Circa: Stochastic ReLUs for Private Deep Learning

15 June 2021

Papers citing "Circa: Stochastic ReLUs for Private Deep Learning"

9 / 9 papers shown

Title
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU H. Roh Jinsu Yeo Yeongil Ko Gu-Yeon Wei David Brooks Woo-Seok Choi 84 2 0 20 Jan 2025
ReLU's Revival: On the Entropic Overload in Normalization-Free Large Language Models N. Jha Brandon Reagen OffRL AI4CE 33 0 0 12 Oct 2024
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks Yongqin Wang Pratik Sarkar Nishat Koti A. Patra Murali Annavaram 19 2 0 08 Nov 2023
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE Wei Ao Vishnu Naresh Boddeti AAML 30 18 0 12 Oct 2023
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge Nicholas J. Teague AAML 13 1 0 18 Feb 2022
Selective Network Linearization for Efficient Private Inference Minsu Cho Ameya Joshi S. Garg Brandon Reagen C. Hegde 6 43 0 04 Feb 2022
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 33 3 0 04 Nov 2021
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU Sijun Tan Brian Knott Yuan Tian David J. Wu BDL FedML 57 183 0 22 Apr 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018