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Yan Zhou 0001
Person information
- affiliation: University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA
Other persons with the same name
- Yan Zhou — disambiguation page
- Yan Zhou 0002 — Suzhou Vocational University, College of Electronic Information Engineering, Jiangsu, China (and 1 more)
- Yan Zhou 0003
— Xiangtan University, School of Information Engineering, China (and 1 more)
- Yan Zhou 0004
— Hohai University, College of IOT Engineering / Key Laboratory of Sensor Networks and Environmental Sensing, Changzhou, China
- Yan Zhou 0005
— Nanjing Normal University, School of Physics and Technology, Jiangsu Provincial Engineering Laboratory of Audio Technology, China
- Yan Zhou 0006
— Wuhan University, School of Remote Sensing and Information Engineering / LIESMARS, China
- Yan Zhou 0007
— Chongqing University, School of Electrical Engineering, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Yan Zhou 0008
— Northeastern University, State Key Laboratory of Synthetical Automation for Process Industry, Shenyang, China
- Yan Zhou 0009
— University of Georgia, Department of Chemistry, Athens, GA, USA
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2020 – today
- 2023
- [j3]Yan Zhou
, Murat Kantarcioglu
, Bowei Xi
:
Exploring the Effect of Randomness on Transferability of Adversarial Samples Against Deep Neural Networks. IEEE Trans. Dependable Secur. Comput. 20(1): 83-99 (2023) - [c22]Vibha Belavadi
, Yan Zhou
, Murat Kantarcioglu
, Bhavani Thuraisingham
:
Attack Some while Protecting Others: Selective Attack Strategies for Attacking and Protecting Multiple Concepts. CCS 2023: 801-814 - [c21]Yan Zhou, Murat Kantarcioglu, Chris Clifton:
On Improving Fairness of AI Models with Synthetic Minority Oversampling Techniques. SDM 2023: 874-882 - [c20]Chengen Wang, Yan Zhou, Kangkook Jee, Murat Kantarcioglu:
An Investigation on the Fragility of Graph Neural Networks: The Impact of Node Feature Modification on Graph Classification Accuracy. TPS-ISA 2023: 169-176 - [i5]Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu:
Using AI Uncertainty Quantification to Improve Human Decision-Making. CoRR abs/2309.10852 (2023) - 2022
- [c19]Chowdhury Mohammad Rakin Haider, Chris Clifton, Yan Zhou:
Unfair AI: It Isn't Just Biased Data. ICDM 2022: 957-962 - 2021
- [j2]Yasmeen Alufaisan
, Murat Kantarcioglu
, Yan Zhou
:
Robust Transparency Against Model Inversion Attacks. IEEE Trans. Dependable Secur. Comput. 18(5): 2061-2073 (2021) - [c18]Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu:
Does Explainable Artificial Intelligence Improve Human Decision-Making? AAAI 2021: 6618-6626 - [i4]Yan Zhou, Murat Kantarcioglu, Chris Clifton:
Improving Fairness of AI Systems with Lossless De-biasing. CoRR abs/2105.04534 (2021) - [i3]Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham:
Multi-concept adversarial attacks. CoRR abs/2110.10287 (2021) - 2020
- [c17]Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham:
Attacking Machine Learning Models for Social Good. GameSec 2020: 457-471 - [c16]Vibha Belavadi, Yan Zhou, Jonathan Z. Bakdash
, Murat Kantarcioglu, Daniel C. Krawczyk, Linda Nguyen, Jelena Rakic, Bhavani Thuraisingham:
MultiModal Deception Detection: Accuracy, Applicability and Generalizability. TPS-ISA 2020: 99-106 - [i2]Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu:
Does Explainable Artificial Intelligence Improve Human Decision-Making? CoRR abs/2006.11194 (2020)
2010 – 2019
- 2019
- [j1]Yan Zhou, Murat Kantarcioglu, Bowei Xi:
A survey of game theoretic approach for adversarial machine learning. WIREs Data Mining Knowl. Discov. 9(3) (2019) - [c15]Yan Zhou, Murat Kantarcioglu, Bowei Xi:
Adversarial Active Learning in the Presence of Weak and Malicious Oracles. PAKDD (Workshops) 2019: 77-89 - 2018
- [c14]Yan Zhou, Yasmeen Alufaisan, Murat Kantarcioglu:
Data Mining with Algorithmic Transparency. PAKDD (1) 2018: 130-142 - [c13]Nazmiye Ceren Abay
, Yan Zhou
, Murat Kantarcioglu
, Bhavani Thuraisingham, Latanya Sweeney
:
Privacy Preserving Synthetic Data Release Using Deep Learning. ECML/PKDD (1) 2018: 510-526 - [i1]Yan Zhou, Murat Kantarcioglu, Bowei Xi:
Breaking Transferability of Adversarial Samples with Randomness. CoRR abs/1805.04613 (2018) - 2017
- [c12]Yasmeen Alufaisan, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham:
From Myths to Norms: Demystifying Data Mining Models with Instance-Based Transparency. CIC 2017: 257-266 - [c11]Yasmeen Alufaisan, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham:
Hacking social network data mining. ISI 2017: 54-59 - 2016
- [c10]Yasmeen Alufaisan, Murat Kantarcioglu, Yan Zhou:
Detecting Discrimination in a Black-Box Classifier. CIC 2016: 329-338 - [c9]Yan Zhou, Murat Kantarcioglu:
Modeling Adversarial Learning as Nested Stackelberg Games. PAKDD (2) 2016: 350-362 - 2014
- [c8]Richard Wartell, Yan Zhou, Kevin W. Hamlen, Murat Kantarcioglu:
Shingled Graph Disassembly: Finding the Undecideable Path. PAKDD (1) 2014: 273-285 - [c7]Yan Zhou, Murat Kantarcioglu:
Adversarial Learning with Bayesian Hierarchical Mixtures of Experts. SDM 2014: 929-937 - 2012
- [c6]Abhijith Shastry, Murat Kantarcioglu, Yan Zhou, Bhavani Thuraisingham:
Randomizing Smartphone Malware Profiles against Statistical Mining Techniques. DBSec 2012: 239-254 - [c5]Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham:
Self-Training with Selection-by-Rejection. ICDM 2012: 795-803 - [c4]Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham:
Sparse Bayesian Adversarial Learning Using Relevance Vector Machine Ensembles. ICDM 2012: 1206-1211 - [c3]Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, Bowei Xi:
Adversarial support vector machine learning. KDD 2012: 1059-1067 - 2011
- [c2]Yan Zhou, W. Meador Inge, Murat Kantarcioglu:
Compression for Anti-Adversarial Learning. PAKDD (2) 2011: 198-209 - [c1]Richard Wartell, Yan Zhou, Kevin W. Hamlen, Murat Kantarcioglu, Bhavani Thuraisingham:
Differentiating Code from Data in x86 Binaries. ECML/PKDD (3) 2011: 522-536
Coauthor Index
aka: Bhavani M. Thuraisingham
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last updated on 2024-08-15 23:45 CEST by the dblp team
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