Research

https://github.com/Deep-Learning-101 | https://huggingface.co/DeepLearning101

Industry Security Conference Speaker

TonTon H.-D. Huang, "Hunting the Ethereum Smart Contract: Color-inspired Inspection of Potential Attacks", AI Village, Defcon 26, Las Vegas, Nevada, 2018. (link)
TonTon H.-D. Huang, and Chia-Mu Yu, "Look! Ransomware is there: Large Scale Ransomware Detection with Naked Eye", Ruxcon Security Conference, Melbourne, Australia, 2017. (link)
TonTon H.-D. Huang, Chia-Mu Yu, and Hung-Yu Kao, "R2-D2: Color-Inspired Convolutional Neural Network (CNN)-based Android Malware Detection", OWASP AppSec USA, Orlando, Florida, 2017. (link)
TonTon H.-D. Huang, "New Mindset for Malware Battlefield: Bytecode Analysis and Physical Machine-based for Android", Hacks in Taiwan Conference (HITCON) CMT, Taipei, Taiwan, 2015. (Keynote Speech, link)
TonTon H.-D. Huang, "Building Adaptive Heterogeneous Architecture for Malware Behavior Analysis: MAN in Taiwan", Hacks in Taiwan Conference (HITCON) PLG, Taipei, Taiwan, 2014. (link)

Defcon 26, Las Vegas, Nevada, 2018.https://blog.twman.org/2018/08/Defcon26.html

OWASP AppSec USA, Orlando, Florida, 2017.https://blog.twman.org/2017/09/Hollywood-Studios.html

Ruxcon, Australia, 2017.https://blog.twman.org/2017/10/RuxCon.html

Thesis

Ph.D.：基於深度學習的網路威脅異常分析 (Deep learning based anomaly analysis in cyber threats)
Supervisor: Dr. Hung-Yu Kao；Intelligent Knowledge Management Laboratory (IKMLab)
Department of Computer Science and Information Engineering, National Cheng Kung University
M.S.：Department of Information and Learning Technology, National University of Tainan
Supervisor: Dr. Chang-Shing Lee，OASE Lab.；Co-Supervisor: Dr. Tsung-Yen Chuang

Academic Conferences/Journal Papers (Google Scholar ScholarGPS )

TonTon H.-D. Huang* and Hung-Yu Kao, "R2-D2: Color-inspired Convolutional Neural Network (CNN)-based Android Malware Detections", IEEE International Conference on Big Data 2018 (IEEE Big Data 2018), Seattle, WA, USA, Dec 10-13, 2018. (link)
TonTonH.-D. Huang, "Hunting the ethereum smart con-tract:Color-inspired inspection of potential attacks", arXiv preprint, arXiv:1807.01868, 2018. (link)
TonTon H.-D. Huang*, Chia-Mu Yu, and Hung-Yu Kao, "Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection", 2017 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2017), Taipei, Taiwan, Dec. 1-3, 2017. (link)
TonTon H.-D. Huang* and Chia-Mu Yu, "Poster: Adaptive Data-Driven and Region-Aware Detection for Deceptive Advertising", IEEE Symposium on Security and Privacy 2016 (IEEE S&P 2016), San Jose, CA, USA, May 23-25, 2016. (link)
TonTon H.-D. Huang*, C.-S. Lee, M.-H. Wang, and Hung-Yu Kao, "IT2FLS-based Malware Analysis Mechanism: Malware Analysis Network in Taiwan (MiT)", in Proceeding of the 2013 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2013), Manchester, United-Kingdom, Oct. 13-16, 2013. (link)
TonTon H.-D. Huang*, C.-S. Lee, H. Hagras, and Hung-Yu Kao, "TWMAN+：A Type-2 Fuzzy Ontology Model for Malware Behavior Analysis," in Proceeding of the 2012 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2012), COEX, Seoul, Korea, Oct. 14-17, 2012. (link)
TonTon H.-D. Huang*, G. Acampora, V. Loia, C.-S. Lee, and Hung-Yu Kao, "Applying FML and Fuzzy Ontologies to Malware Behavioral Analysis," in Proceeding of the 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, June. 27-30, 2011. (link)
TonTon H.-D. Huang*, C.-S. Lee, Hung-Yu Kao, Y.-L. Tsai, and J.-G. Chang, "Malware Behavioral Analysis System: TWMAN," in Proceeding of the 2011 IEEE Symposium on Computational Intelligence for Intelligent Agent (IEEE SSCI 2011), Paris, France, Apr. 11-15, 2011. (link)
TonTon H.-D. Huang*, T.-Y. Chuang, Y.-L. Tsai, and C.-S. Lee, "Ontology-based intelligent system for malware behavioral analysis," in Proceeding of the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Barcelona, Spain, Jul. 18-23, 2010. (link)

Journal Citation Reports | Scopus

TonTon H.-D. Huang* and Hung-Yu Kao, "C-3PO: Click-sequence-aware DeeP Neural Network (DNN)-based Pop-uPs RecOmmendation", Soft Computing, Vol. 23, no. 22, pp. 11793–11799, 2019. (link / 2020 CiteScore: 5.1 / 2021 Impact factor: 3.732；Q2)
TonTon H.-D. Huang*, C.-S. Lee, M.-H. Wang, and Hung-Yu Kao, "IT2FS-based ontology with soft-computing mechanism for malware behavior analysis," Soft Computing, vol. 18, no. 2, pp. 267-284, 2014. (link / 2020 CiteScore: 5.1 / 2020 Impact factor : 3.643；Q2)
TonTon H.-D. Huang*, G. Acampora, V. Loia, C.-S. Lee, H. Hagras, M.-H. Wang, Hung-Yu. Kao, and J.-G. Chang, “Fuzzy markup language for malware behavioral analysis,” in G. Acampora, C. S. Lee, M. H. Wang, and V. Loia (editors), On the Power of Fuzzy Markup Language, Springer-Verlag, Germany, 2012, pp. 113-131.

IEEE International Conference on Big Data 2018 (IEEE Big Data 2018), Seattle, WA, USA, Dec 10-13, 2018.
https://blog.twman.org/2018/12/IEEE-BigData-2018.html

IEEE Symposium on Security and Privacy 2016 (IEEE S&P 2016), San Jose, CA, USA, May 23-25, 2016.
https://blog.twman.org/2016/05/IEEE-SP-2016.html

HITCON CMT, Taipei, Taiwan, 2015.
http://hitcon.org/2015/CMT/agenda/#day2https://blog.twman.org/2015/09/hitcon2015.html

HITCON PLG, Taipei, Taiwan, 2014
http://hitcon.org/2014/agenda/#day4https://blog.twman.org/2014/08/HITCONX.html

2012 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2012), COEX, Seoul, Korea, Oct. 14-17, 2012.https://blog.twman.org/2012/10/IEEE-SMC-2012.html

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, June. 27-30, 2011.
https://blog.twman.org/2011/06/FUZZ-IEEE-2011.html

2011 IEEE Symposium on Computational Intelligence for Intelligent Agent (IEEE SSCI 2011), Paris, France, Apr. 11-15, 2011.
https://blog.twman.org/2011/04/IEEE-SSCI-2011.html

2010 IEEE World Congress on Computational Intelligence (WCCI 2010), Barcelona, Spain, Jul. 18-23, 2010.
https://blog.twman.org/2010/07/IEEE-WCCI-2010.html

On the Power of Fuzzy Markup Language, Springer-Verlag, Germany, 2012, pp. 113-131.

http://dx.doi.org/10.1007/978-3-642-35488-5_7

Soft Computing, Vol. 23, no. 22, pp. 11793–11799, 2019.

https://news.developer.nvidia.com/ai-improves-the-frequency-and-quality-of-mobile-app-notificationshttps://doi.org/10.1007/s00500-018-03730-5

Soft Computing, vol. 18, no. 2, pp. 267-284, 2014.

http://dx.doi.org/10.1007/s00500-013-1056-0

2013 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2013), Manchester, United-Kingdom, Oct. 13-16https://blog.twman.org/2013/10/IEEE-SMC-2013.html

Patent submitted

(PDF) 基於循環神經網路的虛擬幣交易欺詐檢測系統 (数据检测方法、装置、电子设备及存储介质) (2038-03-30 Anticipated expiration)
Data detection method, device, electronic equipment and storage medium
(PDF) 基於卷積神經網絡的以太坊智能合約惡意識別方法 (缺陷类型检测方法、装置、电子设备及介质) (2018-09-07 Publication of CN108509958A，Pending)
Defect type detection method, device, electronic equipment and medium
(PDF) 基於卷積神經網絡的安卓智能手機惡意軟件識別方法 (一种应用识别方法、装置、电子设备以及存储介质) (2018-02-06 Publication of CN107665307A，Pending)
A kind of application and identification method, device, electronic equipment and storage medium
(PDF) 基於深層類神經網絡的Android的智能型手機通知欄彈窗邏輯管理方法 (信息處理和模型訓練方法，裝置，電子設備，存儲介質)
Information processing and model training method, device, electronic equipment, storage medium (2017-11-28 Publication of CN107402754A，Pending)
(PDF) Information processing and model training method, apparatus, electronic device and storage medium (2019-01-03 Publication of WO2019001185A1)
(PDF) 基於卷積神經網絡的欺詐廣告頁面識別方法 (2018-04-06 Publication of CN107886344A，Pending)
The recognition methods of fraud advertisement and device based on convolutional neural networks
(PDF) 基於深層類神經網絡的騷擾電話識別方法 (2018-04-06 Publication of CN107889111A，Withdrawn)
Harassing call recognition methods and device based on deep layer neural network

Invited Talks

2022年10月20日：國立臺南大學資訊工程學系專題演講：AI for Cybersecurity & Security of AI
2021年11月22日：國立台北商業大學資訊與決策科學研究所專題演講
2021年04月21日：國立成功大學創意產業設計研究所
2021年03月30日：國立臺灣大學土木工程學系電腦輔助工程組專題演講：除了電腦視覺(CV)和聊天機器人(Chatbot)之外的AI
2021年03月13日：國立成功大學人工智慧與資訊系統碩士在職專班專題演講：看見你的聲音，聽見你的文字
2020年12月25日：國立雲林科技大學智慧辨識產業服務研究中心專題演講：機器人如何學習人類思考？
2020年11月12日：淡江大學資訊工程學系專題演講：手把手帶你跳坑ASR的聲紋識別及NLP的機器閱讀理解
2020年10月19日：國立臺南大學資訊工程學系：手把手帶你探索機器人如何理解你
2020年03月27日：國立臺南大學數位學習科技學系專題演講：校友來開講 - 手把手帶你翻轉菸酒生，未來不止這就是人蔘
2017年04月29日：國立成功大學資訊工程學系：智慧聯網融入跨領域工程人才培育計畫：機器學習技術與應用介紹
2017年02月20日：中華電信學院資訊學系：深度學習在網路安全的應用
2016年09月10日：HadoopCon 2016：From Understanding to Problem Solving： Applying Deep Learning to Defend Against the Deceptive Advertising and Phone Scams
2016年07月12日：國際資訊安全組織台灣高峰會：From Understanding to Problem Solving: Applying Deep Learning to Defend Against the Deceptive Advertising
2016年03月01日：RSA USA 2016 - Cheetah Mobile Booth Speech: Data-Driven Mobile Security.
2015年12月11日：元智大學資訊工程學系：Talk is cheap, Show me the code.
2015年05月28日：國立成功大學電腦與通訊工程研究所網路安全業界講師 - Android 逆向工程分析
2014年12月26日：Workshop on Understanding Botnets of Taiwan 2014 (BoT 2014) - 實體異質惡意行為分析架構
2014年11月20日：內政部警政署 - 網路安全與Linux 教育訓練
2013年09月11日：2013 NSC-Inria International Program - Associate Team II, TAO Team, Inria, France
2013年09月11日：2013 NSC-Inria International Program - Associate Team II, LIAS Lab. ENSMA, France
2012年11月19日：國立臺南大學 University of Essex 課程說明會
2012年11月07日：康寧大學數位應用學系校友經驗分享
2012年04月24日：2012 Research Collaboration Workshopfor Top UK-TW Universities
2011年11月22日：曼徹斯特大學計算機科學系 - Genetic Type-2 Fuzzy Ontology Model to Malware Behavioral Analysis
2009年06月17日：國立臺南大學數位學習科技學系社會新鮮人就業系列講座
2010年09月24日：國防部憲兵司令部刑事鑑識中心 - 封閉型惡意程式網路建置之探討
2010年09月13日：國家安全局網路安全專精訓練 - 惡意程式收集與分析 (二) 進階課程 - 惡意程式行為分析
2010年05月07日：國立高雄第一科技大學資訊管理學系 - 業界師資演講 : 抬丸郎
2009年04月10日：立德大學數位應用學系就業升學講座
2006年10月30日：立德大學資訊工程學系升學講座

Domestic Conference Papers

黃獻德, 李健興, 莊宗嚴, 蔡一郎, 邱敏乘, "基於知識本體之惡意程式分析平台," 2009全國計算機會議(NCS2009), 台北, 2009. (Blog)
黃獻德, 蔡一郎, 邱敏乘, 李健興, 莊宗嚴, "知識本體於惡意程式行為分析之應用," 2009年臺灣網際網路研討會 (TANET2009), 彰化, 2009. (Blog)
李健興, 黃獻德, 莊宗嚴, "基於模糊推論代理人之Web2.0府城美食知識管理平臺," 2007全國計算機會議(NCS2007), 台中, 2007.
黃獻德, 莊宗嚴, 李健興, "Web 2.0概念融入健康美食導覽-以臺南小吃導覽為例," 第二屆數位內容管理與應用學術研討會(DCMA2007), 台南, 2007.