Yuguang Yao
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About Me
Currently on the Job Market.
PhD student advised by Prof. Sijia Liu in Computer Science and Engineering, Michigan State University.
Work Experience
Research Intern, Cisco Research, San Jose, Feb 2023 - Jun 2024
Research Intern, IBM Research, Boston, May 2022 - Aug 2022
Research Intern, DiDi AI Labs, Beijing, Dec 2017 - Feb 2018
Selected Publications
Yuguang Yao*, Zhuoshi Pan*, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Rao Kompella, Sijia Liu, “From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models”, NeurIPS 2024. [link]
Yuguang Yao*, Jiancheng Liu*, Yifan Gong*, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu, “Can Adversarial Examples Be Parsed to Reveal Victim Model Information?”, submitted to WACV 2025. [link]
Yuguang Yao, Xiao Guo, Vishal Asnani, Yifan Gong, Jiancheng Liu, Xue Lin, Xiaoming Liu, Sijia Liu, "Reverse Engineering of Deceptions on Machine-and Human-Centric Attacks", Foundations and Trends in Privacy and Security 2024. [link]
Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu, “Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency”, ICLR 2024. [link]
Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu, "Model sparsity can simplify machine unlearning", NeurIPS 2023 (Spotlight). [link]
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu, “Understanding and Improving Visual Prompting: A Label-Mapping Perspective”, CVPR 2023. [link]
Yuguang Yao*, Yihua Zhang*, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu, "Advancing Model Pruning via Bi-level Optimization", NeurIPS 2022. [link]
Yuguang Yao*, Yifan Gong*, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu, "Reverse Engineering of Imperceptible Adversarial Image Perturbations", ICLR 2022. [link]
Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu, “How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective”, ICLR 2022 (Spotlight). [link]
Research
Adversarial Machine Learning
Neural Network Pruning
Parameter Efficient Fine Tuning
Diffusion Models
Teaching
CSE 477 Web Application Development @ Spring 2021
CSE 480 Database Systems @ Fall 2020, Fall 2023, Spring 2024, Fall 2024
CSE 801 Big Data Analysis @ Spring 2023
Service
ICML’22, ICML’23, NeurIPS’24 AdvML Frontiers Chair
NeurIPS, CVPR, ICML, TPAMI Reviewer