Data-Free Low-Bit Quantization for Remote Sensing Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3122875
Abstract: Convolutional neural networks (CNNs) have been extensively used in remote sensing (RS) detection models. Although the memory size of detection models is massive, quantization can offer access to using these models in satellite embedded devices.… read more here.
Keywords: data free; remote sensing; quantization; detection ... See more keywords
Uncovering Risks of Data-Free Feature Vector Inversion Attacks Against Vector Databases
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2025.3605268
Abstract: The vector database stores data as high-dimensional feature vectors. Some recently proposed attack techniques enable an adversary to launch feature vector inversion (FVI) attacks against vector databases. In FVI attacks, an adversary trains an FVI… read more here.
Keywords: vector; fvi attacks; data free; feature ... See more keywords
A Stable and Efficient Data-Free Model Attack With Label-Noise Data Generation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3550066
Abstract: The objective of a data-free closed-box adversarial attack is to attack a victim model without using internal information, training datasets or semantically similar substitute datasets. Concerned about stricter attack scenarios, recent studies have tried employing… read more here.
Keywords: attack; data free; generation; efficient data ... See more keywords
FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3345910
Abstract: Due to privacy issues, the data island problem of machine fault diagnosis widely exists in real industry. Federated learning (FL) has received much attention as a decentralized machine-learning paradigm that learns a global model in… read more here.
Keywords: machine fault; data free; fault diagnosis; fault ... See more keywords
CDFKD-MFS: Collaborative Data-Free Knowledge Distillation via Multi-Level Feature Sharing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2022.3192663
Abstract: Recently, the compression and deployment of powerful deep neural networks (DNNs) on resource-limited edge devices to provide intelligent services have become attractive tasks. Although knowledge distillation (KD) is a feasible solution for compression, its requirement… read more here.
Keywords: data free; feature sharing; level feature; multi level ... See more keywords
Clinical findings and normative ocular data for free‐living Anna's (Calypte anna) and Black‐chinned (Archilochus alexandri) Hummingbirds
Sign Up to like & getrecommendations! Published in 2019 at "Veterinary Ophthalmology"
DOI: 10.1111/vop.12560
Abstract: OBJECTIVE To estimate the prevalence of ocular disease and obtain normative ocular data for free-living hummingbirds. ANIMALS STUDIED Two hundred and sixty-three free-living, adult Hummingbirds from coastal and inland central California were studied, including Anna's… read more here.
Keywords: data free; anna; ocular data; normative ocular ... See more keywords