NSTL国家科技图书文献中心

1. Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing NSTL国家科技图书文献中心

Matthieu Meeus | Florent Guepin ... - 《Computer Security: ESORICS 2023, 28th European Symposium on Research in Computer Security, The Hague, The Netherlands, September 25-29, 2023, Proceedings, Part II》 - European Symposium on Research in Computer Security - 2024, - 380～399 - 共20页

摘要：Synthetic data is seen as the most promising | solution to share individual-level data while preserving | privacy. Shadow modeling-based Membership Inference | Attacks (MIAs) have become the standard approach to | evaluate the privacy risk of synthetic data. While very

关键词： Synthetic data | Privacy | Membership inference attacks

2. Synthetic Is All You Need: Removing the Auxiliary Data Assumption for Membership Inference Attacks Against Synthetic Data NSTL国家科技图书文献中心

Florent Guepin | Matthieu Meeus ... - 《Computer Security: ESORICS 2023 International Workshops: CyberICS, DPM, CBT, and SECPRE, The Hague, The Netherlands, September 25-29, 2023, Revised Selected Papers, Part I》 - European Symposium on Research in Computer Security - 2024, - 182～198 - 共17页

摘要：Synthetic data is emerging as one of the most | promising solutions to share individual-level data while | safeguarding privacy. While membership inference attacks | (MIAs), based on shadow modeling, have become the | standard to evaluate the privacy of synthetic data, they

关键词： Synthetic data | Privacy | Membership inference attacks

3. FREEZE THE BACKBONES: A PARAMETER-EFFICIENT CONTRASTIVE APPROACH TO ROBUST MEDICAL VISION-LANGUAGE PRE-TRAINING NSTL国家科技图书文献中心

Jiuming Qin | Che Liu ... - 《ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), Vol.3: Seoul, South Korea.14-19 April 2024》 - IEEE International Conference on Acoustics, Speech and Signal Processing - 2024, - 1686～1690 - 共5页

摘要：Modern healthcare often utilises radiographic | images alongside textual reports for diagnostics | , encouraging the use of Vision-Language Self-Supervised | Learning (VL-SSL) with large pre-trained models to learn | versatile medical vision representations. However, most

关键词： Vision-Language Pre-training | Self-Supervised Learning | Medical Visual Representation Learning

4. LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation NSTL国家科技图书文献中心

Berke Doga Basaran | Weitong Zhang ... - 《Data Augmentation, Labelling, and Imperfections: Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings》 - MICCAI Workshop on Data Augmentation, Labelling, and Imperfections - 2024, - 73～83 - 共11页

摘要：Data augmentation has become a de facto | component of deep learning-based medical image | segmentation methods. Most data augmentation techniques used | in medical imaging focus on spatial and intensity | transformations to improve the diversity of training images

关键词： Data augmentation | Lesion populating | Lesion inpainting | Image synthesis | Lesion image segmentation

5. BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval NSTL国家科技图书文献中心

Yinda Chen | Che Liu ... - 《Medical Image Computing and Computer Assisted Intervention - MICCAI 2024,Part XI》 - International Conference on Medical Image Computing and Computer Assisted Intervention - 2024, - 124～134 - 共11页

摘要：The burgeoning integration of 3D medical | imaging into healthcare has led to a substantial | increase in the workload of medical professionals. To | assist clinicians in their diagnostic processes and | alleviate their workload, the development of a robust

关键词： 3D medical imaging | 3D text-image retrieval | BIMCV-R

6. Deep Learning and MCMC with aggVAE for Shifting Administrative Boundaries: Mapping Malaria Prevalence in Kenya NSTL国家科技图书文献中心

Elizaveta Semenova | Swapnil Mishra ... - 《Epistemic Uncertainty in Artificial Intelligence: First International Workshop, Epi UAI 2023, Pittsburgh, PA, USA, August 4, 2023, Revised Selected Papers》 - International Workshop on Epistemic Uncertainty in Artificial Intelligence - 2024, - 13～27 - 共15页

摘要：Model-based disease mapping remains a | fundamental policy-informing tool in the fields of public | health and disease surveillance. Hierarchical Bayesian | models have emerged as the state-of-the-art approach | for disease mapping since they are able to both

关键词： MCMC | VAE | Disease mapping

7. Mitigating Translationese in Low-resource Languages: The Storyboard Approach NSTL国家科技图书文献中心

Garry Kuwanto | Eno-Abasi Urua ... - 《2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation,Vol. 15》 - Joint International Conference on Computational Linguistics, Language Resources and Evaluation - 2024, - 11349～11360 - 共12页

摘要：Low-resource languages often face challenges | in acquiring high-quality language data due to the | reliance on translation-based methods, which can | introduce the translationese effect. This phenomenon | results in translated sentences that lack fluency and

关键词： Low-resource languages | Translationese | Translation Data

8. Deep Neural Quality of Service Prediction for Unmanned Aircraft System Communications NSTL国家科技图书文献中心

Patrick Purucker | Christian Reil ... - 《2024 International Wireless Communications and Mobile Computing: 20th International Wireless Communications and Mobile Computing (IWCMC 2024), 27-31 May 2024, Ayia Napa, Cyprus》 - International Wireless Communications and Mobile Computing - 2024, - 804～810 - 共7页

摘要：Commercial Unmanned Aircraft Systems (UAS | ) have a wide range of applications, including package | delivery, inspection and search and rescue missions. For | the operation of Unmanned Aircraft Vehicles (UAV | ) Beyond Visual Line of Sight (BVLOS), reliable long

关键词： Adaptation models | Heuristic algorithms | Quality of service | Computer architecture | Predictive models | Autonomous aerial vehicles | Modems

9. Towards Predicting Menstrual Cycle Phases Exploiting Paralinguistic Features NSTL国家科技图书文献中心

Anika A. Spiesberger | Adria Mallol-Ragolta ... - 《2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,[v.1]》 - Annual International Conference of the IEEE Engineering in Medicine and Biology Society - 2024, - 1～4 - 共4页

摘要：As a growing number of people focus on | understanding their bodies, the menstrual cycle and its impact | on reproduction are gaining attention. Several | studies have shown that the voice changes during the | menstrual cycle. However, existing research primarily

关键词： Accuracy | Target tracking | Machine learning | Feature extraction | Engineering in medicine and biology

10. CBAM_SAUNet: A novel attention U-Net for effective segmentation of corner cases NSTL国家科技图书文献中心

Srividya Tirunellai ... | Kumar Rajamani ... - 《2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,[v.1]》 - Annual International Conference of the IEEE Engineering in Medicine and Biology Society - 2024, - 1～4 - 共4页

摘要：U-Net has been demonstrated to be effective | for the task of medical image segmentation | . Additionally, integrating attention mechanism into U-Net has | been shown to yield significant benefits. The Shape | Attentive U-Net (SAUNet) is one such recently proposed

关键词： Deep learning | Image segmentation | Attention mechanisms | Shape | Magnetic resonance imaging | Myocardium | Decoding | Medical diagnostic imaging

摘要：Synthetic data is seen as the most promising | solution to share individual-level data while preserving | privacy. Shadow modeling-based Membership Inference | Attacks (MIAs) have become the standard approach to | evaluate the privacy risk of synthetic data. While very

关键词： Synthetic data | Privacy | Membership inference attacks

摘要：Synthetic data is emerging as one of the most | promising solutions to share individual-level data while | safeguarding privacy. While membership inference attacks | (MIAs), based on shadow modeling, have become the | standard to evaluate the privacy of synthetic data, they

关键词： Synthetic data | Privacy | Membership inference attacks

摘要：Modern healthcare often utilises radiographic | images alongside textual reports for diagnostics | , encouraging the use of Vision-Language Self-Supervised | Learning (VL-SSL) with large pre-trained models to learn | versatile medical vision representations. However, most

关键词： Vision-Language Pre-training | Self-Supervised Learning | Medical Visual Representation Learning

摘要：Data augmentation has become a de facto | component of deep learning-based medical image | segmentation methods. Most data augmentation techniques used | in medical imaging focus on spatial and intensity | transformations to improve the diversity of training images

关键词： Data augmentation | Lesion populating | Lesion inpainting | Image synthesis | Lesion image segmentation

摘要：The burgeoning integration of 3D medical | imaging into healthcare has led to a substantial | increase in the workload of medical professionals. To | assist clinicians in their diagnostic processes and | alleviate their workload, the development of a robust

关键词： 3D medical imaging | 3D text-image retrieval | BIMCV-R

摘要：Model-based disease mapping remains a | fundamental policy-informing tool in the fields of public | health and disease surveillance. Hierarchical Bayesian | models have emerged as the state-of-the-art approach | for disease mapping since they are able to both

关键词： MCMC | VAE | Disease mapping

摘要：Low-resource languages often face challenges | in acquiring high-quality language data due to the | reliance on translation-based methods, which can | introduce the translationese effect. This phenomenon | results in translated sentences that lack fluency and

关键词： Low-resource languages | Translationese | Translation Data

摘要：Commercial Unmanned Aircraft Systems (UAS | ) have a wide range of applications, including package | delivery, inspection and search and rescue missions. For | the operation of Unmanned Aircraft Vehicles (UAV | ) Beyond Visual Line of Sight (BVLOS), reliable long

关键词： Adaptation models | Heuristic algorithms | Quality of service | Computer architecture | Predictive models | Autonomous aerial vehicles | Modems

摘要：As a growing number of people focus on | understanding their bodies, the menstrual cycle and its impact | on reproduction are gaining attention. Several | studies have shown that the voice changes during the | menstrual cycle. However, existing research primarily

关键词： Accuracy | Target tracking | Machine learning | Feature extraction | Engineering in medicine and biology

摘要：U-Net has been demonstrated to be effective | for the task of medical image segmentation | . Additionally, integrating attention mechanism into U-Net has | been shown to yield significant benefits. The Shape | Attentive U-Net (SAUNet) is one such recently proposed

关键词： Deep learning | Image segmentation | Attention mechanisms | Shape | Magnetic resonance imaging | Myocardium | Decoding | Medical diagnostic imaging

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