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1. Enhancing Authorship Attribution Through Embedding Fusion: A Novel Approach with Masked and Encoder-Decoder Language Models NSTL国家科技图书文献中心

Arjun Ramesh Kaushik |  R. P. Sunil Rufus... -  《Pattern Recognition,Part XIX》 -  International Conference on Pattern Recognition - 2025, - 460～471 - 共12页

摘要：The increasing prevalence of AI-generated content alongside human-written text underscores the need for reliable discrimination methods. To address this challenge, we propose a novel framework with te...
关键词： Authorship attribution |  Large language models |  Generative AI
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2. Towards Building Secure UAV Navigation with FHE-Aware Knowledge Distillation NSTL国家科技图书文献中心

Arjun Ramesh Kaushik |  Charanjit Jutla... -  《Pattern Recognition,Part XVIII》 -  International Conference on Pattern Recognition - 2025, - 373～388 - 共16页

摘要：In safeguarding mission-critical systems, such as Unmanned Aerial Vehicles (UAVs), preserving the privacy of path trajectories during navigation is paramount. While the combination of Reinforcement Le...
关键词： Autonomous unmanned aerial vehicles |  Reinforcement learning |  Fully homomorphic encryption |  Privacy |  Knowledge distillation
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3. Secure Sleep Apnea Detection with FHE and Deep Learning on ECG Signals NSTL国家科技图书文献中心

Bharat Yalavarthi |  Arjun Ramesh Kaushik... -  《Pattern Recognition,Part XV》 -  International Conference on Pattern Recognition - 2025, - 49～64 - 共16页

摘要：Sleep apnea, a prevalent sleep disorder affecting individuals of all demographics, poses a threat of significant disruption to daily life. The analysis of Electrocardiogram (ECG) data facilitates the ...
关键词： Convolutional neural networks |  Fully homomorphic encryption |  Homomorphic fourier transform |  Sleep apnea detection
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4. Enhancing Privacy and Security of Autonomous UAV Navigation NSTL国家科技图书文献中心

Vatsal Aggarwal |  Arjun Ramesh Kaushik... -  《2024 IEEE Conference on Artificial Intelligence,[v.1]》 -  IEEE Conference on Artificial Intelligence - 2024, - 518～523 - 共6页

摘要：Autonomous Unmanned Aerial Vehicles (UAVs) have become essential tools in defense, law enforcement, disaster response, and product delivery. These autonomous navigation systems require a wireless comm...
关键词： Deep learning |  Wireless communication |  Navigation |  Convolution |  Disasters |  Autonomous aerial vehicles |  Libraries
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5. Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption NSTL国家科技图书文献中心

Bharat Yalavarthi |  Arjun Ramesh Kaushik... -  《2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition,[v.1]》 -  IEEE International Conference on Automatic Face and Gesture Recognition - 2024, - 1～9 - 共9页

摘要：Modern face recognition systems utilize deep neural networks to extract salient features from a face. These features denote embeddings in latent space and are often stored as templates in a face recog...
关键词： Representation learning |  Privacy |  Accuracy |  Face recognition |  Feature extraction |  Polynomials |  Cryptography
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6. Privacy-enhanced Graph Edge Convolutional Networks NSTL国家科技图书文献中心

Tejas Prakash Agrawa... |  Bharat Yalavarthi... -  《2024 IEEE Western New York Image and Signal Processing Workshop》 -  IEEE Western New York Image and Signal Processing Workshop - 2024, - 1～5 - 共5页

摘要：Graphs are a fundamental structure in nature and data, representing relationships across domains such as biology, social networks, and neuroscience. With the rise of Graph Neural Networks (GNNs), rese...
关键词： Neuroscience |  Convolution |  Social networking (online) |  Single instruction multiple data |  Image edge detection |  Computational modeling |  Brain modeling |  Data models |  Servers |  Homomorphic encryption
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