Keyan Guo
I’m a 3rd-year Ph.D. candidate at University at Buffalo, SUNY. I’m interested in the study of large-scale generative AI, AI and security, generative AI for public good, online social network security and more relevant research topics. I’m honored to work under the guidance of Dr. Hongxin Hu, whose expertise and tutelage have been invaluable to my work.
I’m open and glad to collaborate. Please feel free to contact me via email, I would be more than happy to have a discussion and to learn from you.
I am currently seeking a Summer 2025 internship opportunity.
News
[Paper] 10/2024: Our recent study in detecting harmful memes has been accepted by NDSS Symposium 2025!
[Paper] 10/2024: Our recent work in AI-Cybersecurity education with cyberharassment detection labs has been accepted by 28th CISSE!
[Paper] 10/2024: Our recent work in designing learnign platform to enhance AI-centered Social Cybersecurity Education has been accepted by 28th CISSE!
[Paper] 10/2024: Our recent study in understanding cyberbullying images has been accepted by ICMLA 2024!
[Talk] 08/2024: I present our paper “Moderating Illicit Online Image Promotion for Unsafe User Generated Content Games Using Large Vision-Language Models” in the 33rd USENIX Security Sumposium!
[Award] 07/2024: I am very honored to be selected as a recipient of USENIX Conference Student Grant.
[Talk] 06/2024: I’m pleased to present our tutorials on: Machine Learning Based Online Abuse Defense: Platform, Research, and Hands-on Labs. in AAAI ICWSM 2024!
[Media] 05/2024: Our recent work about unsafe user-generated content has been selected as a poster presentation at the 45th IEEE Symposium on Security and Privacy!
[Paper] 04/2024: We have an accepted position statement at CHI 2024 Workshop!
[Media] 04/2024: Our ASONAM 2023 paper “Understanding and Analyzing COVID-19-related Online Hate Propagation Through Hateful Memes Shared on Twitter” was selected to appear in the ACM Showcase on Kudos!
[Paper] 03/2024: Our paper “Moderating Illicit Online Image Promotion for Unsafe User-Generated Content Games Using Large Vision-Language Models” has been accepted by USENIX Security 2024!
[Award] 12/2023: I am very honored to win the 2023 Annual CSE Poster Competition and be the recipient of the CSE Best AI Poster Award at Univerisity at Buffalo.
[Talk] 12/2023: I present our paper “An Investigation of Large Language Models for Real-World Hate Speech Detection” in International Conference on Machine Learning and Applications (ICMLA)!
[Paper] 10/2023: Our paper “Moderating New Waves of Online Hate with Chain-of-Thought Reasoning in Large Language Models” has been accepted by S&P(Oakland) 2024!
[Paper] 10/2023: Our paper “An Investigation of Large Language Models for Real-World Hate Speech Detection” has been accepted by ICMLA 2023!
[Talk] 09/2023: I present our paper “Understanding and Measuring Robustness of Vision and Language Multimodal Models” in International Conference on Secure Knowledge Management!
[Paper] 09/2023: Our paper “Understanding and Analyzing COVID-19-related Online Hate Propagation Through Hateful Memes Shared on Twitter” has been accepted by ASONAM 2023!
[Paper] 08/2023: Our paper “AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab” has been accepted by FIE 2023!
[Paper] 08/2023: Our paper “Understanding and Measuring Robustness of Vision and Language Multimodal Models” has been accepted by SKM 2023!
[Paper] 08/2023: Our paper “Exploring Vulnerabilities in Voice Command Skills for Connected Vehicles” has been accepted by EAI SmartSP 2023!
[Talk] 04/2023: I present our work “Mitigating Online Hate in the Evolving Cyber Environment: Rapid Adaptation and Moderation of Emerging Threats” in Great Lakes Security Day (GLSD) 2023!
[Paper] 11/2022: Our paper “Understanding the Generalizability of Hateful Memes Detection Models Against COVID-19-related Hateful Memes” has been accepted by ICMLA 2022!
[Award] 11/2022: I am very honored to be the recipient of the CSE Best Graduate Teaching Award at Univerisity at Buffalo.
[Talk] 11/2022: We present our demo paper “Understanding the Effects of Paint Colors on LiDAR Point Cloud Intensities” in workshop on AutoSec 2022!
Collaborators
Professors
Dr. Hongxin Hu, Dr. Ziming Zhao, Dr. Nishant Vishwamitra, Dr. Long Cheng, Dr. Guo Freeman, Dr. Qian Wang, Dr. Juan Wang Dr. Yongkai Wu, Dr. Xiaohong Yuan, Dr. Chunming Qiao, Dr. Feng Luo, Dr. Jeannette Wade
Ph.D. Students
Ebuka Okpala, Feng Wei, Foad Hajiaghajani, Gaoxiang Liu, Isabelle Ondracek, Song Liao, Md. Armanuzzaman Tomal, Mohammed Aldeen, Qiqing Huang, Rupam Patir, Wenbo Ding, Xi Tan, Yong Zhuang, Zheyuan Ma
*Sorted alphabetically by first name
(Under-)Graduate Students
Amardhruva Narasimha Prabhu, Ayush Utkarsh, Pal Dave, Shaik Sabiha
*Sorted alphabetically by first name
High School Students
Alexander Hu (Now at University of California, Los Angeles), David Cong, Helen Qin, Ishan Ajay, Jaden Mu, Johnson Chen, Wentai Zhao (Now at University of Michigan)
*Sorted alphabetically by first name