Fortifying federated learning: security against model poisoning attacks

Fortifying federated learning: security against model poisoning attacks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Anan, Fabiha, Mamun, Kazi Shahed, Kamal, Md Sifat, Ahsan, Nizbath
Άλλοι συγγραφείς:	Hossain, Muhammad Iqbal
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2024
Θέματα:	Model poisoning Federated learning Machine learning Deep learning Computer networks > Security measures
Διαθέσιμο Online:	http://hdl.handle.net/10361/22774

Παρόμοια τεκμήρια

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Sentiment analysis on Bangladesh airlines review data using machine learning
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Comparative analysis and implementation of credit risk prediction through distinct machine learning models
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Personalization in federated recommendation system using SVD++ with explainability
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An interpretable transformer based approach to classify Malaria from blood cell images
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Document template identification and data extraction using machine learning and deep learning approach
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Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
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Blockchain-based edge computing for medical data storage & processing using federated learning
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An efficient deep learning approach to detect skin Cancer
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Application of CNN based architectures in detection of distracted drivers
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Classification of peripheral blood cell images using deep learning
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Damaged road detection using Image Processing and Deep Learning
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Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
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Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
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Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
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EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
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Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
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A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
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Pothole detection using lightweight network models
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Facial expression recognition: convolutional attentional masking network and ensemble approach
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Implementation of real-time learning on homomorphically encrypted visual inputs
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Analyzing the security of e-Health data based on a hybrid federated learning model
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Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
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DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
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Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
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Yoga posture recognition using the deep learning process
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Prostate cancer detection using deep learning neural network with transfer learning approach
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Bang-lish sentiment classification using deep learning
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Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
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Voice recognition using machine learning and central database to enhance security system
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Έκδοση: (2022)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
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