v1v2 (latest)

Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning

26 July 2021

Karthik Garimella

N. Jha

Brandon Reagen

ArXiv (abs)PDF HTML

Papers citing "Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning"

18 / 18 papers shown

Peregrine: One-Shot Fine-Tuning for FHE Inference of General Deep CNNs

216

24 Nov 2025

CrypTorch: PyTorch-based Auto-tuning Compiler for Machine Learning with Multi-party Computation

Jinyu Liu

Gang Tan

Kiwan Maeng

24 Nov 2025

PAPER: Privacy-Preserving ResNet Models using Low-Degree Polynomial Approximations and Structural Optimizations on Leveled FHE

26 Sep 2025

Regularized PolyKervNets: Optimizing Expressiveness and Efficiency for Private Inference in Deep Neural Networks

Toluwani Aremu

168

23 Dec 2023

NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping

305

07 Dec 2023

Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference

Kiwan Maeng

G. E. Suh

202

09 Sep 2023

Compact: Approximating Complex Activation Functions for Secure ComputationProceedings on Privacy Enhancing Technologies (PoPETs), 2023

312

09 Sep 2023

AutoReP: Automatic ReLU Replacement for Fast Private Network InferenceIEEE International Conference on Computer Vision (ICCV), 2023

Hongwu Peng

...

Caiwen Ding

304

20 Aug 2023

Privacy Preserving In-memory Computing Engine

246

04 Aug 2023

Towards Fast and Scalable Private InferenceACM International Conference on Computing Frontiers (CF), 2023

Karthik Garimella

157

09 Jul 2023

Fast and Private Inference of Deep Neural Networks by Co-designing Activation FunctionsUSENIX Security Symposium (USENIX Security), 2023

Faezeh Ebrahimianghazani

...

Nils Lukas

Rasoul Akhavan Mahdavi

231

14 Jun 2023

Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption

291

26 Apr 2023

DeepReShape: Redesigning Neural Networks for Efficient Private Inference

N. Jha

Brandon Reagen

356

20 Apr 2023

Characterizing and Optimizing End-to-End Systems for Private InferenceInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022

Karthik Garimella

208

14 Jul 2022

QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design ExplorationConference on Machine Learning and Systems (MLSys), 2022

Zirui Xu

Fuxun Yu

Jinjun Xiong

Xiang Chen

01 Apr 2022

Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference

Maximilian Lam

Michael Mitzenmacher

Vijay Janapa Reddi

Gu-Yeon Wei

David Brooks

204

05 Mar 2022

AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference

Jung Ho Ahn

194

18 Jan 2022

CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale

Karthik Garimella

249

04 Nov 2021