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Yuguang Yao
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2020 – today
- 2024
- [j2]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): 53-152 (2024) - [j1]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): 38-59 (2024) - [c20]Brian Zhang, Yuguang Yao, Sijia Liu:
Elevating Visual Prompting in Transfer Learning Via Pruned Model Ensembles: No Retrain, No Pain. ICASSP 2024: 6000-6004 - [c19]Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu:
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. ICLR 2024 - [c18]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: 7877-7887 - [i16]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 abs/2402.08787 (2024) - [i15]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 abs/2402.11846 (2024) - [i14]Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu:
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. CoRR abs/2403.10717 (2024) - [i13]Yuguang Yao, Steven A. Grosz, Sijia Liu, Anil K. Jain:
Hide and Seek: How Does Watermarking Impact Face Recognition? CoRR abs/2404.18890 (2024) - 2023
- [c17]Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu:
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. SafeAI@AAAI 2023 - [c16]Gaowen Liu, Yuzhang Shang, Yuguang Yao, Ramana Kompella:
Network Specialization via Feature-level Knowledge Distillation. CVPR Workshops 2023: 3368-3375 - [c15]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CVPR 2023: 19133-19143 - [c14]Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu:
Visual Prompting for Adversarial Robustness. ICASSP 2023: 1-5 - [c13]Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu:
SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling. ICASSP 2023: 1-5 - [c12]Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu:
Model Sparsity Can Simplify Machine Unlearning. NeurIPS 2023 - [i12]Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu:
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. CoRR abs/2301.08751 (2023) - [i11]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 abs/2303.07474 (2023) - [i10]Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu:
SMUG: Towards robust MRI reconstruction by smoothed unrolling. CoRR abs/2303.12735 (2023) - [i9]Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu:
Model Sparsification Can Simplify Machine Unlearning. CoRR abs/2304.04934 (2023) - [i8]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 abs/2308.00788 (2023) - [i7]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 abs/2311.02373 (2023) - 2022
- [c11]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: 4398-4402 - [c10]Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu:
Reverse Engineering of Imperceptible Adversarial Image Perturbations. ICLR 2022 - [c9]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 - [c8]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: 1714-1720 - [c7]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 - [i6]Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu:
Reverse Engineering of Imperceptible Adversarial Image Perturbations. CoRR abs/2203.14145 (2022) - [i5]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 abs/2203.14195 (2022) - [i4]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 abs/2204.07543 (2022) - [i3]Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao
, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu:
Advancing Model Pruning via Bi-level Optimization. CoRR abs/2210.04092 (2022) - [i2]Aochuan Chen, Peter Lorenz, Yuguang Yao, Pin-Yu Chen, Sijia Liu:
Visual Prompting for Adversarial Robustness. CoRR abs/2210.06284 (2022) - [i1]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CoRR abs/2211.11635 (2022) - 2021
- [c6]Li Liu, Yuguang Yao, Zhichao Cao
, Mi Zhang:
DeepLoRa: Learning Accurate Path Loss Model for Long Distance Links in LPWAN. INFOCOM 2021: 1-10 - 2020
- [c5]Lingkun Li, Manni Liu, Yuguang Yao, Fan Dang
, Zhichao Cao, Yunhao Liu:
Patronus: preventing unauthorized speech recordings with support for selective unscrambling. SenSys 2020: 245-257 - [c4]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: 436-448
2010 – 2019
- 2019
- [c3]Yuguang Yao, Zijun Ma, Yifan Xu:
Poster: LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol. EWSN 2019: 240-241 - [c2]Yuguang Yao, Zijun Ma, Yifan Xu:
Poster: Proactive ZigBee: A Novel MAC Mechanism Enabling Coordination between Wifi and ZigBee. EWSN 2019: 242-243 - [c1]Yuguang Yao, Zijun Ma, Zhichao Cao:
LoSee: Long-Range Shared Bike Communication System Based on LoRaWAN Protocol. EWSN 2019: 407-412
Coauthor Index
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last updated on 2024-08-10 00:29 CEST by the dblp team
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