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07/16/2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models
The recent performance leap of Large Language Models (LLMs) opens up new...
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04/16/2023
Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads
With the rapid development of deep learning, object detection and tracki...
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03/10/2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks
Current machine-learning based software vulnerability detection methods ...
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03/09/2022
Noisy Label Learning for Security Defects
Data-driven software engineering processes, such as vulnerability predic...
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01/12/2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
The rapid development of Machine Learning (ML) has demonstrated superior...
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07/18/2021
A Survey on Data-driven Software Vulnerability Assessment and Prioritization
Software Vulnerabilities (SVs) are increasing in complexity and scale, p...
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02/26/2019
Saec: Similarity-Aware Embedding Compression in Recommendation Systems
Production recommendation systems rely on embedding methods to represent...
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10/17/2018