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ORCIDLatifur Khan
Latifur R. Khan
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- affiliation: University of Texas at Dallas, USA
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2020 – today
- 2024
[j77]Nahid Ferdous Aurna
, Md Delwar Hossain, Latifur Khan, Yuzo Taenaka, Youki Kadobayashi:
FedFusion: Adaptive Model Fusion for Addressing Feature Discrepancies in Federated Credit Card Fraud Detection. IEEE Access 12: 136962-136978 (2024)- [j76]Yi-Fan Li, Yang Gao, Gbadebo Ayoade, Latifur Khan, Anoop Singhal, Bhavani Thuraisingham:
Heterogeneous Domain Adaptation for Multistream Classification on Cyber Threat Data. IEEE Trans. Dependable Secur. Comput. 21(1): 1-11 (2024) - [j75]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. ACM Trans. Knowl. Discov. Data 18(6): 153:1-153:23 (2024) - [c280]Yibo Hu, Erick Skorupa Parolin, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D'Orazio:
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification. ACL (1) 2024: 583-603 - [c279]Bhavani Thuraisingham, Kim Nimon, Latifur Khan:
An Education Program for Big Data Security and Privacy. BigDataSecurity 2024: 1-4 - [c278]Md Shihabul Islam, Mahmoud Zamani, Kevin W. Hamlen, Latifur Khan, Murat Kantarcioglu:
Ensuring End-to-End IoT Data Security and Privacy Through Cloud-Enhanced Confidential Computing. DBSec 2024: 71-91 - [c277]Fariha Ishrat Rahman, Sadaf Md. Halim, Anoop Singhal, Latifur Khan:
ALERT: A Framework for Efficient Extraction of Attack Techniques from Cyber Threat Intelligence Reports Using Active Learning. DBSec 2024: 203-220 - [c276]Saquib Irtiza, Xiaodi Li, Mahmoud Zamani, Latifur Khan, Kevin W. Hamlen:
VulPrompt: Prompt-Based Vulnerability Detection Using Few-Shot Graph Learning. DBSec 2024: 221-240 - [c275]Sabbir Ahmed, Luay Abdeljaber, Sharif Noor Zisad, Mohammad Shahadat Hossain, Latifur Khan:
Blockchain Smart Contract Vulnerability Detection and Segmentation Using ML. ICBC 2024: 290-292 - [c274]Nahid Ferdous Aurna, Md Delwar Hossain, Hideya Ochiai, Yuzo Taenaka, Latifur Khan, Youki Kadobayashi:
Banking Malware Detection: Leveraging Federated Learning with Conditional Model Updates and Client Data Heterogeneity. ICISSP 2024: 309-319 - [c273]Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen:
Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. KDD 2024: 4419-4430 - [c272]Sultan Alsarra, Parker Whitehead, Naif Alatrush, Luay Abdeljaber, Latifur Khan, Javier Osorio, Patrick T. Brandt, Vito D'Orazio:
Extractive Question Answering for Spanish and Arabic Political Text. SBP-BRiMS 2024: 144-153 - [i16]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. CoRR abs/2402.12319 (2024) - 2023
- [j74]Xiaodi Li, Latifur Khan, Mahmoud Zamani, Shamila Wickramasuriya, Kevin W. Hamlen, Bhavani Thuraisingham:
Con2Mix: A semi-supervised method for imbalanced tabular security data. J. Comput. Secur. 31(6): 705-726 (2023) - [j73]Khandakar Ashrafi Akbar, Yigong Wang, Gbadebo Ayoade, Yang Gao, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham, Kangkook Jee:
Advanced Persistent Threat Detection Using Data Provenance and Metric Learning. IEEE Trans. Dependable Secur. Comput. 20(5): 3957-3969 (2023) - [j72]Md Sajidul Islam Sajid, Jinpeng Wei, Ehab Al-Shaer, Qi Duan, Basel Abdeen, Latifur Khan:
symbSODA: Configurable and Verifiable Orchestration Automation for Active Malware Deception. ACM Trans. Priv. Secur. 26(4): 51:1-51:36 (2023) - [c271]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 - [c270]Wooseong Yang, Sultan Alsarra, Luay Abdeljaber, Niamat Zawad, Zeinab Delaram, Javier Osorio, Latifur Khan, Patrick T. Brandt, Vito D'Orazio:
ConfliBERT-Spanish: A Pre-trained Spanish Language Model for Political Conflict and Violence. CiSt 2023: 287-292 - [c269]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 - [c268]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 - [c267]Basel Abdeen, Ehab Al-Shaer, Anoop Singhal, Latifur Khan, Kevin W. Hamlen:
SMET: Semantic Mapping of CVE to ATT&CK and Its Application to Cybersecurity. DBSec 2023: 243-260 - [c266]Yigong Wang, Zhuoyi Wang, Yu Lin, Jinghui Guo, Sadaf Md. Halim, Latifur Khan:
Dual Contrastive Learning Framework for Incremental Text Classification. EMNLP (Findings) 2023: 194-206 - [c265]Seyyed MohammadSaleh Hosseini, Munawara Munia, Latifur Khan:
BERT Has More to Offer: BERT Layers Combination Yields Better Sentence Embeddings. EMNLP (Findings) 2023: 15419-15431 - [c264]Sadaf Md. Halim, Md Delwar Hossain, Latifur Khan, Anoop Singhal, Hiroyuki Inoue, Hideya Ochiai, Kevin W. Hamlen, Youki Kadobayashi:
Securing Smart Vehicles Through Federated Learning. FPS (1) 2023: 18-35 - [c263]Mahmoud Zamani, Saquib Irtiza, Latifur Khan, Kevin W. Hamlen:
VulMAE: Graph Masked Autoencoders for Vulnerability Detection from Source and Binary Codes. FPS (1) 2023: 191-207 - [c262]Md Delwar Hossain, Hideya Ochiai, Latifur Khan, Youki Kadobayashi:
Smart Meter Modbus RS-485 Intrusion Detection by Federated Learning Approach. ICCAE 2023: 559-564 - [c261]Khandakar Ashrafi Akbar, Fariha Ishrat Rahman, Anoop Singhal, Latifur Khan, Bhavani Thuraisingham:
The Design and Application of a Unified Ontology for Cyber Security. ICISS 2023: 23-41 - [c260]Mahmoud Zamani, Saquib Irtiza, Shamila Wickramasuriya, Latifur Khan, Kevin W. Hamlen:
Cross Domain Vulnerability Detection using Graph Contrastive Learning. Tiny Papers @ ICLR 2023 - [c259]Sadaf Md. Halim, Saquib Irtiza, Yibo Hu, Latifur Khan, Bhavani Thuraisingham:
WokeGPT: Improving Counterspeech Generation Against Online Hate Speech by Intelligently Augmenting Datasets Using a Novel Metric. IJCNN 2023: 1-10 - [c258]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen:
Towards Fair Disentangled Online Learning for Changing Environments. KDD 2023: 3480-3491 - [c257]Sultan Alsarra, Luay Abdeljaber, Wooseong Yang, Niamat Zawad, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito D'Orazio:
ConfliBERT-Arabic: A Pre-trained Arabic Language Model for Politics, Conflicts and Violence. RANLP 2023: 98-108 - [c256]Latifur Khan, Bhavani Thuraisingham, Sadaf Md. Halim:
A Transparent Blockchain-Based College Admissions Platform. SmartCloud 2023: 116-123 - [e10]Guihai Chen, Latifur Khan, Xiaofeng Gao, Meikang Qiu, Witold Pedrycz, Xindong Wu:
IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. IEEE 2023, ISBN 979-8-3503-0788-7 [contents] - [i15]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) - [i14]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen:
Towards Fair Disentangled Online Learning for Changing Environments. CoRR abs/2306.01007 (2023) - [i13]Yibo Hu, Erick Skorupa Parolin, Latifur Khan, Patrick T. Brandt, Javier Osorio, Vito J. D'Orazio:
Synthesizing Political Zero-Shot Relation Classification via Codebook Knowledge, NLI, and ChatGPT. CoRR abs/2308.07876 (2023) - [i12]Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen:
Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. CoRR abs/2311.13816 (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) - [c255]Erick Skorupa Parolin, Seyyed 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 - [c254]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. IEEE Big Data 2022: 1906-1913 - [c253]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 - [c252]Saquib Irtiza, Latifur Khan, Kevin W. Hamlen:
SentMod: Hidden Backdoor Attack on Unstructured Textual Data. BigDataSecurity/HPSC/IDS 2022: 224-231 - [c251]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 - [c250]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 - [c249]Yibo Hu, Yu Lin, Erick Skorupa Parolin, Latifur Khan, Kevin W. Hamlen:
Controllable Fake Document Infilling for Cyber Deception. EMNLP (Findings) 2022: 6505-6519 - [c248]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 - [c247]Yifan Li, Yu Lin, Yang Gao, Latifur Khan:
Unified Spatio-Temporal Graph Neural Networks: Data-Driven Modeling for Social Science. IJCNN 2022: 1-8 - [c246]Hemeng Tao, Latifur Khan, Bhavani Thuraisingham:
Personalized Hashtag Recommendation with User-level Meta-learning. IJCNN 2022: 1-8 - [c245]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 - [c244]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 - [c243]Yibo Hu, Seyyed 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) - [c242]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 - [c241]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 - [c240]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 - [c239]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 - [c238]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 - [c237]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 - [c236]Yi-Fan Li, Yu Lin, Yang Gao, Latifur Khan:
Cross-Domain Sentiment Classification with Attention-Assisted GAN. CogMI 2021: 88-95 - [c235]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 - [c234]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 - [c233]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 - [c232]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 - [c231]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 - [c230]Hemeng Tao, Yang Gao, Zhuoyi Wang, Latifur Khan, Bhavani Thuraisingham:
An Episodic Learning based Geolocation Detection Framework for Imbalanced Data. IJCNN 2021: 1-8 - [c229]Yibo Hu, Latifur Khan:
Uncertainty-Aware Reliable Text Classification. KDD 2021: 628-636 - [c228]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 - [c227]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 - [c226]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 - [c225]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) - [c224]Md Shihabul Islam, Mustafa Safa Özdayi, Latifur Khan, Murat Kantarcioglu:
Secure IoT Data Analytics in Cloud via Intel SGX. CLOUD 2020: 43-52 - [c223]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 - [c222]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 - [c221]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 - [c220]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 - [c219]Sadaf Md. Halim, Latifur Khan, Bhavani Thuraisingham:
Next - Location Prediction Using Federated Learning on a Blockchain. CogMI 2020: 244-250 - [c218]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 - [c217]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 - [c216]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 - [c215]Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan:
A Primal-Dual Subgradient Approach for Fair Meta Learning. ICDM 2020: 821-830 - [c214]Hemeng Tao, Zhuoyi Wang, Yang Gao, Yigong Wang, Latifur Khan:
Adaptive Multi-Region Network For Medical Image Analysis. ICIP 2020: 71-75 - [c213]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 - [c212]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 - [c211]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) - [c210]Bo Dong, Yang Gao, Swarup Chandra, Latifur Khan:
Multistream Classification with Relative Density Ratio Estimation. AAAI 2019: 3478-3485 - [c209]Frederico Araujo, Gbadebo Ayoade, Khaled Al-Naami, Yang Gao, Kevin W. Hamlen, Latifur Khan:
Improving intrusion detectors by crook-sourcing. ACSAC 2019: 245-256 - [c208]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 - [c207]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 - [c206]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 - [c205]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 - [c204]Gbadebo Ayoade, Erick Bauman, Latifur Khan, Kevin W. Hamlen:
Smart Contract Defense through Bytecode Rewriting. Blockchain 2019: 384-389 - [c203]