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Works (7)
Updated: December 14th, 2024 05:01
2024 article
<i>Ants</i>: Attacking Spatial Temporal Graph Learning Networks Structurally
2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024, pp. 1023–1028.
author keywords: Adversarial Attack; Spatial-Temporal; Graph Neural Network
Sources: Web Of Science, NC State University Libraries
Added: December 9, 2024
2024 article
Secure and efficient general matrix multiplication on cloud using homomorphic encryption
Gao, Y., Quan, G., Homsi, S., Wen, W., & Wang, L. (2024, August 26). JOURNAL OF SUPERCOMPUTING.
author keywords: Homomorphic encryption; Privacy protection; Matrix multiplication; Cloud computing
Source: Web Of Science
Added: September 9, 2024
2023 article
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization
56TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2023, pp. 628–640.
author keywords: Privacy-Preserving machine learning; Deep learning; FPGA; Quantization; Two-party computing
TL;DR:
AQ2PNN is introduced, an end-to-end framework that effectively employs adaptive quantization schemes to develop high-performance 2PC-DNNs on FPGAs and introduces an innovative 2PC-ReLU method to replace Yao’s Garbled Circuits.
(via Semantic Scholar)
open access via dl.acm.org (publisher PDF)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: Web Of Science
Added: March 25, 2024
2023 article
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, pp. 5155–5165.
Source: Web Of Science
Added: April 15, 2024
2023 article
Endurance-Aware Deep Neural Network Real-Time Scheduling on ReRAM Accelerators
2023 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE, CSCI 2023, pp. 404–410.
author keywords: Resistive random-access memory (ReRAM); deep neural network (DNN); real-time; reliability; and streaming applications
Source: Web Of Science
Added: September 9, 2024
2023 article
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise
2023 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN, ICCAD.
TL;DR:
It is shown that surprisinglyGaussian noise is not the best option, contrary to what has been taken for granted in the literature, and a right-censored Gaussian noise significantly improves the k-th percentile performance of DNNs.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: Web Of Science
Added: January 16, 2024
2023 article
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration
2023 60TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC.
author keywords: spiking neural network; neural network pruning; sparse training; neuromorphic computing
TL;DR:
This framework is computational efficient and trains a model from scratch with dynamic sparsity without sacrificing model fidelity, and designs a new drop-and-grow strategy with decreasing number of non-zero weights, to maintain extreme high sparsity and high accuracy.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
Source: Web Of Science
Added: November 6, 2023
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