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08/29/2023
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
Positive-unlabeled learning (PU learning) in hyperspectral remote sensin...
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08/23/2023
Aparecium: Revealing Secrets from Physical Photographs
Watermarking is a crucial tool for safeguarding copyrights and can serve...
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03/22/2023
One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship Learning
Hyperspectral anomaly detection (HAD) involves identifying the targets t...
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01/31/2023
Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors
Anomaly segmentation in high spatial resolution (HSR) remote sensing ima...
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01/29/2023
Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect Prefetcher
The irregular nature of memory accesses of graph workloads makes their p...
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10/04/2022
Split Federated Learning on Micro-controllers: A Keyword Spotting Showcase
Nowadays, AI companies improve service quality by aggressively collectin...
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08/18/2022
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data
Sampling is an essential part of raw point cloud data processing such as...
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05/09/2022
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning
This work aims to tackle Model Inversion (MI) attack on Split Federated ...
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07/20/2021
NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture Stealing
Neural network stealing attacks have posed grave threats to neural netwo...
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07/20/2021
Communication and Computation Reduction for Split Learning using Asynchronous Training
Split learning is a promising privacy-preserving distributed learning sc...
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01/20/2021
RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery
Adversarial attacks on Neural Network weights, such as the progressive b...
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07/24/2020
