Joined March 2020
In our 2nd paper accepted @msrconf #msr2022, we present LineVD, a novel #GraphNeuralNetwork model, that achieves #SOTA performance in detecting code statements leading to #vulnerability. @davidhin_, Andrey Kan, @Huaming_Chen & @alibabar. Special thanks @CSCRCoz for the support.
SE researchers r starting to highlight the importance of data quality 4 #ML. In our accepted paper at @msrconf, we identify the impact of mislabeled instances for #vulnerability learning, and show that noisy label learning improves performance @CroftRoland @alibabar @Huaming_Chen
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davidhin retweeted
Very happy & proud to share my paper "DeepCVA: Automated Commit-level #Vulnerability Assessment with Deep Multi-task Learning", w/ @davidhin_, @CroftRoland & Prof. @alibabar @crest_uofa, was accepted as a full technical paper in @ASE_conf #ase2021 (CORE A*). Preprint coming soon.
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Honoured to win the Lifelenz award for achieving the highest honours mark for Bachelor of Engineering (software) @UniofAdelaide! @crest_uofa
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Finally finished my degree in software engineering! Excited to be working with @crest_uofa for the next 3 years 💪😖
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Proud to have been part of this project!
Happy to share the paper "A Large-scale Study of #Security #Vulnerability Support on Developer Q&A Websites" led by our #PhD students @lhmtriet, @CroftRoland & @davidhin_ w/ Prof. @alibabar has been accepted as a full paper at @ConfEase 2021. Preprint: arxiv.org/abs/2008.04176
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A wonderful get-together event for #CRESTSummerProjects2020. Special thanks to the support from Prof. @alibabar, @MansoorehZ, @DrAsangiJ & @HelgeJanicke @CSCRCoz. We also greatly value the hard work from all talented students & supervisors to deliver the best possible outcomes.
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Looking forward to helping out with these exciting projects!
Thrilled to mentor 2 brilliant students on a project funded by @crest_uofa & @CSCRCoz using #SOTA #DeepLearning models to identify missing #security patches hidden in #OpenSource projects to provide in-time fixes for different types of #vulnerabilities #CRESTSummerProjects2020.
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A great event to showcase the #research output and #industry-relevant applications that CREST team led by Prof. @alibabar has achieved & developed for the last one year across different projects funded by @CSCRCoz. Proud to contribute to ensuring #cybersecurity in #Australia 🇦🇺.
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@CSCRCoz 2020 symposium gets underway, @rachael_falk & @HelgeJanicke welcoming & briefing attendees; glad 2 see @crest_uofa members joining the event that would provide an overview of the R&D activities aimed at help build 🇦🇺capabilities in #cybersecurity, @UniofAdelaide
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Congrats team for developing such a useful application for #developers & #security team for tracking down #vulnerable dependencies on the fly.
Very proud to present #VulDoctor, an application to track #vulnerabilities in #software #dependencies in #realtime. This project is developed by a brilliant team @davidhin_ Justin Lee & Jocelyn Tan, also supervised by @MansoorehZ's team in #SERP & funded by @CSCRCoz. Demo below:
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davidhin retweeted
Happy to share our recent work with @CroftRoland, @davidhin_, @alibabar to understand the "what/where/who/how" facets of the discussions about #security #vulnerability on technical Q&A websites for #secure #softwareengineering @crest_uofa Preprint: arxiv.org/abs/2008.04176
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davidhin retweeted
A trailer of "PUMiner: Mining Security Posts from Developer Q&A Websites with PU Learning" at @crest_uofa w/ @davidhin_ @CroftRoland @alibabar in @msrconf '20 #msr20trailers Method/data can be used 4 #security #Analytics @Mubin_Swarup @_Chadni_ Full talk: youtu.be/Rb6gtzEF34Q
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Our Honours student @davidhin_ presented 'VulDoctor', his on-going project to track, analyze and suggest remediation for vulnerable dependencies in the wild using open sources. VulDoctor is one step towards patching #vulnerabilities early to avoid #CyberAttack. @Cyber_Sec_CRC
davidhin retweeted
Glad to share that our paper PUMiner: Mining #security posts from Q&A websites using PU learning with @davidhin1, @CroftRoland and Prof. @alibabar @CREST_center accepted in @msrconf. A new #ML way to retrieve #informationsecurity with no negative class. arxiv.org/abs/2003.03741
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