davidhin

[Centre for Research on Engineering Software Tech @crest_centre]

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.

[davidhin @davidhin_]

@SANERconf Can I please have the exact time (with timezone) for these deadlines?

[Triet Le @lhmtriet]

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.

[davidhin @davidhin_]

Honoured to win the Lifelenz award for achieving the highest honours mark for Bachelor of Engineering (software) @UniofAdelaide! @crest_uofa

[davidhin @davidhin_]

@MansoorehZ @nesara_d @esecfse @DrAsangiJ @alibabar Congrats!

[davidhin @davidhin_]

Finally finished my degree in software engineering! Excited to be working with @crest_uofa for the next 3 years 💪😖

[davidhin @davidhin_]

Proud to have been part of this project!

[Centre for Research on Engineering Software Tech @crest_centre]

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: https://t.co/DuLEp4gTMn

[Centre for Research on Engineering Software Tech @crest_centre]

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.

[davidhin @davidhin_]

Looking forward to helping out with these exciting projects!

[Triet Le @lhmtriet]

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.

[Centre for Research on Engineering Software Tech @crest_centre]

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 🇦🇺.

[Ali Babar @alibabar]

@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

[Centre for Research on Engineering Software Tech @crest_centre]

Congrats team for developing such a useful application for #developers & #security team for tracking down #vulnerable dependencies on the fly.

[Triet Le @lhmtriet]

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: https://t.co/VjVkw1BsdB

[Triet Le @lhmtriet]

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: https://t.co/p6Pasi1u0a

[Centre for Research on Engineering Software Tech @crest_centre]

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

[Triet Le @lhmtriet]

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. https://t.co/oYFFCWbknR