Shaer, Md. Mazharul Islam, Walter Diong, Latifur Khan:
SODA: A System for Cyber Deception Orchestration and Automation. ACSAC 2021: 675-689 - [c239]Sayeed Salam, Md Shihabul Islam, Fawaz Ahmed, Latifur Khan, Dohyeong Kim, Nicholas Allo, Ohwofiemu Nwariaku:
Exploring the roles of social media data to identify the locations and severity of road traffic accidents. AIKE 2021: 62-71 - [c238]Erick Skorupa Parolin, Yibo Hu, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito D'Orazio:
CoMe-KE: A New Transformers Based Approach for Knowledge Extraction in Conflict and Mediation Domain. IEEE BigData 2021: 1449-1459 - [c237]Zhuoyi Wang, Yu Lin, Yifan Li, Feng Mi, Zachary Tian, Latifur Khan, Bhavani Thuraisingham:
Unsupervised Perturbation based Self-Supervised Adversarial Training. BigDataSecurity 2021: 20-25 - [c236]Ambareen Siraj, Nigamanth Sridhar, John A. Drew Hamilton, Latifur Khan, Siddharth Kaza, Maanak Gupta, Sudip Mittal:
Is there a Security Mindset and Can it be Taught? CODASPY 2021: 335-336 - [c235]Yi-Fan Li, Yu Lin, Yang Gao, Latifur Khan:
Cross-Domain Sentiment Classification with Attention-Assisted GAN. CogMI 2021: 88-95 - [c234]Luay Abdeljaber, Latifur Khan, Mahmoud Zamani, Musa Abdelaziz, Bertil E. Damato, Armin Afshar:
A Novel Application of a Semi-Supervised Learning Approach to Identify Choroidal Tumors in Fundus Photographs. CogMI 2021: 132-139 - [c233]Erick Skorupa Parolin, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito D'Orazio, Jennifer S. Holmes:
3M-Transformers for Event Coding on Organized Crime Domain. DSAA 2021: 1-10 - [c232]Yi-Fan Li, Bo Dong, Latifur Khan, Bhavani Thuraisingham, Patrick T. Brandt, Vito D'Orazio:
Data-Driven Time Series Forecasting for Social Studies Using Spatio-Temporal Graph Neural Networks. GoodIT 2021: 61-66 - [c231]Feng Mi, Zhuoyi Wang, Chen Zhao, Jinghui Guo, Fawaz Ahmed, Latifur Khan:
VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning. IEEE ICBC 2021: 1-9 - [c230]Khandakar Ashrafi Akbar, Yigong Wang, Md Shihabul Islam, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham:
Identifying Tactics of Advanced Persistent Threats with Limited Attack Traces. ICISS 2021: 3-25 - [c229]Hemeng Tao, Yang Gao, Zhuoyi Wang, Latifur Khan, Bhavani Thuraisingham:
An Episodic Learning based Geolocation Detection Framework for Imbalanced Data. IJCNN 2021: 1-8 - [c228]Yibo Hu, Latifur Khan:
Uncertainty-Aware Reliable Text Classification. KDD 2021: 628-636 - [c227]Yu Lin, Jinghui Guo, Yang Gao, Yi-Fan Li, Zhuoyi Wang, Latifur Khan:
Generating Point Cloud from Single Image in The Few Shot Scenario. ACM Multimedia 2021: 2834-2842 - [c226]Yigong Wang, Zhuoyi Wang, Yu Lin, Latifur Khan, Dingcheng Li:
CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning. SIGIR 2021: 2121-2125 - [c225]Yu Lin, Yigong Wang, Yifan Li, Yang Gao, Zhuoyi Wang, Latifur Khan:
Attention-Based Spatial Guidance for Image-to-Image Translation. WACV 2021: 816-825 - [c224]Zhuoyi Wang, Yuqiao Chen, Chen Zhao, Yu Lin, Xujiang Zhao, Hemeng Tao, Yigong Wang, Latifur Khan:
CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining. WWW 2021: 1351-1362 - [i9]Yang Gao, Yi-Fan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham:
Towards Self-Adaptive Metric Learning On the Fly. CoRR abs/2104.01495 (2021) - [i8]Yang Gao, Yi-Fan Li, Yu Lin, Charu C. Aggarwal, Latifur Khan:
SetConv: A New Approach for Learning from Imbalanced Data. CoRR abs/2104.06313 (2021) - [i7]Yibo Hu, Latifur Khan:
Uncertainty-Aware Reliable Text Classification. CoRR abs/2107.07114 (2021) - 2020
- [j66]Hong Huang, Latifur Khan, Zhou Shaohua:
Classified enhancement model for big data storage reliability based on Boolean satisfiability problem. Clust. Comput. 23(2): 483-492 (2020) - [j65]Pracheta Sahoo, Indranil Roy, Zhuoyi Wang, Feng Mi, Lin Yu, Pradeep Balasubramani, Latifur Khan, J. Fraser Stoddart:
MultiCon: A Semi-Supervised Approach for Predicting Drug Function from Chemical Structure Analysis. J. Chem. Inf. Model. 60(12): 5995-6006 (2020) - [c223]Md Shihabul Islam, Mustafa Safa Özdayi, Latifur Khan, Murat Kantarcioglu:
Secure IoT Data Analytics in Cloud via Intel SGX. CLOUD 2020: 43-52 - [c222]Zhuoyi Wang, Yigong Wang, Yu Lin, Bo Dong, Hemeng Tao, Latifur Khan:
Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract). AAAI 2020: 13961-13962 - [c221]Yang Gao, Yi-Fan Li, Yu Lin, Hemeng Tao, Latifur Khan:
A Simple, Effective and Extendible Approach to Deep Multi-task Learning. IEEE BigData 2020: 924-929 - [c220]Zhuoyi Wang, Yigong Wang, Bo Dong, Pracheta Sahoo, Kevin W. Hamlen, Latifur Khan:
Adaptive Margin Based Deep Adversarial Metric Learning. BigDataSecurity/HPSC/IDS 2020: 100-108 - [c219]Gbadebo Ayoade, Khandakar Ashrafi Akbar, Pracheta Sahoo, Yang Gao, Anmol Agarwal, Kangkook Jee, Latifur Khan, Anoop Singhal:
Evolving Advanced Persistent Threat Detection using Provenance Graph and Metric Learning. CNS 2020: 1-9 - [c218]Sadaf Md. Halim, Latifur Khan, Bhavani Thuraisingham:
Next - Location Prediction Using Federated Learning on a Blockchain. CogMI 2020: 244-250 - [c217]Erick Skorupa Parolin, Latifur Khan, Javier Osorio, Vito D'Orazio, Patrick T. Brandt, Jennifer S. Holmes:
HANKE: Hierarchical Attention Networks for Knowledge Extraction in Political Science Domain. DSAA 2020: 410-419 - [c216]Yang Gao, Yi-Fan Li, Yu Lin, Charu C. Aggarwal, Latifur Khan:
SetConv: A New Approach for Learning from Imbalanced Data. EMNLP (1) 2020: 1284-1294 - [c215]Gbadebo Ayoade, Frederico Araujo, Khaled Al-Naami, Ahmad M. Mustafa, Yang Gao, Kevin W. Hamlen, Latifur Khan:
Automating Cyberdeception Evaluation with Deep Learning. HICSS 2020: 1-10 - [c214]Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan:
A Primal-Dual Subgradient Approach for Fair Meta Learning. ICDM 2020: 821-830 - [c213]Hemeng Tao, Zhuoyi Wang, Yang Gao, Yigong Wang, Latifur Khan:
Adaptive Multi-Region Network For Medical Image Analysis. ICIP 2020: 71-75 - [c212]Jinghui Guo, Ali Ersen, Yang Gao, Yu Lin, Latifur Khan, Metin Yavuz:
Prediction of Plantar Shear Stress Distribution by Conditional GAN with Attention Mechanism. MICCAI (2) 2020: 770-780 - [c211]Bo Dong, Cristian Lumezanu, Yuncong Chen, Dongjin Song, Takehiko Mizoguchi, Haifeng Chen, Latifur Khan:
At the Speed of Sound: Efficient Audio Scene Classification. ICMR 2020: 301-305 - [c210]Zhuoyi Wang, Yigong Wang, Yu Lin, Evan Delord, Latifur Khan:
Few-Sample and Adversarial Representation Learning for Continual Stream Mining. WWW 2020: 718-728 - [e9]Rakesh M. Verma, Latifur Khan, Chilukuri K. Mohan:
IWSPA@CODASPY '20: Proceedings ofthe Sixth International Workshop on Security and Privacy Analytics, New Orleans, LA, USA, March 18, 2020. ACM 2020, ISBN 978-1-4503-7115-5 [contents] - [i6]Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, Latifur Khan:
Deep Learning on Knowledge Graph for Recommender System: A Survey. CoRR abs/2004.00387 (2020) - [i5]Md Shihabul Islam, Mustafa Safa Özdayi, Latifur Khan, Murat Kantarcioglu:
Secure IoT Data Analytics in Cloud via Intel SGX. CoRR abs/2008.05286 (2020) - [i4]Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan:
A Primal-Dual Subgradient Approach for Fair Meta Learning. CoRR abs/2009.12675 (2020)
2010 – 2019
- 2019
- [j64]Magdalini Eirinaki, Jerry Gao, Latifur Khan, Sourav Mazumder, Katerina Potika:
Editorial for Special Issue on "Big Data and Smart Cities". Big Data Res. 17: 33-34 (2019) - [j63]HyoungAh Kim, Vito D'Orazio, Patrick T. Brandt, Michael Shoemate, Sayeed Salam, Latifur Khan, Jared Looper:
UTDEventData: An R package to access political event data. J. Open Source Softw. 4(36): 1322 (2019) - [j62]Gbadebo Ayoade, Amir El-Ghamry, Vishal Karande, Latifur Khan, Mohammed F. Alrahmawy, Magdi Zakria Rashad:
Secure data processing for IoT middleware systems. J. Supercomput. 75(8): 4684-4709 (2019) - [c209]Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan:
Multistream Classification with Relative Density Ratio Estimation. AAAI 2019: 3478-3485 - [c208]Frederico Araujo, Gbadebo Ayoade, Khaled Al-Naami, Yang Gao, Kevin W. Hamlen, Latifur Khan:
Improving intrusion detectors by crook-sourcing. ACSAC 2019: 245-256 - [c207]Zhuoyi Wang, Bo Dong, Yu Lin, Yigong Wang, Md Shihabul Islam, Latifur Khan:
Co-Representation Learning Framework For the Open-Set Data Classification. IEEE BigData 2019: 239-244 - [c206]Yang Gao, Yi-Fan Li, Bo Dong, Yu Lin, Latifur Khan:
SIM: Open-World Multi-Task Stream Classifier with Integral Similarity Metrics. IEEE BigData 2019: 751-760 - [c205]Bo Dong, Jinghui Guo, Zhuoyi Wang, Rong Wu, Yang Gao, Latifur Khan:
Regression Prediction For Geolocation Aware Through Relative Density Ratio Estimation. IEEE BigData 2019: 1644-1649 - [c204]Erick Skorupa Parolin, Sayeed Salam, Latifur Khan, Patrick T. Brandt, Jennifer S. Holmes:
Automated Verbal-Pattern Extraction from Political News Articles using CAMEO Event Coding Ontology. BigDataSecurity/HPSC/IDS 2019: 258-266 - [c203]Gbadebo Ayoade, Erick Bauman, Latifur Khan, Kevin W. Hamlen:
Smart Contract Defense through Bytecode Rewriting. Blockchain 2019: 384-389 - [c202]Maryam Bahojb Imani, Latifur Khan, Bhavani Thuraisingham:
Where Did the Political News Event Happen? Primary Focus Location Extraction in Different Languages. CIC 2019: 61-70 - [c201]Zhuoyi Wang, Zelun Kong, Swarup Chandra, Hemeng Tao, Latifur Khan:
Robust High Dimensional Stream Classification with Novel Class Detection. ICDE 2019: 1418-1429 - [c200]Hemeng Tao, Zhuoyi Wang, Yifan Li, Mahmoud Zamani, Latifur Khan:
COMC: A Framework for Online Cross-domain Multistream Classification. IJCNN 2019: 1-8 - [c199]Zhuoyi Wang, Hemeng Tao, Zelun Kong, Swarup Chandra, Latifur Khan:
Metric Learning based Framework for Streaming Classification with Concept Evolution. IJCNN 2019: 1-8 - [c198]Md Shihabul Islam, Harsh Verma, Latifur Khan, Murat Kantarcioglu:
Secure Real-Time Heterogeneous IoT Data Management System. TPS-ISA 2019: 228-235 - [c197]Yang Gao, Yifan Li, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham:
Towards Self-Adaptive Metric Learning On the Fly. WWW 2019: 503-513 - [c196]Yi-Fan Li, Yang Gao, Gbadebo Ayoade, Hemeng Tao, Latifur Khan, Bhavani Thuraisingham:
Multistream Classification for Cyber Threat Data with Heterogeneous Feature Space. WWW 2019: 2992-2998 - [e8]Chaitanya K. Baru, Jun Huan, Latifur Khan, Xiaohua Hu, Ronay Ak, Yuanyuan Tian, Roger S. Barga, Carlo Zaniolo, Kisung Lee, Yanfang (Fanny) Ye:
2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019. IEEE 2019, ISBN 978-1-7281-0858-2 [contents] - 2018
- [c195]Ahsanul Haque, Hemeng Tao, Swarup Chandra, Jie Liu, Latifur Khan:
A Framework for Multistream Regression With Direct Density Ratio Estimation. AAAI 2018: 3149-3156 - [c194]Bo Dong, Md Shihabul Islam, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham:
GCI: A Transfer Learning Approach for Detecting Cheats of Computer Game. IEEE BigData 2018: 1188-1197 - [c193]James P. McGlothlin, Sriveni Vedire, Hari Srinivasan, Amar Madugula, Srinivasan Rajagopalan, Latifur Khan:
Predicting Hospital Capacity and Efficiency. HEALTHINF 2018: 562-570 - [c192]Vishal Karande, Swarup Chandra, Zhiqiang Lin, Juan Caballero, Latifur Khan, Kevin W. Hamlen:
BCD: Decomposing Binary Code Into Components Using Graph-Based Clustering. AsiaCCS 2018: 393-398 - [c191]Latifur Khan:
Big IoT Data Stream Analytics with Issues in Privacy and Security. IWSPA@CODASPY 2018: 22 - [c190]Gbadebo Ayoade, Swarup Chandra, Latifur Khan, Kevin W. Hamlen, Bhavani Thuraisingham:
Automated Threat Report Classification over Multi-Source Data. CIC 2018: 236-245 - [c189]Sayeed Salam, Patrick T. Brandt, Jennifer S. Holmes, Latifur Khan:
Distributed Framework for Political Event Coding in Real-Time. EECS 2018: 266-273 - [c188]Biplob Debnath, Mohiuddin Solaimani, Muhammad Ali Gulzar, Nipun Arora, Cristian Lumezanu, Jianwu Xu, Bo Zong, Hui Zhang, Guofei Jiang, Latifur Khan:
LogLens: A Real-Time Log Analysis System. ICDCS 2018: 1052-1062 - [c187]Swarup Chandra, Ahsanul Haque, Hemeng Tao, Jie Liu, Latifur Khan, Charu C. Aggarwal:
Ensemble Direct Density Ratio Estimation for Multistream Classification. ICDE 2018: 1364-1367 - [c186]Bhavani Thuraisingham, Murat Kantarcioglu, Latifur Khan:
Integrating Cyber Security and Data Science for Social Media: A Position Paper. IPDPS Workshops 2018: 1163-1165 - [c185]Gbadebo Ayoade, Vishal Karande, Latifur Khan, Kevin W. Hamlen:
Decentralized IoT Data Management Using BlockChain and Trusted Execution Environment. IRI 2018: 15-22 - [c184]Huang Hong, Latifur Khan, Gbadebo Ayoade, Zhou Shaohua, Wei Yong:
A Complex Task Scheduling Scheme for Big Data Platforms Based on Boolean Satisfiability Problem. IRI 2018: 170-177 - [c183]Aswin Krishna Gunasekaran, Maryam Bahojb Imani, Latifur Khan, Christan Grant, Patrick T. Brandt, Jennifer S. Holmes:
SPERG: Scalable Political Event Report Geoparsing in Big Data. ISI 2018: 187-192 - [e7]Francis Y. L. Chin, C. L. Philip Chen, Latifur Khan, Kisung Lee, Liang-Jie Zhang:
Big Data - BigData 2018 - 7th International Congress, Held as Part of the Services Conference Federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, Proceedings. Lecture Notes in Computer Science 10968, Springer 2018, ISBN 978-3-319-94300-8 [contents] - [i3]Yang Gao, Swarup Chandra, Zhuoyi Wang, Latifur Khan:
Adaptive Image Stream Classification via Convolutional Neural Network with Intrinsic Similarity Metrics. CoRR abs/1810.03966 (2018) - 2017
- [c182]Grace Park, Sooyong Park, Latifur Khan, Lawrence Chung:
IRIS: A goal-oriented big data analytics framework on Spark for better Business decisions. BigComp 2017: 76-83 - [c181]Bo Dong, Yifan Li, Yang Gao, Ahsanul Haque, Latifur Khan, Mohammad M. Masud:
Multistream regression with asynchronous concept drift detection. IEEE BigData 2017: 596-605 - [c180]Mohiuddin Solaimani, Sayeed Salam, Latifur Khan, Patrick T. Brandt, Vito D'Orazio:
RePAIR: Recommend political actors in real-time from news websites. IEEE BigData 2017: 1333-1340 - [c179]Ahmad M. Mustafa, Gbadebo Ayoade, Khaled Al-Naami, Latifur Khan, Kevin W. Hamlen, Bhavani Thuraisingham, Frederico Araujo:
Unsupervised deep embedding for novel class detection over data stream. IEEE BigData 2017: 1830-1839 - [c178]Maryam Bahojb Imani, Swarup Chandra, Samuel Ma, Latifur Khan, Bhavani Thuraisingham:
Focus location extraction from political news reports with bias correction. IEEE BigData 2017: 1956-1964 - [c177]Vishal Karande, Erick Bauman, Zhiqiang Lin, Latifur Khan:
SGX-Log: Securing System Logs With SGX. AsiaCCS 2017: 19-30 - [c176]Fahad Shaon, Murat Kantarcioglu, Zhiqiang Lin, Latifur Khan:
SGX-BigMatrix: A Practical Encrypted Data Analytic Framework With Trusted Processors. CCS 2017: 1211-1228 - [c175]Ahsanul Haque, Zhuoyi Wang, Swarup Chandra, Bo Dong, Latifur Khan, Kevin W. Hamlen:
FUSION: An Online Method for Multistream Classification. CIKM 2017: 919-928 - [c174]Swarup Chandra, Vishal Karande, Zhiqiang Lin, Latifur Khan, Murat Kantarcioglu, Bhavani Thuraisingham:
Securing Data Analytics on SGX with Randomization. ESORICS (1) 2017: 352-369 - [c173]Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin W. Hamlen, Charu C. Aggarwal:
Efficient Multistream Classification Using Direct Density Ratio Estimation. ICDE 2017: 155-158 - [c172]Justin Sahs, Latifur Khan:
Online Classification of Nonstationary Streaming Data with Dynamic Pitman-Yor Diffusion Trees. ICTAI 2017: 477-484 - [c171]Maryam Bahojb Imani, Mehrdad Heydarzadeh, Latifur Khan, Mehrdad Nourani:
A Scalable Spark-Based Fault Diagnosis Platform for Gearbox Fault Diagnosis in Wind Farms. IRI 2017: 100-107 - [c170]Grace Park, Lawrence Chung, Latifur Khan, Sooyong Park:
A modeling framework for business process reengineering using big data analytics and a goal-orientation. RCIS 2017: 21-32 - [c169]Swarup Chandra, Vishal M. Karande, Latifur R. Khan:
Secure IoT Stream Data Management and Analytics with Intel SGX. SafeConfig@CCS 2017: 37 - [c168]Mohiuddin Solaimani, Sayeed Salam, Latifur Khan, Patrick T. Brandt, Vito D'Orazio:
APART: Automatic Political Actor Recommendation in Real-time. SBP-BRiMS 2017: 342-348 - [e6]Chengcui Zhang, Balaji Palanisamy, Latifur Khan, Sahra Sedigh Sarvestani:
2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-1562-1 [contents] - [r4]Bhavani Thuraisingham, Latifur Khan, Ganesh Subbiah, Ashraful Alam, Murat Kantarcioglu:
Geospatial Semantic Web, Definition. Encyclopedia of GIS 2017: 746 - [r3]Bhavani Thuraisingham, Latifur Khan, Ganesh Subbiah,