Yihua Zhang

108 papers A* 25A 2C 5Misc 3Journal 59Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization.
CoRR
Yicheng Lang, Changsheng Wang, Yihua Zhang, Mingyi Hong, Zheng Zhang, Wotao Yin, Sijia Liu
2026 J jnl
RT2I-Bench: Evaluating Robustness of Text-to-Image Systems Against Adversarial Attacks.
Trans. Mach. Learn. Res.
Athanasios Glentis, Ioannis C. Tsaknakis, Jiangweizhi Peng, Xun Xian, Yihua Zhang, Gaowen Liu, Charles Fleming, Mingyi Hong
2025 J jnl
CyclicReflex: Improving Large Reasoning Models via Cyclical Reflection Token Scheduling.
CoRR
Chongyu Fan, Yihua Zhang, Jinghan Jia, Alfred Olivier Hero, Sijia Liu
2025 J jnl
Downgrade to Upgrade: Optimizer Simplification Enhances Robustness in LLM Unlearning.
CoRR
Yicheng Lang, Yihua Zhang, Chongyu Fan, Changsheng Wang, Jinghan Jia, Sijia Liu
2025 A* conf
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing.
CVPR
Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu
2025 J jnl
Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning.
CoRR
Bingqi Shang, Yiwei Chen, Yihua Zhang, Bingquan Shen, Sijia Liu
2025 — conf
Gramian Angular Field-Based Power Line Communication Sensing for Railway Cable Aging Detection.
VTC2025-Fall
Dong Liang, Yihua Zhang, TengZhuo Zhao, Yuyang He, Andrea M. Tonello
2025 A* conf
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning.
ICML
Changsheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram, Dennis Wei, Yuguang Yao, Soumyadeep Pal, Nathalie Baracaldo, Sijia Liu
2025 J jnl
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning.
CoRR
Changsheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram, Dennis Wei, Yuguang Yao, Soumyadeep Pal, Nathalie Baracaldo, Sijia Liu
2025 J jnl
Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design.
CoRR
Yuhao Sun, Yihua Zhang, Gaowen Liu, Hongtao Xie, Sijia Liu
2025 — conf
LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data.
AISec@CCS
Changsheng Wang, Yihua Zhang, Dennis Wei, Jinghan Jia, Pin-Yu Chen, Sijia Liu
2025 J jnl
LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data.
CoRR
Changsheng Wang, Yihua Zhang, Dennis Wei, Jinghan Jia, Pin-Yu Chen, Sijia Liu
2025 J jnl
Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering.
Syst.
Wei Zhang, Zhixiang Dai, Taiwu Xia, Gangping Chen, Yihua Zhang, Jun Zhou, Cui Liu
2025 J jnl
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model.
CoRR
Mohan Zhang, Yihua Zhang, Jinghan Jia, Zhangyang Wang, Sijia Liu, Tianlong Chen
2025 Misc conf
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models.
ICASSP
Yize Li, Yihua Zhang, Sijia Liu, Xue Lin
2025 A* conf
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills.
EMNLP
Changsheng Wang, Chongyu Fan, Yihua Zhang, Jinghan Jia, Dennis Wei, Parikshit Ram, Nathalie Baracaldo, Sijia Liu
2025 J jnl
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills.
CoRR
Changsheng Wang, Chongyu Fan, Yihua Zhang, Jinghan Jia, Dennis Wei, Parikshit Ram, Nathalie Baracaldo, Sijia Liu
2025 — conf
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
ACL (1)
Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang
2025 J jnl
Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-tuning.
CoRR
Yiwei Chen, Yuguang Yao, Yihua Zhang, Bingquan Shen, Gaowen Liu, Sijia Liu
2025 J jnl
Student Experiences of Hybrid and Online Engineering Labs in a Logic Control Course.
Comput. Appl. Eng. Educ.
Yihua Zhang, Christian Stöhr, Susanne Strömberg Jämsvi, Jens Kabo, Johan Malmqvist
2025 A* conf
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.
ICML
Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu
2025 J jnl
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.
CoRR
Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu
2025 A* conf
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective.
AAAI
Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
2025 A* conf
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers.
ICLR
Hongkang Li, Yihua Zhang, Shuai Zhang, Pin-Yu Chen, Sijia Liu, Meng Wang
2025 J jnl
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers.
CoRR
Hongkang Li, Yihua Zhang, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2024 J jnl
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning.
IEEE Signal Process. Mag.
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
2024 A* conf
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training.
ICLR
Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
2024 A* conf
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.
NeurIPS
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
2024 J jnl
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.
CoRR
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
2024 J jnl
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing.
CoRR
Hanhui Wang, Yihua Zhang, Ruizheng Bai, Yue Zhao, Sijia Liu, Zhengzhong Tu
2024 J jnl
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification.
CoRR
Changchang Sun, Ren Wang, Yihua Zhang, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Sijia Liu, Yan Yan
2024 J jnl
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance.
CoRR
Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
2024 J jnl
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models.
CoRR
Yize Li, Yihua Zhang, Sijia Liu, Xue Lin
2024 A* conf
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
ICML
Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024 J jnl
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
CoRR
Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
2024 A* conf
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning.
EMNLP
Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu
2024 J jnl
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning.
CoRR
Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu
2024 A* conf
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.
ICLR
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
2024 J jnl
Slope Surface Deformation Monitoring Based on Close-Range Photogrammetry: Laboratory Insights and Field Applications.
Remote. Sens.
Tianxin Lu, Peng Han, Wei Gong, Shuangshuang Li, Shuangling Mo, Kaiyan Hu, Yihua Zhang, Chunyu Mo, Yuyan Li, Ning An, Fangjun Li, Bingbing Han, Baofeng Wan, Ruidong Li
2024 Misc conf
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection.
ICASSP
Mohammad Jafari, Yimeng Zhang, Yihua Zhang, Sijia Liu
2024 J jnl
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection.
CoRR
Mohammad Jafari, Yimeng Zhang, Yihua Zhang, Sijia Liu
2024 — conf
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... For Now.
ECCV (57)
Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu
2024 J jnl
UOE: Unlearning One Expert Is Enough For Mixture-of-experts LLMS.
CoRR
Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang
2024 J jnl
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models.
CoRR
Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu
2024 A* conf
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models.
NeurIPS
Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Kompella, Xiaoming Liu, Sijia Liu
2024 A* conf
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models.
NeurIPS
Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram, Nathalie Baracaldo, Sijia Liu
2024 J jnl
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models.
CoRR
Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram, Nathalie Baracaldo, Sijia Liu
2023 — conf
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion.
CVPR Workshops
Haomin Zhuang, Yihua Zhang, Sijia Liu
2023 J jnl
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion.
CoRR
Haomin Zhuang, Yihua Zhang, Sijia Liu
2023 J jnl
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning.
CoRR
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
2023 J jnl
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training.
CoRR
Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
2023 A* conf
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach.
ICML
Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong
2023 A* conf
Robust Mixture-of-Expert Training for Convolutional Neural Networks.
ICCV
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023 J jnl
Robust Mixture-of-Expert Training for Convolutional Neural Networks.
CoRR
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
2023 Misc conf
Robustness-Preserving Lifelong Learning Via Dataset Condensation.
ICASSP
Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, Alfred O. Hero III
2023 J jnl
Robustness-preserving Lifelong Learning via Dataset Condensation.
CoRR
Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, Alfred O. Hero III
2023 J jnl
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.
CoRR
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu
2023 A* conf
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.
NeurIPS
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
2023 J jnl
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning.
CoRR
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
2023 A* conf
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization.
ICLR
Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang
2023 J jnl
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now.
CoRR
Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu
2023 A* conf
Understanding and Improving Visual Prompting: A Label-Mapping Perspective.
CVPR
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
2023 J jnl
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective.
CoRR
Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
2023 A* conf
What Is Missing in IRM Training and Evaluation? Challenges and Solutions.
ICLR
Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu
2023 J jnl
What Is Missing in IRM Training and Evaluation? Challenges and Solutions.
CoRR
Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu
2022 A* conf
Advancing Model Pruning via Bi-level Optimization.
NeurIPS
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
2022 J jnl
Advancing Model Pruning via Bi-level Optimization.
CoRR
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
2022 C conf
Considering the Community of Inquiry Framework in Online Engineering Education.
FIE
Yihua Zhang, Christian Stöhr, Susanne Strömberg Jämsvi, Jens Kabo
2022 J jnl
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale.
CoRR
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022 A conf
Distributed adversarial training to robustify deep neural networks at scale.
UAI
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022 A* conf
Fairness Reprogramming.
NeurIPS
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
2022 J jnl
Fairness Reprogramming.
CoRR
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
2022 A* conf
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free.
CVPR
Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang
2022 J jnl
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free.
CoRR
Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang
2022 A* conf
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
ICML
Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
2022 J jnl
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization.
CoRR
Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang
2022 J jnl
Understanding and Improving Visual Prompting: A Label-Mapping Perspective.
CoRR
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
2021 J jnl
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization.
CoRR
Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
2020 — conf
A 16Gb/s Triple-Mode Driver in 0.18μm CMOS Technology.
ICTA
Xiangwen Liu, Yihua Zhang, Chuangji Zhou, Dan Li, Xiaoyan Gui, Li Geng
2019 C conf
A Stacked 4×25 Gb/s Optical Receiver in 28 nm CMOS with 0.154 mW/Gb/s Power Efficiency.
ISCAS
Yihua Zhang, Zhuoqi Guo, Yang Xie, Dan Li, Shiquan Fan, Xiaoyan Gui, Li Geng
2019 J jnl
Bead Strand Model: a high-efficiency storage structure for self-destructing data in cloud environment.
Serv. Oriented Comput. Appl.
Xiao Fu, Zhijian Wang, Yunfeng Chen, Yihua Zhang, Hao Wu
2019 J jnl
Candidate gene prioritization for non-communicable diseases based on functional information: Case studies.
J. Biomed. Informatics
Wan Li, Yihua Zhang, Yuehan He, Yahui Wang, Shanshan Guo, Xilei Zhao, Yuyan Feng, Zhaona Song, Yuqing Zou, Weiming He, Lina Chen
2019 J jnl
Low-Noise Broadband CMOS TIA Based on Multi-Stage Stagger-Tuned Amplifier for High-Speed High-Sensitivity Optical Communication.
IEEE Trans. Circuits Syst. I Regul. Pap.
Dan Li, Ming Liu, Shengwei Gao, Yongjun Shi, Yihua Zhang, Zhiyong Li, Patrick Yin Chiang, Franco Maloberti, Li Geng
2018 J jnl
Implementing Support for Pointers to Private Data in a General-Purpose Secure Multi-Party Compiler.
ACM Trans. Priv. Secur.
Yihua Zhang, Marina Blanton, Ghada Almashaqbeh
2018 C conf
Low-Noise High-Linearity 56Gb/s PAM-4 Optical Receiver in 45nm SOI CMOS.
ISCAS
Yang Xie, Dan Li, Yiqun Liu, Ming Liu, Yihua Zhang, Xiaoli Wang, Li Geng
2018 — conf
Research on Interaction Modeling of Cross-border E-commerce and Import and Export Trade.
ICSEB
Jun Chen, Yihua Zhang, Yuan Wang, Ruoli Ma
2017 — conf
Enforcing Input Correctness via Certification in Garbled Circuit Evaluation.
ESORICS (2)
Yihua Zhang, Marina Blanton, Fattaneh Bayatbabolghani
2017 J jnl
Enforcing Input Correctness via Certification in Garbled Circuit Evaluation.
IACR Cryptol. ePrint Arch.
Yihua Zhang, Marina Blanton, Fattaneh Bayatbabolghani
2016 — conf
A modeling method of customized brackets and individualized trays for orthodontic treatment.
CISP-BMEI
Rui Xing, Ning Dai, Yicheng Zhong, Yihua Zhang, Yi Liu
2016 J jnl
Efficient Dynamic Provable Possession of Remote Data via Update Trees.
ACM Trans. Storage
Yihua Zhang, Marina Blanton
2015 J jnl
Implementing Support for Pointers to Private Data in a General-Purpose Secure Multi-Party Compiler.
CoRR
Yihua Zhang, Marina Blanton, Ghada Almashaqbeh
2015 J jnl
Secure distributed genome analysis for GWAS and sequence comparison computation.
BMC Medical Informatics Decis. Mak.
Yihua Zhang, Marina Blanton, Ghada Almashaqbeh
2014 J jnl
Effective Virtual Screening Strategy toward Covalent Ligands: Identification of Novel NEDD8-Activating Enzyme Inhibitors.
J. Chem. Inf. Model.
Shengping Zhang, Jiani Tan, Zhonghui Lai, Ying Li, Junxia Pang, Jianhu Xiao, Zhangjian Huang, Yihua Zhang, Hui Ji, Yisheng Lai
2014 C conf
Efficient Secure and Verifiable Outsourcing of Matrix Multiplications.
ISC
Yihua Zhang, Marina Blanton
2014 J jnl
Efficient Secure and Verifiable Outsourcing of Matrix Multiplications.
IACR Cryptol. ePrint Arch.
Yihua Zhang, Marina Blanton
2013 A conf
Efficient dynamic provable possession of remote data via balanced update trees.
AsiaCCS
Yihua Zhang, Marina Blanton
2013 A* conf
PICCO: a general-purpose compiler for private distributed computation.
CCS
Yihua Zhang, Aaron Steele, Marina Blanton
2013 J jnl
Research of Weeds Classification System Based on Shape Feature.
J. Softw.
Liang Gao, Dongming Li, Yihua Zhang
2013 A* conf
Secure Computation on Floating Point Numbers.
NDSS
Mehrdad Aliasgari, Marina Blanton, Yihua Zhang, Aaron Steele
2013 J jnl
Secure and verifiable outsourcing of large-scale biometric computations.
ACM Trans. Inf. Syst. Secur.
Marina Blanton, Yihua Zhang, Keith B. Frikken
2012 J jnl
Efficient Dynamic Provable Possession of Remote Data via Update Trees.
IACR Cryptol. ePrint Arch.
Yihua Zhang, Marina Blanton
2012 J jnl
Secure Computation on Floating Point Numbers.
IACR Cryptol. ePrint Arch.
Mehrdad Aliasgari, Marina Blanton, Yihua Zhang, Aaron Steele
2011 — conf
Design of Automatic Mapping System between DDC and CLC.
ICADL
Yihua Zhang, Jia Peng, Di Huang, Fang Li
2011 — conf
Secure and Verifiable Outsourcing of Large-Scale Biometric Computations.
SocialCom/PASSAT
Marina Blanton, Yihua Zhang, Keith B. Frikken
2010 C conf
Confidentiality and Integrity for SUM Aggregation in Sensor Networks.
SECRYPT
Keith B. Frikken, Yihua Zhang
2010 — conf
Sum Aggregation in Sensor Networks While Preserving Confidentiality and Integrity.
ICETE (Selected Papers)
Keith B. Frikken, Yihua Zhang
2008 — conf
Yet another privacy metric for publishing micro-data.
WPES
Keith B. Frikken, Yihua Zhang
2000 — conf
An algorithm for VLSI implementation of highly efficient cubic-polynomial evaluation.
ASP-DAC
Fan Mo, Yihua Zhang, Jun Yu, Qianling Zhang