Preserving visual perception by learning natural clustering. - Willie Chang; Hamdy S. Soliman; Andrew H. Sung (ICNN, 1993)

Fingerprint Image Compression by a Natural Clustering Neural Network. - Willie Chang; Hamdy S. Soliman; Andrew H. Sung (ICIP (2), 1994)

Fingerprint Image Compression by a Clustering Learning Network. - Willie Chang; Hamdy S. Soliman; Andrew H. Sung (IEA/AIE, 1994)

Neural networks as an aid to iterative optimization methods. - H. J. Li; Andrew H. Sung; William W. Weiss; S. C. Wo (SMC, 1998)

Advances Reservoir Simulation Using Soft Computing. - Guadalupe I. Janoski; Fansheng Li; Mateusz Pietrzyk; Andrew H. Sung; Shih-Hsien Chang; Reid B. Grigg (IEA/AIE, 2000)

A Fuzzy Inference Algorithm for Lithology Analysis in Formation Evaluation. - Hujun Li; Fangsheng Li; Andrew H. Sung; William W. Weiss (IEA/AIE, 2000)

Monitoring System Security Using Neural Networks and Support Vector Machines. - Srinivas Mukkamala; Guadalupe I. Janoski; Andrew H. Sung (HIS, 2001)

Alternate Methods in Reservoir Simulation. - Guadalupe I. Janoski; Andrew H. Sung (International Conference on Computational Science (2), 2001)

Economical large scale simulation. - Guadalupe I. Janoski; Andrew H. Sung (SMC, 2001)

Performance Based Feature Identification for Intrusion Detection Using Support Vector Machines. - Srinivas Mukkamala; Andrew H. Sung (HIS, 2002)

Role of Soft Computing in Internet Security. - Andrew H. Sung (HIS, 2002)

Detecting denial of service attacks using support vector machines. - Srinivas Mukkamala; Andrew H. Sung (FUZZ-IEEE, 2003)

Distributed Multi-Intelligent Agent Framework for Detection of Stealthy Probes. - Srinivas Mukkamala; Andrew H. Sung; Ajith Abraham (HIS, 2003)

A Comparative Study of Techniques for Intrusion Detection. - Srinivas Mukkamala; Andrew H. Sung (ICTAI, 2003)

A Distributed Agent Based IDS for Stealthy Probe Detection. - Srinivas Mukkamala; Andrew H. Sung (IICAI, 2003)

Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks. - Andrew H. Sung; Srinivas Mukkamala (SAINT, 2003)

Artificial intelligent techniques for intrusion detection. - Srinivas Mukkamala; Andrew H. Sung (SMC, 2003)

Identifying Significant Features for Network Forensic Analysis Using Artificial Intelligence Techniques. - Srinivas Mukkamala; Andrew H. Sung (Int. J. Digit. EVid., 2003)

Static Analyzer of Vicious Executables (SAVE). - Andrew H. Sung; Jianyun Xu; Patrick Chavez; Srinivas Mukkamala (ACSAC, 2004)

The Feature Selection and Intrusion Detection Problems. - Andrew H. Sung; Srinivas Mukkamala (ASIAN, 2004)

Detecting Hidden Information in the Wavelet Domain. - Jianyun Xu; Andrew H. Sung; Qingzhong Liu (CISST, 2004)

Website Visitor Classification Using Machine Learning. - Patrick Defibaugh-Chavez; Srinivas Mukkamala; Andrew H. Sung (HIS, 2004)

Polymorphic Malicious Executable Scanner by API Sequence Analysis. - Jianyun Xu; Andrew H. Sung; Patrick Chavez; Srinivas Mukkamala (HIS, 2004)

Intrusion Detection Systems Using Adaptive Regression Splines. - Srinivas Mukkamala; Andrew H. Sung; Ajith Abraham; Vitorino Ramos (ICEIS (3), 2004)

Intrusion Detection Systems Using Adaptive Regression Spines. - Srinivas Mukkamala; Andrew H. Sung; Ajith Abraham; Vitorino Ramos (ICEIS (Selected Papers), 2004)

Computational Intelligent Techniques for Detecting Denial of Service Attacks. - Srinivas Mukkamala; Andrew H. Sung (IEA/AIE, 2004)

Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach. - Srinivas Mukkamala; Andrew H. Sung; Ajith Abraham (IEA/AIE, 2004)

Detecting Spatial Outliers Using Bipartite Outlier Detection Methods. - Mingzhen Wei; Andrew H. Sung; Martha E. Cather (IKE, 2004)

Defeating the Current Steganalysis Techniques (Robust Steganography). - Andrew H. Sung; Gopalakrishna Reddy Tadiparthi; Srinivas Mukkamala (ITCC (1), 2004)

JPEG Compression Immune Steganography Using Wavelet Transform. - Jianyun Xu; Andrew H. Sung; Peipei Shi; Qingzhong Liu (ITCC (2), 2004)

A framework for countering denial of service attacks. - Srinivas Mukkamala; Andrew H. Sung (SMC (4), 2004)

Online Fraud Detection System Based on Non-Stationery Anomaly Detection. - Jianyun Xu; Andrew H. Sung; Qingzhong Liu (Security and Management, 2005)

A New Domain-Independent Field Matching Algorithm for Large Databases. - Mingzhen Wei; Andrew H. Sung; Martha E. Cather (DMIN, 2005)

Integrating Security Requirements into Scheduling for Real-Time Applications in Grid Computing. - Andrew H. Sung; Xiao Qin 001; Tao Xie 004 (GCA, 2005)

SAREC: A Security-Aware Scheduling Strategy for Real-Time Applications on Clusters. - Tao Xie 004; Xiao Qin 001; Andrew H. Sung (ICPP, 2005)

Fraud Detection System Based on Behavior Mining and Anomaly Detection. - Jianyun Xu; Andrew H. Sung; Qingzhong Liu; Srinivas Mukkamala (IICAI, 2005)

Dynamic Task Scheduling with Security Awareness in Real-Time Systems. - Tao Xie 004; Andrew H. Sung; Xiao Qin 001 (IPDPS, 2005)

Disassembled code analyzer for malware (DCAM). - Anthonius Sulaiman; K. Ramamoorthy; Srinivas Mukkamala; Andrew H. Sung (IRI, 2005)

Intrusion detection using an ensemble of intelligent paradigms. - Srinivas Mukkamala; Andrew H. Sung; Ajith Abraham (J. Netw. Comput. Appl., 2005)

Efficacy of Coordinated Distributed Multiple Attacks (A Proactive Approach to Cyber Defense). - Patrick Defibaugh-Chavez; Srinivas Mukkamala; Andrew H. Sung (AINA (2), 2006)

Feature Selection and Ranking of Key Genes for Tumor Classification: Using Microarray Gene Expression Data. - Srinivas Mukkamala; Qingzhong Liu; Rajeev Veeraghattam; Andrew H. Sung (ICAISC, 2006)

Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography. - Qingzhong Liu; Andrew H. Sung; Jianyun Xu; Bernardete Ribeiro (ICPR (2), 2006)

Tree Based Behavior Monitoring for Adaptive Fraud Detection. - Jianyun Xu; Andrew H. Sung; Qingzhong Liu (ICPR (1), 2006)

Intrusion Detection Based on Behavior Mining and Machine Learning Techniques. - Srinivas Mukkamala; Dennis Xu; Andrew H. Sung (IEA/AIE, 2006)

Recursive Feature Addition for Gene Selection. - Qingzhong Liu; Andrew H. Sung (IJCNN, 2006)

Feature Ranking and Selection for Intrusion Detection Using Artificial Neural Networks and Statistical Methods. - Ashwin Tamilarasan; Srinivas Mukkamala; Andrew H. Sung; Krishna Yendrapalli (IJCNN, 2006)

Microarray Gene Expression Classification Based on Supervised Learning and Similarity Measures. - Qingzhong Liu; Andrew H. Sung; Jianyun Xu; Jianzhong Liu; Zhongxue Chen (SMC, 2006)

Improving database quality through eliminating duplicate records. - Mingzhen Wei; Andrew H. Sung; Martha E. Cather (Data Sci. J., 2006)

Real-time scheduling with quality of security constraints. - Tao Xie 004; Xiao Qin 001; Andrew H. Sung; Man Lin; Laurence Tianruo Yang (Int. J. High Perform. Comput. Netw., 2006)

Detecting Coordinated Distributed Multiple Attacks. - Srinivas Mukkamala; Krishna Yendrapalli; Ram B. Basnet; Andrew H. Sung (AINA Workshops (1), 2007)

Boosting RVM Classifiers for Large Data Sets. - Catarina Silva 001; Bernardete Ribeiro; Andrew H. Sung (ICANNGA (2), 2007)

Estimating Monthly Production of Oil Wells. - Rajani Goteti; Ashwin Tamilarasan; R. S. Balch; Srinivas Mukkamala; Andrew H. Sung (IFSA (2), 2007)

Knowledge Based Discovery of Phishing Attacks. - Ram B. Basnet; Krishna Yendrapalli; Tenzin Doleck; Srinivas Mukkamala; Andrew H. Sung (IICAI, 2007)

Feature Mining and Neuro-Fuzzy Inference System for Steganalysis of LSB Matching Stegangoraphy in Grayscale Images. - Qingzhong Liu; Andrew H. Sung (IJCAI, 2007)

Gene Selection for Tumor Classification Using Microarray Gene Expression Data. - Krishna Yendrapalli; Ram B. Basnet; Srinivas Mukkamala; Andrew H. Sung (World Congress on Engineering, 2007)

Biased Support Vector Machines and Kernel Methods for Intrusion Detection. - Krishna Yendrapalli; Srinivas Mukkamala; Andrew H. Sung; Bernardete Ribeiro (World Congress on Engineering, 2007)

Behaviour Mining for Fraud Detection. - Jianyun Xu; Andrew H. Sung; Qingzhong Liu (J. Res. Pract. Inf. Technol., 2007)

Obfuscated Malicious Executable Scanner. - Jianyun Xu; Andrew H. Sung; Srinivas Mukkamala; Qingzhong Liu (J. Res. Pract. Inf. Technol., 2007)

Hybrid multi-agent framework for detection of stealthy probes. - Srinivas Mukkamala; Andrew H. Sung; Ajith Abraham (Appl. Soft Comput., 2007)

Predicting injection profiles using ANFIS. - Mingzhen Wei; Baojun Bai; Andrew H. Sung; Qingzhong Liu; Jiachun Wang; Martha E. Cather (Inf. Sci., 2007)

RFID malware fragmentation attacks. - Anthonius Sulaiman; Madhu K. Shankarapani; Srinivas Mukkamala; Andrew H. Sung (CTS, 2008)

Video Steganalysis Based on the Expanded Markov and Joint Distribution on the Transform Domains Detecting MSU StegoVideo. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (ICMLA, 2008)

Learning Manifolds for Bankruptcy Analysis. - Bernardete Ribeiro; Armando Vieira; João M. M. Duarte; Catarina Silva 001; João Carvalho das Neves; Qingzhong Liu; Andrew H. Sung (ICONIP (1), 2008)

Detecting information-hiding in WAV audios. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (ICPR, 2008)

Building resilient classifiers for LSB matching steganography. - Rita Ferreira; Bernardete Ribeiro; Catarina Silva 001; Qingzhong Liu; Andrew H. Sung (IJCNN, 2008)

Steganalysis of multi-class JPEG images based on expanded Markov features and polynomial fitting. - Qingzhong Liu; Andrew H. Sung; Bernardete Ribeiro; Rita Ferreira (IJCNN, 2008)

Integrating energy efficiency and security for storage systems. - Ashwin Tamilarasan; Madhu K. Shankarapani; Xiao Qin 001; Srinivas Mukkamala; Andrew H. Sung (SMC, 2008)

Image complexity and feature mining for steganalysis of least significant bit matching steganography. - Qingzhong Liu; Andrew H. Sung; Bernardete Ribeiro; Mingzhen Wei; Zhongxue Chen; Jianyun Xu (Inf. Sci., 2008)

Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images. - Qingzhong Liu; Andrew H. Sung; Zhongxue Chen; Jianyun Xu (Pattern Recognit., 2008)

SQL infections through RFID. - Anthonius Sulaiman; Srinivas Mukkamala; Andrew H. Sung (J. Comput. Virol., 2008)

Detection of Phishing Attacks: A Machine Learning Approach. - Ram B. Basnet; Srinivas Mukkamala; Andrew H. Sung (Soft Computing Applications in Industry, 2008)

Classification of Mass Spectrometry Data - Using Manifold and Supervised Distance Metric Learning. - Qingzhong Liu; Andrew H. Sung; Bernardete Ribeiro; Mengyu Qiao (BIOSIGNALS, 2009)

Using Expanded Markov Process and Joint Distribution Features for JPEG Steganalysis. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao; Bernardete Ribeiro (ICAART, 2009)

Feature Mining and Intelligent Computing for MP3 Steganalysis. - Mengyu Qiao; Andrew H. Sung; Qingzhong Liu (IJCBS, 2009)

Steganalysis of MP3Stego. - Mengyu Qiao; Andrew H. Sung; Qingzhong Liu (IJCNN, 2009)

Spectrum Steganalysis of WAV Audio Streams. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (MLDM, 2009)

A new approach for JPEG resize and image splicing detection. - Qingzhong Liu; Andrew H. Sung (MiFor@MM, 2009)

Novel stream mining for audio steganalysis. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (ACM Multimedia, 2009)

Improved detection and evaluation for JPEG steganalysis. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (ACM Multimedia, 2009)

Distance metric learning and support vector machines for classification of mass spectrometry proteomics data. - Qingzhong Liu; Mengyu Qiao; Andrew H. Sung (Int. J. Knowl. Eng. Soft Data Paradigms, 2009)

Temporal derivative-based spectrum and mel-cepstrum audio steganalysis. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (IEEE Trans. Inf. Forensics Secur., 2009)

Predicting embedding strength in audio steganography. - Mengyu Qiao; Andrew H. Sung; Qingzhong Liu (IEEE ICCI, 2010)

Revealing real quality of double compressed MP3 audio. - Mengyu Qiao; Andrew H. Sung; Qingzhong Liu (ACM Multimedia, 2010)

Detection of Double MP3 Compression. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (Cogn. Comput., 2010)

An improved approach to steganalysis of JPEG images. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao; Zhongxue Chen; Bernardete Ribeiro (Inf. Sci., 2010)

Locating Information-hiding in MP3 Audio. - Mengyu Qiao; Andrew H. Sung; Qingzhong Liu; Bernardete Ribeiro (ICAART (1), 2011)

A JPEG-based statistically invisible steganography. - Qingzhong Liu; Andrew H. Sung; Zhongxue Chen; Xudong Huang (ICIMCS, 2011)

Determine the Critical dimension in data mining (experiments with bioinformatics datasets). - Divya Suryakumar; Andrew H. Sung; Qingzhong Liu (ISDA, 2011)

A Method to Detect JPEG-Based Double Compression. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (ISNN (2), 2011)

Neighboring joint density-based JPEG steganalysis. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (ACM Trans. Intell. Syst. Technol., 2011)

Derivative-based audio steganalysis. - Qingzhong Liu; Andrew H. Sung; Mengyu Qiao (ACM Trans. Multim. Comput. Commun. Appl., 2011)

Mining Web to Detect Phishing URLs. - Ram B. Basnet; Andrew H. Sung (ICMLA (1), 2012)

Feature Selection for Improved Phishing Detection. - Ram B. Basnet; Andrew H. Sung; Qingzhong Liu (IEA/AIE, 2012)

Identification of Smartphone-Image Source and Manipulation. - Qingzhong Liu; Xiaodong Li; Lei Chen 029; Hyuk Cho; Peter A. Cooper; Zhongxue Chen; Mengyu Qiao; Andrew H. Sung (IEA/AIE, 2012)

Dependance of critical dimension on learning machines and ranking methods. - Divya Suryakumar; Andrew H. Sung; Qingzhong Liu (IRI, 2012)

Model evaluation of datasets using critical dimension model invariants. - Divya Suryakumar; Andrew H. Sung; Subhasish Mazumdar; Qingzhong Liu (ISDA, 2012)

Detection of JPEG double compression and identification of smartphone image source and post-capture manipulation. - Qingzhong Liu; Peter A. Cooper; Lei Chen 029; Hyuk Cho; Zhongxue Chen; Mengyu Qiao; Yuting Su 001; Mingzhen Wei; Andrew H. Sung (Appl. Intell., 2013)

MP3 audio steganalysis. - Mengyu Qiao; Andrew H. Sung; Qingzhong Liu (Inf. Sci., 2013)

Mining the Big Data: The Critical Feature Dimension Problem. - Qingzhong Liu; Bernardete Ribeiro; Andrew H. Sung; Divya Suryakumar (IIAI-AAI, 2014)

Learning to Detect Phishing Webpages. - Ram B. Basnet; Andrew H. Sung (J. Internet Serv. Inf. Secur., 2014)

Exposing Image Tampering with the Same Quantization Matrix. - Qingzhong Liu; Andrew H. Sung; Zhongxue Chen; Lei Chen 029 (Multimedia Data Mining and Analytics, 2015)

A Novel Touchscreen-Based Authentication Scheme Using Static and Dynamic Hand Biometrics. - Mengyu Qiao; Suiyuan Zhang; Andrew H. Sung; Qingzhong Liu (COMPSAC, 2015)

The Critical Feature Dimension and Critical Sampling Problems. - Bernardete Ribeiro; Andrew H. Sung; Divya Suryakumar; Ram B. Basnet (ICPRAM (1), 2015)

A Method to Detect AAC Audio Forgery. - Qingzhong Liu; Andrew H. Sung; Lei Chen 029; Ming Yang 019; Zhongxue Chen; Yanxin Liu; Jing Zhang 038 (EAI Endorsed Trans. Security Safety, 2015)

Exposing Inpainting Forgery in JPEG Images under Recompression Attacks. - Qingzhong Liu; Andrew H. Sung; Bing Zhou 002; Mengyu Qiao (ICMLA, 2016)

Merging Permission and API Features for Android Malware Detection. - Mengyu Qiao; Andrew H. Sung; Qingzhong Liu (IIAI-AAI, 2016)

Sampling and Evaluating the Big Data for Knowledge Discovery. - Andrew H. Sung; Bernardete Ribeiro; Qingzhong Liu (IoTBD, 2016)

Information Diffusion on Twitter: Pattern Recognition and Prediction of Volume, Sentiment, and Influence. - Amartya Hatua; Trung T. Nguyen; Andrew H. Sung (BDCAT, 2017)

Finding the Critical Sampling of Big Datasets. - José Silva; Bernardete Ribeiro; Andrew H. Sung (Conf. Computing Frontiers, 2017)

Evaluation of Tree Based Machine Learning Classifiers for Android Malware Detection. - Md. Shohel Rana; Sheikh Shah Mohammad Motiur Rahman; Andrew H. Sung (ICCCI (2), 2018)

Evaluating Machine Learning Models for Android Malware Detection: A Comparison Study. - Md. Shohel Rana; Charan Gudla; Andrew H. Sung (ICNCC, 2018)

How the tables have turned: studying the new wave of social bots on Twitter using complex network analysis techniques. - Pujan Paudel; Trung T. Nguyen; Amartya Hatua; Andrew H. Sung (ASONAM, 2019)

User Level Multi-feed Weighted Topic Embeddings for Studying Network Interaction in Twitter. - Pujan Paudel; Amartya Hatua; Trung T. Nguyen; Andrew H. Sung (BigData, 2019)

Blockchain Approach to Solve Collective Decision Making Problems for Swarm Robotics. - Trung T. Nguyen; Amartya Hatua; Andrew H. Sung (BLOCKCHAIN, 2019)

Goal-Oriented Conversational System Using Transfer Learning and Attention Mechanism. - Amartya Hatua; Trung T. Nguyen; Andrew H. Sung (UEMCON, 2019)

Cumulative Training and Transfer Learning for Multi-Robots Collision-Free Navigation Problems. - Trung T. Nguyen; Amartya Hatua; Andrew H. Sung (UEMCON, 2019)

DeepfakeStack: A Deep Ensemble-based Learning Technique for Deepfake Detection. - Md. Shohel Rana; Andrew H. Sung (CSCloud/EdgeCom, 2020)

Evaluation of Advanced Ensemble Learning Techniques for Android Malware Detection. - Md. Shohel Rana; Andrew H. Sung (Vietnam. J. Comput. Sci., 2020)

Deepfake Detection: A Systematic Literature Review. - Md. Shohel Rana; Mohammad Nur Nobi; Beddhu Murali; Andrew H. Sung (IEEE Access, 2022)

Deepfake Detection: A Tutorial. - Md. Shohel Rana; Andrew H. Sung (IWSPA@CODASPY, 2023)

Host IP Obfuscation and Performance Analysis. - Charan Gudla; Andrew H. Sung (ICR, 2023)

How to Detect AI-Generated Texts? - Trung T. Nguyen; Amartya Hatua; Andrew H. Sung (UEMCON, 2023)

Enhancing Machine Learning Performance with Continuous In-Session Ground Truth Scores: Pilot Study on Objective Skeletal Muscle Pain Intensity Prediction. - Boluwatife E. Faremi; Jonathon Stavres; Nuno Oliveira 010; Zhaoxian Zhou; Andrew H. Sung (CoRR, 2023)

DeepDistAL: Deepfake Dataset Distillation using Active Learning. - Md. Shohel Rana; Mohammad Nur Nobi; Andrew H. Sung (CVPR Workshops, 2024)

Advanced Deepfake Detection using Machine Learning Algorithms: A Statistical Analysis and Performance Comparison. - Md. Shohel Rana; Andrew H. Sung (ICICT, 2024)

Machine Unlearning using a Multi-GAN based Model. - Amartya Hatua; Trung T. Nguyen; Andrew H. Sung (CoRR, 2024)

Machine Unlearning using Forgetting Neural Networks. - Amartya Hatua; Trung T. Nguyen; Filip Cano 001; Andrew H. Sung (CoRR, 2024)