Hsien-De Huang (a.k.a. TonTon) has finished multiple cyber-security research, including blockchain, smart-contract vulnerability analysis, cryptocurrency ranking, and malware analysis. These experiences provided him with in-depth knowledge of cyber-security research and network operations when he was a senior security engineer. In the past five years, he has delivered the state-of-the-art Deep Learning algorithm (including Speech Processing, Natural Language Processing, and Computer Vision) to his work products, which bring ideas from proof-of-concept to production, and always applied these techniques as problem-solving skills to fulfill the customers’ requirements to make the robots understand the human meaning and improve the quality of the user experience. Meanwhile, he founded the local community "Deep Learning 101" and "Taiwan AI Group", which are the earliest AI community in Taiwan and focus on enhancing communication with each other who are working in the AI or the security industry. He has published numerous research works (including patents and academic papers) and presented them at AI Village@Defcon, RuxCon, OWASP AppSec USA, and HITCON. Apart from work, he received the Ph.D. degree in Computer Science and Information Engineering from the National Cheng Kung University in January 2019 (his thesis is "Deep learning-based anomaly analysis in cyber threats").
黃 獻 德 (TonTon) 從事網路攻防與威脅、圖像識別、自然語言與語音處理、區塊鏈與智能合約漏洞分析和及推薦系統等需求定義及產品化整合等相關研究工作超過十年；目前為資深技術架構師，其成果除陸續發表在美國Defcon、OWASP AppSec USA、澳洲 RuxCon和台灣HITCON等國際資安會議及多篇學術論文與專利申請，亦多次受邀至海內外大學或政府單位演講；同時在職進修以論文「基於深度學習的網路威脅異常分析」取得國立成功大學資訊工程博士學位。他過去陸續服務於台灣雪豹科技 (服務型機器人、智慧助理之語音互動技術開發及Android漏洞與惡意程式偵測分析)、台灣威瑞特系統 (SIEM情資維運、資安事件處理、Android 惡意程式偵測分析)、安碁資訊及國家高速網路與計算中心 (SIEM、SOC防駭監控、資安事件與整體規劃、TWAREN學術網路維運與x86 惡意程式偵測分析)。攻讀博士班時，參與科技部台法聯合團隊交流計畫至法國國家信息與自動化研究所及台灣與英國頂尖大學合作研究計畫至英國艾賽克斯大學訪問研究。同時，發起台灣最早的人工智慧社團Deep Learning 101 Meetup & Taiwan AI Group，專注於加強人工智慧及資訊安全行業間的交流。