Yuguang Yao

According to our database, Yuguang Yao authored at least 33 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning.

Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu

IEEE Signal Process. Mag., January, 2024

Reverse Engineering of Deceptions on Machine- and Human-Centric Attacks.

Yuguang Yao, Xiao Guo, Vishal Asnani, Yifan Gong, Jiancheng Liu, Xue Lin, Xiaoming Liu, Sijia Liu

Found. Trends Priv. Secur., 2024

FairSkin: Fair Diffusion for Skin Disease Image Generation.

Ruichen Zhang, Yuguang Yao, Zhen Tan, Zhiming Li, Pan Wang, Huan Liu, Jingtong Hu, Sijia Liu, Tianlong Chen

CoRR, 2024

Prompt Diffusion Robustifies Any-Modality Prompt Learning.

Yingjun Du, Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella, Cees G. M. Snoek

CoRR, 2024

Adversarial Watermarking for Face Recognition.

Yuguang Yao, Anil K. Jain, Sijia Liu

CoRR, 2024

Hide and Seek: How Does Watermarking Impact Face Recognition?

Yuguang Yao, Steven A. Grosz, Sijia Liu, Anil K. Jain

CoRR, 2024

UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models.

Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu

CoRR, 2024

Rethinking Machine Unlearning for Large Language Models.

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

CoRR, 2024

CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection.

Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Ziping Xu, Seychelle M. Vos, Michael A. Cianfrocco

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency.

Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Elevating Visual Prompting in Transfer Learning Via Pruned Model Ensembles: No Retrain, No Pain.

Brian Zhang, Yuguang Yao, Sijia Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

From Trojan Horses to Castle Walls: Unveiling Bilateral Backdoor Effects in Diffusion Models.

Zhuoshi Pan, Yuguang Yao, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Rao Kompella, Sijia Liu

CoRR, 2023

An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.

Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu

CoRR, 2023

Model Sparsification Can Simplify Machine Unlearning.

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

CoRR, 2023

Can Adversarial Examples Be Parsed to Reveal Victim Model Information?

Yuguang Yao, Jiancheng Liu, Yifan Gong, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu

CoRR, 2023

Model Sparsity Can Simplify Machine Unlearning.

Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling.

Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

Visual Prompting for Adversarial Robustness.

Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

Network Specialization via Feature-level Knowledge Distillation.

Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Understanding and Improving Visual Prompting: A Label-Mapping Perspective.

Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Understanding How Self-training Tolerates Data Backdoor Poisoning.

Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection.

Quanfu Fan, Yilai Li, Yuguang Yao, John Cohn, Sijia Liu, Seychelle M. Vos, Michael A. Cianfrocco

CoRR, 2022

Advancing Model Pruning via Bi-level Optimization.

Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations.

Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective.

Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jinfeng Yi, Mingyi Hong, Shiyu Chang, Sijia Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Reverse Engineering of Imperceptible Adversarial Image Perturbations.

Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution.

Vardaan Taneja, Pin-Yu Chen, Yuguang Yao, Sijia Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN.

Li Liu, Yuguang Yao, Zhichao Cao, Mi Zhang

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

Wi-fi see it all: generative adversarial network-augmented versatile wi-fi imaging.

Chenning Li, Zheng Liu, Yuguang Yao, Zhichao Cao, Mi Zhang, Yunhao Liu

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Patronus: preventing unauthorized speech recordings with support for selective unscrambling.

Lingkun Li, Manni Liu, Yuguang Yao, Fan Dang, Zhichao Cao, Yunhao Liu

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2019

Poster: Proactive ZigBee: A Novel MAC Mechanism Enabling Coordination between Wifi and ZigBee.

Yuguang Yao, Zijun Ma, Yifan Xu

Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

Poster: LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol.

Yuguang Yao, Zijun Ma, Yifan Xu

Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019

LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol.

Yuguang Yao, Zijun Ma, Zhichao Cao

Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, 2019