Thomas Humphries

According to our database, Thomas Humphries authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

FastLloyd.

Abdulrahman Diaa, Thomas Humphries, Florian Kerschbaum

Dataset, June, 2025

FastLloyd Clustering Datasets.

Abdulrahman Diaa, Thomas Humphries, Florian Kerschbaum

Dataset, May, 2025

FastLloyd.

Abdulrahman Diaa, Thomas Humphries, Florian Kerschbaum

Dataset, May, 2025

A new spectral conjugate subgradient method with application in computed tomography image reconstruction.

Milagros Loreto, Thomas Humphries, Chella Raghavan, Kenneth Wu, Sam Kwak

Optim. Methods Softw., January, 2025

FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy.

Abdulrahman Diaa, Thomas Humphries, Florian Kerschbaum

Proceedings of the 34th USENIX Security Symposium, 2025

2024

PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting.

Rasoul Akhavan Mahdavi, Nils Lukas, Faezeh Ebrahimianghazani, Thomas Humphries, Bailey Kacsmar, John A. Premkumar, Xinda Li, Simon Oya, Ehsan Amjadian, Florian Kerschbaum

Proceedings of the 33rd USENIX Security Symposium, 2024

Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions.

Abdulrahman Diaa, Lucas Fenaux, Thomas Humphries, Marian Dietz, Faezeh Ebrahimianghazani, Bailey Kacsmar, Xinda Li, Nils Lukas, Rasoul Akhavan Mahdavi, Simon Oya, Ehsan Amjadian, Florian Kerschbaum

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

Differentially Private Simple Genetic Algorithms.

Thomas Humphries, Florian Kerschbaum

Proc. Priv. Enhancing Technol., October, 2023

Gaggle: Genetic Algorithms on the GPU using PyTorch.

Lucas Fenaux, Thomas Humphries, Florian Kerschbaum

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Investigating Membership Inference Attacks under Data Dependencies.

Thomas Humphries, Simon Oya, Lindsey Tulloch, Matthew Rafuse, Ian Goldberg, Urs Hengartner, Florian Kerschbaum

Proceedings of the 36th IEEE Computer Security Foundations Symposium, 2023

2022

Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration.

Miti Mazmudar, Thomas Humphries, Jiaxiang Liu, Matthew Rafuse, Xi He

Proc. VLDB Endow., 2022

Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics.

Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

An Extension of the iMOACO$\mathbb {_R}$ Algorithm Based on Layer-Set Selection.

Ashraf M. Abdelbar, Thomas Humphries, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello

Proceedings of the Swarm Intelligence - 13th International Conference, 2022

2021

Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images.

Ruiwen Xing, Thomas Humphries, Dong Si

CoRR, 2021

2020

Differentially Private Learning Does Not Bound Membership Inference.

Thomas Humphries, Matthew Rafuse, Lindsey Tulloch, Simon Oya, Ian Goldberg, Florian Kerschbaum

CoRR, 2020

Superiorized method for metal artifact reduction.

Thomas Humphries, Boyang Jessie Wang

CoRR, 2020

Practical Over-Threshold Multi-Party Private Set Intersection.

Rasoul Akhavan Mahdavi, Thomas Humphries, Bailey Kacsmar, Simeon Krastnikov, Nils Lukas, John A. Premkumar, Masoumeh Shafieinejad, Simon Oya, Florian Kerschbaum, Erik-Oliver Blass

Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2018

Solutions to Abel's Integral Equations in Distributions.

Chenkuan Li, Thomas Humphries, Hunter Plowman

Axioms, 2018