Yuguang Yao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

Top Topics

Reverse Engineer

Machine Learning

Diffusion Models

Top Venues

Publications

Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. CoRR (2024)
Yuguang Yao, Steven A. Grosz, Sijia Liu, Anil K. Jain
Hide and Seek: How Does Watermarking Impact Face Recognition? CoRR (2024)
Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models. CoRR (2024)
Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. ICLR (2024)
Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Ziping Xu, Seychelle M. Vos, Michael A. Cianfrocco
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection. WACV (2024)
Brian Zhang, Yuguang Yao, Sijia Liu
Elevating Visual Prompting in Transfer Learning Via Pruned Model Ensembles: No Retrain, No Pain. ICASSP (2024)
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning. IEEE Signal Process. Mag. 41 (1) (2024)
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. Found. Trends Priv. Secur. 6 (2) (2024)
Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu
Rethinking Machine Unlearning for Large Language Models. CoRR (2024)
Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella
Network Specialization via Feature-level Knowledge Distillation. CVPR Workshops (2023)
Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
Model Sparsification Can Simplify Machine Unlearning. CoRR (2023)
Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. SafeAI@AAAI (2023)
Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? CoRR (2023)
Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu
SMUG: Towards robust MRI reconstruction by smoothed unrolling. CoRR (2023)
Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. CoRR (2023)
Zhuoshi Pan, Yuguang Yao, 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. CoRR (2023)
Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
Model Sparsity Can Simplify Machine Unlearning. NeurIPS (2023)
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CVPR (2023)
Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu
Visual Prompting for Adversarial Robustness. ICASSP (2023)
Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu
SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling. ICASSP (2023)
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning. CoRR (2023)
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
Advancing Model Pruning via Bi-level Optimization. CoRR (2022)
Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu
Visual Prompting for Adversarial Robustness. CoRR (2022)
Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu
Reverse Engineering of Imperceptible Adversarial Image Perturbations. ICLR (2022)
Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu
Reverse Engineering of Imperceptible Adversarial Image Perturbations. CoRR (2022)
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CoRR (2022)
Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Seychelle M. Vos, Michael A. Cianfrocco
CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection. CoRR (2022)
Vardaan Taneja, Pin-Yu Chen, Yuguang Yao, Sijia Liu
When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution. ICASSP (2022)
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. CoRR (2022)
Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. IJCAI (2022)
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
Advancing Model Pruning via Bi-level Optimization. NeurIPS (2022)
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)
Li Liu, Yuguang Yao, Zhichao Cao, Mi Zhang
DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN. INFOCOM (2021)
Lingkun Li, Manni Liu, Yuguang Yao, Fan Dang, Zhichao Cao, Yunhao Liu
Patronus: preventing unauthorized speech recordings with support for selective unscrambling. SenSys (2020)
Chenning Li, Zheng Liu, Yuguang Yao, Zhichao Cao, Mi Zhang, Yunhao Liu
Wi-fi see it all: generative adversarial network-augmented versatile wi-fi imaging. SenSys (2020)
Yuguang Yao, Zijun Ma, Yifan Xu
Poster: LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol. EWSN (2019)
Yuguang Yao, Zijun Ma, Zhichao Cao
LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol. EWSN (2019)
Yuguang Yao, Zijun Ma, Yifan Xu
Poster: Proactive ZigBee: A Novel MAC Mechanism Enabling Coordination between Wifi and ZigBee. EWSN (2019)