Yan Zhou

According to our database, Yan Zhou authored at least 29 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Using AI Uncertainty Quantification to Improve Human Decision-Making.

Laura Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Exploring the Effect of Randomness on Transferability of Adversarial Samples Against Deep Neural Networks.

Yan Zhou, Murat Kantarcioglu, Bowei Xi

IEEE Trans. Dependable Secur. Comput., 2023

An Investigation on the Fragility of Graph Neural Networks: The Impact of Node Feature Modification on Graph Classification Accuracy.

Chengen Wang, Yan Zhou, Kangkook Jee, Murat Kantarcioglu

Proceedings of the 5th IEEE International Conference on Trust, 2023

On Improving Fairness of AI Models with Synthetic Minority Oversampling Techniques.

Yan Zhou, Murat Kantarcioglu, Chris Clifton

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Attack Some while Protecting Others: Selective Attack Strategies for Attacking and Protecting Multiple Concepts.

Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Unfair AI: It Isn't Just Biased Data.

Chowdhury Mohammad Rakin Haider, Chris Clifton, Yan Zhou

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Robust Transparency Against Model Inversion Attacks.

Yasmeen Alufaisan, Murat Kantarcioglu, Yan Zhou

IEEE Trans. Dependable Secur. Comput., 2021

Multi-concept adversarial attacks.

Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham

CoRR, 2021

Improving Fairness of AI Systems with Lossless De-biasing.

Yan Zhou, Murat Kantarcioglu, Chris Clifton

CoRR, 2021

Does Explainable Artificial Intelligence Improve Human Decision-Making?

Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

MultiModal Deception Detection: Accuracy, Applicability and Generalizability.

Vibha Belavadi, Yan Zhou, Jonathan Z. Bakdash, Murat Kantarcioglu, Daniel C. Krawczyk, Linda Nguyen, Jelena Rakic, Bhavani Thuraisingham

Proceedings of the Second IEEE International Conference on Trust, 2020

Attacking Machine Learning Models for Social Good.

Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham

Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

2019

A survey of game theoretic approach for adversarial machine learning.

Yan Zhou, Murat Kantarcioglu, Bowei Xi

WIREs Data Mining Knowl. Discov., 2019

Adversarial Active Learning in the Presence of Weak and Malicious Oracles.

Yan Zhou, Murat Kantarcioglu, Bowei Xi

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

2018

Breaking Transferability of Adversarial Samples with Randomness.

Yan Zhou, Murat Kantarcioglu, Bowei Xi

CoRR, 2018

Privacy Preserving Synthetic Data Release Using Deep Learning.

Nazmiye Ceren Abay, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Latanya Sweeney

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Data Mining with Algorithmic Transparency.

Yan Zhou, Yasmeen Alufaisan, Murat Kantarcioglu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Hacking social network data mining.

Yasmeen Alufaisan, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham

Proceedings of the 2017 IEEE International Conference on Intelligence and Security Informatics, 2017

From Myths to Norms: Demystifying Data Mining Models with Instance-Based Transparency.

Yasmeen Alufaisan, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham

Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017

2016

Modeling Adversarial Learning as Nested Stackelberg Games.

Yan Zhou, Murat Kantarcioglu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Detecting Discrimination in a Black-Box Classifier.

Yasmeen Alufaisan, Murat Kantarcioglu, Yan Zhou

Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

2014

Adversarial Learning with Bayesian Hierarchical Mixtures of Experts.

Yan Zhou, Murat Kantarcioglu

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Shingled Graph Disassembly: Finding the Undecideable Path.

Richard Wartell, Yan Zhou, Kevin W. Hamlen, Murat Kantarcioglu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2012

Adversarial support vector machine learning.

Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Bowei Xi

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Sparse Bayesian Adversarial Learning Using Relevance Vector Machine Ensembles.

Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Self-Training with Selection-by-Rejection.

Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Randomizing Smartphone Malware Profiles against Statistical Mining Techniques.

Abhijith Shastry, Murat Kantarcioglu, Yan Zhou, Bhavani Thuraisingham

Proceedings of the Data and Applications Security and Privacy XXVI, 2012

2011

Differentiating Code from Data in x86 Binaries.

Richard Wartell, Yan Zhou, Kevin W. Hamlen, Murat Kantarcioglu, Bhavani Thuraisingham

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Compression for Anti-Adversarial Learning.

Yan Zhou, W. Meador Inge, Murat Kantarcioglu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011