conftrace_

neural network inference

12 papers

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Co-occurring keywords

model compression (3302) homomorphic encryption (56) privacy-preserving inference (22) quantization-aware training (50) privacy-preserving computation (5) packet classification (2) openflow rule (1) rule update rate (1) data path (1) traffic analysis (7)

Papers

MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures OSDI 2024
Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed NSDI 2024
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference NIPS 2024
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes NIPS 2024
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference NIPS 2022
Scaling Open vSwitch with a Computational Cache NSDI 2022
FP8 Quantization: The Power of the Exponent NIPS 2022
Microsecond-scale Preemption for Concurrent GPU-accelerated DNN Inferences OSDI 2022
Circa: Stochastic ReLUs for Private Deep Learning NIPS 2021
FracBits: Mixed Precision Quantization via Fractional Bit-Widths AAAI 2021