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陳尚澤 (Shang-Tse Chen) 職稱 助理教授 電子郵件 個人網站 https://www.csie.ntu.edu.tw/~stchen/ 辦公室 515 系分機 515 研究專長 機器學習, 資料探勘, 資訊安全, 賽局理論 實驗室 人工智慧安全實驗室 / 網路管理團隊(NASA)
- 陳尚澤 教授
以安全性來說，傳統機器學習會假設 training 和 testing 的 ...
- 陳尚澤 教授
陳尚澤 - 國立台灣大學人工智慧與機器人研究中心. 單位介紹. 陳尚澤. Shang-Tse Chen. 職稱： 國立臺灣大學資訊工程學系 / 資訊網路與多媒體研究所 助理教授. 信箱： stchen@csie.ntu.edu.tw. 研究專長： 機器學習；資料探勘；資訊安全；賽局理論. 個人網站： http://www.csie.ntu.edu.tw/~stchen.
- Education
- Selected Honors and Awards
- Industry Research Experience
- Academic Research Experience
- Student Advising
- Publications
- Teaching
- Grants and Funding
- Invited Talks
- Press
2013 — 2019Ph.D. in Computer Science Georgia Institute of Technology, Atlanta, GA Thesis: AI-infused Security: Robust Defense by Bridging Theory and Practice Committee: Polo Chau (advisor), Nina Balcan (co-advisor), Wenke Lee, Le Song, Kevin Roundy, and Cory Cornelius 2006 — 2010B.S. in Computer Science Information Engineering National Taiwan Unive...
2020ACM Trans. Interactive Intelligent Systems (TiiS) 2018 Best Paper, Honorable Mention 2018 — 2019 IBM PhD Fellowship For my Ph.D. research on “AI-infused Security: Robust Defense by Bridging Theory and Practice”2018KDD’18 Audience Appreciation Award, Runner Up For “Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Comp...
Summer 2018Intel Labs, Hillsboro, OR Graduate Machine Learning Security Intern Mentor: Cory Cornelius, Jason Martin Explored regularization techniques as defense against adversarial attack. Summer 2017Intel Labs, Hillsboro, OR Graduate Security Intern Mentor: Cory Cornelius, Jason Martin Developed ShapeShifter, the 1st physical adversarial attackth...
2013 — 2019Georgia Institute of Technology, Atlanta, GA Graduate Research Assistant, School of Computational Science and Engineering Advisors: Polo Chau and Nina Balcan 2011 — 2013Academia Sinica, Taipei, Taiwan Graduate Research Assistant, Institute of Information Science Advisors: Chi-Jen Lu and Hsuan-Tien Lin 2008 — 2010National Taiwan Universit...
PhD Students
2021 — presentBo-Han Kung 2021 — presentHsuan Su(co-advised with Prof. Hung-Yi Lee)
MS Students
2020 — presentPei-Chi Wang 2020 — presentShao-Lun Ma 2020 — presentKai-Chen Lin 2020 — presentJun-Jie Wang 2021 — presentYu-Yu Wu 2021 — presentHung-Jui Wang 2021 — presentJeremy Wu
Undergraduate Students
2020 — presentWei-Lun Kao 2021 — presentYu-Che Huang 2021 — presentYu-Hsun Chou 2021 — presentJan-Ting Du
Preprints
Annealing Self-Distillation Rectification Improves Adversarial Training Yu-Yu Wu, Hung-Jui Wang, and Shang-Tse Chen arXiv:2305.12118, May 2023. Learning to Generate Prompts for Dialogue Generation through Reinforcement Learning Hsuan Su, Pohan Chi, Shih-Cheng Huang, Chung Ho Lam, Saurav Sahay, Shang-Tse Chen, and Hung-yi Lee arXiv:2302.05888, Feb. 2023. Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang, Yu-Yu Wu, and Shang-Tse Chen arXiv:2302.00209, Nov. 2...
Refereed Conference Papers
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization Bo-Han Kung and Shang-Tse Chen To appear in AAAI, Vancouver, Canada. Feb. 2024. AdvCAPTCHA: Creating Usable and Secure Audio CAPTCHA with Adversarial Machine Learning Hao-Ping (Hank) Lee, Wei-Lun Kao, Hung-Jui Wang, Ruei-Che Chang, Yi-Hao Peng, Fu-Yin Cherng, and Shang-Tse Chen To appear in Symposium on Usable Security and Privacy (USEC), San Diego, CA. Feb. 2024. UnMask: Adversarial Detection and Defense T...
Journal Articles and Book Chapters
Chronodes: Interactive Multi-focus Exploration of Event Sequences Peter J. Polack, Shang-Tse Chen, Minsuk Kahng, Kaya De Barbaro, Rahul Basole, Moushumi Sharmin, Duen Horng (Polo) Chau ACM Transactions on Interactive Intelligent Systems (TiiS) Special Issue on Interactive Visual Analysis of Human and Crowd Behaviors, 2018. Video | Best Paper, Honorable Mention Exploratory Visual Analytics of Mobile Health Data: Sensemaking Challenges and Opportunities Peter J. Polack, Moushumi Sharmin, Kaya d...
Courses
Spring 2022Foundations of Artificial Intelligence Spring 2022Introduction to Medical Informatics Fall 2021Security and Privacy of Machine Learning Spring 2021Introduction to Medical Informatics Fall 2020Security and Privacy of Machine Learning Spring 2020Security and Privacy of Machine Learning
Guest Lectures
Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta Georgia Institute of Technology, Atlanta, GA CSE-6242 Georgia Tech. Instructor: Polo Chau. Fall 2018245 students (32 undergrads) Spring 2018200 students (45 undergrads) Fall 2017273 students (40 undergrads) Fall 2015Data analysis and visualization Georgia Institute of Technology, Atlanta, GA CSE-6040 Georgia Tech. Instructor: Richard Vuduc. 37 students Spring 2015Practical ML for Big Data Georgia Institute of Technolo...
Teaching Assistant
Fall 2015CSE-6040: Computing for Data Analytics Instructor: Richard Vuduc Georgia Institute of Technology, Atlanta, GA Introductory data analytics course for MS in Analytics students. (37 students) Spring 2015CS-7545: Machine Learning Theory Instructor: Santosh Vempala Georgia Institute of Technology, Atlanta, GA Advanced ML theory course primarily taken by PhD students. (26 students)
2018IBM PhD Fellowship $95,000 over 2 years, covering full Tuition + $35,000 stipend for 2 years 2017SaTC: CORE: Medium: Understanding and Fortifying Machine Learning Based Security Analytics NSF CNS 1704701 PI: Polo Chau Co-PIs: Taesoo Kim, Wenke Lee, Le Song Funded: $1,200,000, 8/1/2017 - 7/31/2021 Co-authored winning proposal, contributing a the...
Communication Efficient Distributed Agnostic Boosting Apr. 2016 HotCSE Seminar, Georgia Tech, Atlanta, GA Boosting with Online Binary Learners for the Multiclass Bandit Problem June 2014Appier Inc., Taipei, Taiwan.
Oct. 2018“Study reveals new vulnerability in self-driving cars” Tech HQ.Sept. 2018“Erasing Stop Signs: ShapeShifter Shows Self-Driving Cars Can Still Be Manipulated” Georgia Tech, College of Computing.June 2018“Georgia Tech Teams up with Intel to Protect Artificial Intelligence from Malicious Attacks Using SHIELD.” Georgia Tech, College of Computin...
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2020年8月5日 · 陳尚澤 教授. Email: stchen@csie.ntu.edu.tw. 教授個人網頁: https://www.csie.ntu.edu.tw/~stchen/ 訪談者：系學會. 研究主題 / 專題內容. 我們的實驗室主要在做 Machine Learning model 的不同面向，包含 model 安全性、隱私性、公平性這些傳統 Machine Learning 比較少碰到的問題。 由於現在在很多問題中 Machine Learning 已經可以達到很高的準確度，所以大家都想把 Machine Learning 用在各個不同的面向，其中也包括對安全性要求很高的領域，例如自駕車、醫療等等。
2021年5月4日 · 陳尚澤 教授. Email: stchen@csie.ntu.edu.tw. 教授個人網頁: https://www.csie.ntu.edu.tw/~stchen/ 訪談者：王苡涵. 訪談年份：2021. 小編有話說. 關鍵字檢索：AI 安全、AI 公平性、對抗性機器學習、惡意 ML 模型. 小編偷偷說：教授給予專題生高度的自由，希望大家可以在大學時，累積實驗室的經驗進而學習研究方法，並找到自己喜歡的領域。 教授也認為很多東西就算不知道、還未接觸過，也可以在研究的過程中做中學。 對機器學習的安全性、隱私性、公平性有興趣的話，不妨找教授聊聊喔！ 研究方向 / 專題內容. 實驗室方向： 主要探討機器學習的各面相，如安全性，隱私性，及公平性。
2023年12月28日 · 陳尚澤，出生於台灣省，中國台灣影視男演員，就讀於 台灣東吳大學 。. 2014年，出演個人首部電視劇《 一代新兵八極少年 》，從而正式進入演藝圈 [1] 。. 2015年，主演自閉症公益微電影《 在路上 》 [2] 。. 2016年，在校園青春喜劇電影《 極道校園 》中 ...
