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09/06/2023
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs
Large language models (LLMs), such as ChatGPT and GPT-4, are versatile a...
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08/11/2023
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation
The expansion of the Internet-of-Things (IoT) paradigm is inevitable, bu...
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07/20/2023
RCVaR: an Economic Approach to Estimate Cyberattacks Costs using Data from Industry Reports
Digitization increases business opportunities and the risk of companies ...
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06/16/2023
Fedstellar: A Platform for Decentralized Federated Learning
In 2016, Google proposed Federated Learning (FL) as a novel paradigm to ...
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01/04/2023
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
Manipulated videos often contain subtle inconsistencies between their vi...
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08/14/2022
MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction
Diabetic Retinopathy (DR) has become one of the leading causes of vision...
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01/23/2022
Reinforcement Routing on Proximity Graph for Efficient Recommendation
We focus on Maximum Inner Product Search (MIPS), which is an essential p...
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11/29/2021
AVA-AVD: Audio-visual Speaker Diarization in the Wild
Audio-visual speaker diarization aims at detecting “who spoken when“ usi...
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09/01/2021
Scalable Data Annotation Pipeline for High-Quality Large Speech Datasets Development
This paper introduces a human-in-the-loop (HITL) data annotation pipelin...
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07/13/2021
Exploiting Network Structures to Improve Semantic Representation for the Financial Domain
This paper presents the participation of the MiniTrue team in the FinSim...
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05/29/2021
A Simple Voting Mechanism for Online Sexist Content Identification
This paper presents the participation of the MiniTrue team in the EXIST ...
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04/20/2021