Austin Ebel

According to our database, Austin Ebel authored at least 11 papers between 2023 and 2025.

Collaborative distances:

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

2025

Network and Compiler Optimizations for Efficient Linear Algebra Kernels in Private Transformer Inference.

Karthik Garimella, Negar Neda, Austin Ebel, Nandan Kumar Jha, Brandon Reagen

CoRR, December, 2025

HE-LRM: Encrypted Deep Learning Recommendation Models using Fully Homomorphic Encryption.

Karthik Garimella, Austin Ebel, Gabrielle De Micheli, Brandon Reagen

CoRR, June, 2025

EinHops: Einsum Notation for Expressive Homomorphic Operations on RNS-CKKS Tensors.

Karthik Garimella, Austin Ebel, Brandon Reagen

Proceedings of the 13th Workshop on Encrypted Computing & Applied Homomorphic Computing, 2025

Network and Compiler Optimizations for Efficient Linear Algebra Kernels in Private Transformer Inference (Invited Paper).

Karthik Garimella, Negar Neda, Austin Ebel, Nandan Kumar Jha, Brandon Reagen

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

Orion: A Fully Homomorphic Encryption Framework for Deep Learning.

Austin Ebel, Karthik Garimella, Brandon Reagen

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Economics and optimal investment policies of Attackers and Defenders in cybersecurity.

Austin Ebel, Debasis Mitra

J. Cybersecur., January, 2024

Osiris: A Systolic Approach to Accelerating Fully Homomorphic Encryption.

Austin Ebel, Brandon Reagen

CoRR, 2024

CiFlow: Dataflow Analysis and Optimization of Key Switching for Homomorphic Encryption.

Negar Neda, Austin Ebel, Benedict Reynwar, Brandon Reagen

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

2023

Orion: A Fully Homomorphic Encryption Compiler for Private Deep Neural Network Inference.

Austin Ebel, Karthik Garimella, Brandon Reagen

CoRR, 2023

Generating High-Performance Number Theoretic Transform Implementations for Vector Architectures.

Naifeng Zhang, Austin Ebel, Negar Neda, Patrick Brinich, Benedict Reynwar, Andrew G. Schmidt, Mike Franusich, Jeremy Johnson, Brandon Reagen, Franz Franchetti

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Towards Fast and Scalable Private Inference.

Jianqiao Mo, Karthik Garimella, Negar Neda, Austin Ebel, Brandon Reagen

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023