Changhoon Kim
Postdoctoral Scientist at AWS Bedrock
Arlington, Virginia
Email: kch AT asu DOT edu
Bio
Changhoon Kim completed his Ph.D. in Computer Engineering at Arizona State University under the advisement of Professor Yezhou Yang. His primary research focuses on the creation of secure machine learning systems. He has dedicated his efforts to developing user-attribution methods for generative models, a critical area of research in the age of AI-generated hyper-realistic content for tracing malicious usage, and machine UNlearning for removing private or harmful content from AI models. Kim’s pioneering research has been recognized at prestigious conferences such as ICLR, ICML, ECCV, and CVPR. Additionally, he holds a U.S. patent for user-attribution in generative models. To further contribute to the community, he organizes tutorials and workshops at leading conferences to emphasize the importance of secure generative AI.
About Me
I have completed my Ph.D. in the School of Computing and Augmented Intelligence (SCAI), where I worked with Prof. Yezhou Yang.
Research Keywords
- Computer Vision
- Generative Models
- Attribution of Synthesized Data
- Robust and Reliability for Generative Models
News
Nov. 6, 2024 TripletCLIP is accepted at NeurIPS.
Aug. 12, 2024 R.A.C.E. received an ORAL presentation slot at ECCV.
Jul. 14, 2024 As an organizer, our NeurIPS Workshop on Responsibly Building the Next Generation of Multimodal Foundation Models has been accepted.
Jul. 1, 2024 R.A.C.E. is accepted at ECCV.
Jun. 24, 2024 I have successfully defended my thesis.
Publications & Patents
TripletCLIP : Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives
Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang
NeurIPS 2024
Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan Turaga
WACV 2025
Changhoon Kim*, Kyle Min*, Yezhou Yang
ECCV 2024 - Oral (Top 2.5%)
Maitreya Patel , Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang
CVPR 2024
Guangyu Nie*, Changhoon Kim*, Yezhou Yang, Yi Ren
International Conference on Machine Learning (ICML 2023)
Patent
Changhoon Kim, Yi Ren, Yezhou Yang
US Patent App. 17/544,201
Yongbaek Cho*, Changhoon Kim*, Yezhou Yang, Yi Ren
International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2022)
Changhoon Kim*, Yi Ren*, Yezhou Yang
International Conference on Learning Representations (ICLR 2021)
Changhoon Kim, Mengyuan Zhang, Chongjie Zhang, Xi Jessie Yang
Human Factors and Engineering Society (HFES 2018)
Invited Talks
ECCV Doctoral Consortium (Oct. 2024)
Topic: Robust Concept Erasure for T2I Models
ASU Frontiers of GenAI (Sep. 2024)
Topic: Strengthening Image Generative AI: Integrating Fingerprinting and Revision Methods for Enhanced Safety and Control
CVPR Doctoral Consortium (Jun. 2024)
Topic: Risk Management in Image Generative Models
Samsung AI Center - Toronto (Apr. 2024)
Topic: Strengthening Image Generative AI
AAAI Doctoral Consortium (Feb. 2024)
Topic: Risk Management in Image Generative Models through Model Fingerprinting
Topic: Enhancing the reliability of image generative AI
Mayo Clinic (July 2023)
Topic: Generative Model's Risk Management in Medical Domain
Intel Labs (June 2023)
Topic: Text-to-Image Generative Model's Risk Management with User Attribution
Korea University (July 2022)
Intelligent Architecture & Systems Research lab.
Topic: Decentralized Attribution of Generative Models
Honor
ECCV 2024 Doctoral Consortium
CVPR 2024 Doctoral Consortium
AAAI 2024 Doctoral Consortium
ASU Graduate College Completion Fellowship Spring'24
ASU GPA Group Travel Funding for NeurIPS 2023
ASU GPA Individual Travel Funding for ICML 2023
Service
Organizer
Workshop on Responsibly Building the Next Generation of Multimodal Foundation Models NeurIPS 2024 Workshop
Tutorial on Responsibly Building Generative Models ECCV 2024 Tutorial
Tutorial on Reliability of Generative Models in Vision WACV 2024 Tutorial
Reviewer
Various ML Conferences
Work Experience
Research Scientist (Summer Intern)
KRAFTON, South Korea, 2022 Summer
Computer Vision Engineer
GEOMania Co., South Korea, 2011-2014
Teaching Experience
Graduate Teaching Associate
CSE 110 - Principles of Programming (2018 Fall, 2019 Spring)
CSE 100 - Principles of Programming (2019 Spring)
Collaborators
I am fortunate to work with these great people: Kyle Min (Intel Labs.), Maitreya Patel (ASU), Sheng Cheng (ASU)