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06/06/2023
Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
Prompt engineering is an essential technique for enhancing the abilities...
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05/25/2023
Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback
Generating and editing a 3D scene guided by natural language poses a cha...
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04/25/2023
Class Attention Transfer Based Knowledge Distillation
Previous knowledge distillation methods have shown their impressive perf...
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03/24/2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
Recent research endeavors have shown that combining neural radiance fiel...
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12/28/2022
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning
Federated Learning (FL) has received increasing attention due to its pri...
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11/20/2022
Deepfake Detection: A Comprehensive Study from the Reliability Perspective
The mushroomed Deepfake synthetic materials circulated on the internet h...
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06/08/2022
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation
Federated learning (FL), an attractive and promising distributed machine...
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12/23/2021
Learning to Walk with Dual Agents for Knowledge Graph Reasoning
Graph walking based on reinforcement learning (RL) has shown great succe...
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05/30/2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks
The concept of Federated Learning has emerged as a convergence of distri...
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08/31/2020
A Comprehensive Survey on Smart Contract Construction and Execution: Paradigms, Tools and Systems
Smart contract has been regarded as one of the most promising and appeal...
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09/16/2019
VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service
Machine Learning as a Service (MLaaS) allows clients with limited resour...
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02/19/2019
Towards Edge-assisted Internet of Things: From Security and Efficiency Perspectives
As we are moving towards the Internet of Things (IoT) era, the number of...
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06/11/2018
