Thomas Humphries

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Set Intersection

Distributed Computation

Differentially Private

Top Venues

USENIX Security Symposium

Proc. VLDB Endow.

Publications

Rasoul Akhavan Mahdavi, Nils Lukas, Faezeh Ebrahimianghazani, Thomas Humphries, Bailey Kacsmar, John A. Premkumar, Xinda Li, Simon Oya, Ehsan Amjadian, Florian Kerschbaum
PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting. USENIX Security Symposium (2024)
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
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. USENIX Security Symposium (2024)
Abdulrahman Diaa, Thomas Humphries, Florian Kerschbaum
FastLloyd: Federated, Accurate, Secure, and Tunable k-Means Clustering with Differential Privacy. CoRR (2024)
Rasoul Akhavan Mahdavi, Nils Lukas, Faezeh Ebrahimianghazani, Thomas Humphries, Bailey Kacsmar, John A. Premkumar, Xinda Li, Simon Oya, Ehsan Amjadian, Florian Kerschbaum
PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting. CoRR (2023)
Lucas Fenaux, Thomas Humphries, Florian Kerschbaum
Gaggle: Genetic Algorithms on the GPU using PyTorch. GECCO Companion (2023)
Thomas Humphries, Florian Kerschbaum
Differentially Private Simple Genetic Algorithms. Proc. Priv. Enhancing Technol. 2023 (4) (2023)
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
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions. CoRR (2023)
Thomas Humphries, Simon Oya, Lindsey Tulloch, Matthew Rafuse, Ian Goldberg, Urs Hengartner, Florian Kerschbaum
Investigating Membership Inference Attacks under Data Dependencies. CSF (2023)
Miti Mazmudar, Thomas Humphries, Jiaxiang Liu, Matthew Rafuse, Xi He
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration. CoRR (2022)
Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum
Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics. CCS (2022)
Ashraf M. Abdelbar, Thomas Humphries, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello
An Extension of the iMOACO$\mathbb {_R}$ Algorithm Based on Layer-Set Selection. ANTS Conference (2022)
Miti Mazmudar, Thomas Humphries, Jiaxiang Liu, Matthew Rafuse, Xi He
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration. Proc. VLDB Endow. 16 (4) (2022)
Thomas Humphries, Rasoul Akhavan Mahdavi, Shannon Veitch, Florian Kerschbaum
Selective MPC: Distributed Computation of Differentially Private Key Value Statistics. CoRR (2021)
Ruiwen Xing, Thomas Humphries, Dong Si
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images. CoRR (2021)
Thomas Humphries, Matthew Rafuse, Lindsey Tulloch, Simon Oya, Ian Goldberg, Florian Kerschbaum
Differentially Private Learning Does Not Bound Membership Inference. CoRR (2020)
Rasoul Akhavan Mahdavi, Thomas Humphries, Bailey Kacsmar, Simeon Krastnikov, Nils Lukas, John A. Premkumar, Masoumeh Shafieinejad, Simon Oya, Florian Kerschbaum, Erik-Oliver Blass
Practical Over-Threshold Multi-Party Private Set Intersection. ACSAC (2020)
Chenkuan Li, Thomas Humphries, Hunter Plowman
Solutions to Abel's Integral Equations in Distributions. Axioms 7 (3) (2018)