Compression for Anti-Adversarial Learning. - Yan Zhou 001; W. Meador Inge; Murat Kantarcioglu (PAKDD (2), 2011)

Differentiating Code from Data in x86 Binaries. - Richard Wartell; Yan Zhou 001; Kevin W. Hamlen; Murat Kantarcioglu; Bhavani Thuraisingham (ECML/PKDD (3), 2011)

Randomizing Smartphone Malware Profiles against Statistical Mining Techniques. - Abhijith Shastry; Murat Kantarcioglu; Yan Zhou 001; Bhavani Thuraisingham (DBSec, 2012)

Self-Training with Selection-by-Rejection. - Yan Zhou 001; Murat Kantarcioglu; Bhavani Thuraisingham (ICDM, 2012)

Sparse Bayesian Adversarial Learning Using Relevance Vector Machine Ensembles. - Yan Zhou 001; Murat Kantarcioglu; Bhavani Thuraisingham (ICDM, 2012)

Adversarial support vector machine learning. - Yan Zhou 001; Murat Kantarcioglu; Bhavani Thuraisingham; Bowei Xi (KDD, 2012)

Shingled Graph Disassembly: Finding the Undecideable Path. - Richard Wartell; Yan Zhou 001; Kevin W. Hamlen; Murat Kantarcioglu (PAKDD (1), 2014)

Adversarial Learning with Bayesian Hierarchical Mixtures of Experts. - Yan Zhou 001; Murat Kantarcioglu (SDM, 2014)

Detecting Discrimination in a Black-Box Classifier. - Yasmeen Alufaisan; Murat Kantarcioglu; Yan Zhou 001 (CIC, 2016)

Modeling Adversarial Learning as Nested Stackelberg Games. - Yan Zhou 001; Murat Kantarcioglu (PAKDD (2), 2016)

From Myths to Norms: Demystifying Data Mining Models with Instance-Based Transparency. - Yasmeen Alufaisan; Yan Zhou 001; Murat Kantarcioglu; Bhavani Thuraisingham (CIC, 2017)

Hacking social network data mining. - Yasmeen Alufaisan; Yan Zhou 001; Murat Kantarcioglu; Bhavani Thuraisingham (ISI, 2017)

Data Mining with Algorithmic Transparency. - Yan Zhou 001; Yasmeen Alufaisan; Murat Kantarcioglu (PAKDD (1), 2018)

Privacy Preserving Synthetic Data Release Using Deep Learning. - Nazmiye Ceren Abay; Yan Zhou 001; Murat Kantarcioglu; Bhavani Thuraisingham; Latanya Sweeney (ECML/PKDD (1), 2018)

Breaking Transferability of Adversarial Samples with Randomness. - Yan Zhou 001; Murat Kantarcioglu; Bowei Xi (CoRR, 2018)

Adversarial Active Learning in the Presence of Weak and Malicious Oracles. - Yan Zhou 001; Murat Kantarcioglu; Bowei Xi (PAKDD (Workshops), 2019)

A survey of game theoretic approach for adversarial machine learning. - Yan Zhou 001; Murat Kantarcioglu; Bowei Xi (WIREs Data Mining Knowl. Discov., 2019)

Attacking Machine Learning Models for Social Good. - Vibha Belavadi; Yan Zhou 001; Murat Kantarcioglu; Bhavani Thuraisingham (GameSec, 2020)

MultiModal Deception Detection: Accuracy, Applicability and Generalizability. - Vibha Belavadi; Yan Zhou 001; Jonathan Z. Bakdash; Murat Kantarcioglu; Daniel C. Krawczyk; Linda Nguyen; Jelena Rakic; Bhavani Thuraisingham (TPS-ISA, 2020)

Does Explainable Artificial Intelligence Improve Human Decision-Making? - Yasmeen Alufaisan; Laura R. Marusich; Jonathan Z. Bakdash; Yan Zhou 001; Murat Kantarcioglu (AAAI, 2021)

Improving Fairness of AI Systems with Lossless De-biasing. - Yan Zhou 001; Murat Kantarcioglu; Chris Clifton (CoRR, 2021)

Multi-concept adversarial attacks. - Vibha Belavadi; Yan Zhou 001; Murat Kantarcioglu; Bhavani M. Thuraisingham (CoRR, 2021)

Robust Transparency Against Model Inversion Attacks. - Yasmeen Alufaisan; Murat Kantarcioglu; Yan Zhou 001 (IEEE Trans. Dependable Secur. Comput., 2021)

Unfair AI: It Isn't Just Biased Data. - Chowdhury Mohammad Rakin Haider; Chris Clifton; Yan Zhou 001 (ICDM, 2022)

Attack Some while Protecting Others: Selective Attack Strategies for Attacking and Protecting Multiple Concepts. - Vibha Belavadi; Yan Zhou 001; Murat Kantarcioglu; Bhavani Thuraisingham (CCS, 2023)

On Improving Fairness of AI Models with Synthetic Minority Oversampling Techniques. - Yan Zhou 001; Murat Kantarcioglu; Chris Clifton (SDM, 2023)

An Investigation on the Fragility of Graph Neural Networks: The Impact of Node Feature Modification on Graph Classification Accuracy. - Chengen Wang; Yan Zhou 001; Kangkook Jee; Murat Kantarcioglu (TPS-ISA, 2023)

Exploring the Effect of Randomness on Transferability of Adversarial Samples Against Deep Neural Networks. - Yan Zhou 001; Murat Kantarcioglu; Bowei Xi (IEEE Trans. Dependable Secur. Comput., 2023)

Using AI Uncertainty Quantification to Improve Human Decision-Making. - Laura Marusich; Jonathan Z. Bakdash; Yan Zhou 001; Murat Kantarcioglu (ICML, 2024)

SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data. - Yan Zhou 001; Bradley A. Malin; Murat Kantarcioglu (CoRR, 2025)