Stacey Truex

Stacey Truex

Georgia Institute of Technology

H-index: 21

North America-United States

About Stacey Truex

Stacey Truex, With an exceptional h-index of 21 and a recent h-index of 21 (since 2020), a distinguished researcher at Georgia Institute of Technology, specializes in the field of Data Privacy, Privacy-Preserving Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

PSLotto: A Privacy-Enhanced COVID Lottery System

An adversarial approach to protocol analysis and selection in local differential privacy

The tsc-pfed architecture for privacy-preserving fl

Private and federated learning

Adversarial Deception in Deep Learning: Analysis and Mitigation

Adversarial objectness gradient attacks in real-time object detection systems

Tifl: A tier-based federated learning system

LDP-Fed: Federated learning with local differential privacy

Stacey Truex Information

University

Position

Computer Science PhD Student School of Computer Science

Citations(all)

3626

Citations(since 2020)

3522

Cited By

699

hIndex(all)

21

hIndex(since 2020)

21

i10Index(all)

25

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Stacey Truex Skills & Research Interests

Data Privacy

Privacy-Preserving Data Mining

Top articles of Stacey Truex

PSLotto: A Privacy-Enhanced COVID Lottery System

2022/12/14

Stacey Truex
Stacey Truex

H-Index: 15

An adversarial approach to protocol analysis and selection in local differential privacy

IEEE Transactions on Information Forensics and Security

2022/4/25

The tsc-pfed architecture for privacy-preserving fl

2021/12/13

Private and federated learning

2021/10/5

Adversarial Deception in Deep Learning: Analysis and Mitigation

2020/10/28

Adversarial objectness gradient attacks in real-time object detection systems

2020/10/28

LDP-Fed: Federated learning with local differential privacy

2020/4/27

A framework for evaluating gradient leakage attacks in federated learning

arXiv preprint arXiv:2004.10397

2020/4/22

TOG: targeted adversarial objectness gradient attacks on real-time object detection systems

arXiv preprint arXiv:2004.04320

2020/4/9

Cross-layer strategic ensemble defense against adversarial examples

2020/2/17

A framework for evaluating client privacy leakages in federated learning

2020

Data poisoning attacks against federated learning systems

2020

Understanding object detection through an adversarial lens

2020

See List of Professors in Stacey Truex University(Georgia Institute of Technology)

Co-Authors

academic-engine