Faculty

Institution

Unit

Venue

Yuan Hong

Associate Professor

University of Connecticut

Affiliations

College of Engineering

School of Computing

Yuan Hong is currently serving as a College Of Engineering Associate Professor at University of Connecticut.

Honors

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Experiences

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Education

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Yuan Hong

University of Connecticut

Associate Professor

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computer science machine learning computer security information security systems engineering data science data privacy electrical engineering data security differential privacy deep learning secure computing ubiquitous computing information technology privacy-preserving communication data mining trustworthy computing energy management information retrieval knowledge discovery information forensics communication security distributed computing adversarial machine learning confidential computing linear programming mathematical optimization vehicular technology web intelligence data anonymization decentralized privacy program optimization cloud computing security privacy engineering multimedia security network trace anonymization power grid limited disclosure energy research logistics management disaster medicine humanitarian logistics crisis management mathematical programming human-computer interaction cluster computing classification method robust control scheduling (computing) scheduling problems robust optimization maintenance scheduling dynamic pricing transaction processing information leakage energy exchange application analysis emergency management disaster management emergency logistics delivery systems smart grid security privacy enhancing technologies dynamic disruptions correlated trajectories optimal differential privacy constraint-aware role mining appliance status security challenges smart grid implementation effective anonymization query logs smart microgrids privacy-preserving scheme relief supply distribution optimal output utility cyber-physical systems privacy protection trustworthy ai

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Learning-Based Attack Framework to Break Sota Poisoning Defenses in Federated Learning. arXiv (Cornell University) (2024)

Yang, YuxinLi, QiangNie, ChenfeiHong, YuanPang, MengWang, Binghui

computer sciencedata securitymachine learningfederated learningcomputer securitydata scienceadversarial machine learningreinforcement learninglearning-based attack frameworkattack model

Breaking State-Of-The-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. (2024)

Yuxin YangQiang LiChenfei NieYuan HongBinghui Wang

computer scienceinformation securitydata securitymachine learningfederated learningcomputer securitydata scienceadversarial machine learningddos detectionthreat detectionoptimization-based attack frameworknetwork security

Certifiable Black-Box Attacks With Randomized Adversarial Examples: Breaking Defenses With Provable Confidence. (2024)

Hanbin HongXinyu ZhangBinghui WangZhongjie BaYuan Hong

information securitycomputer sciencecertifiable black-box attacksbreaking defensesrandomized adversarial examplescomputer securityprovable confidence

Data Poisoning Attacks on Traffic State Estimation and Prediction. Transportation Research Part C Emerging Technologies (2024)

Feilong WangXin WangYuan HongR. Tyrrell RockafellarXuegang (Jeff) Ban

traffic state estimationtransportation researchinformation securitydata securitycomputer securitydata science

Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. arXiv (Cornell University) (2024)

Yang, YuxinLi, QiangJia, JinyuanHong, YuanWang, Binghui

information securitycomputer sciencefederated graph learningmachine learningcertified defensescomputer securitycryptographynetwork security

DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. 2022 IEEE Symposium on Security and Privacy (SP) (2024)

Shuya FengMeisam MohammadyHan WangXiaochen LiZhan QinYuan Hong

computer sciencedata privacymachine learningdata streamsstrict differential privacydifferential privacy

FLTRACER: Accurate Poisoning Attack Provenance in Federated Learning. IEEE Transactions on Information Forensics and Security (2024)

Xinyu ZhangQingyu LiuZhongjie BaYuan HongTianhang ZhengFeng LinLi LuKui Ren

information securitycomputer scienceattack provenancedata securitymachine learningfederated learninginformation technologycomputer securitysecurity analysisinformation forensicsdata provenanceprovenance analysis

Lipschitz Continuity and Data Poisoning Attacks — Applications in Intelligent Transportation Systems. SSRN Electronic Journal (2024)

Wang, XinWang, FeilongHong, YuanBan, Xuegang

deep learninginformation securitymachine learningcomputer securitylipschitz continuitysocial science researchsocial sciences

Local Differentially Private Heavy Hitter Detection in Data Streams With Bounded Memory. Proceedings of the ACM on Management of Data (2024)

Xiaochen LiWeiran LiuJian LouYuan HongLei ZhangZhan QinKui Ren

computer scienceresearch data managementmachine learningdata sciencebounded memorydata stream managementdata stream mininganalyticsdata management

On the Faithfulness of Vision Transformer Explanations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Junyi WuWeitai KangHao TangYuan HongYan Yan

computer sciencepattern recognitioncomputer visionvision recognitionvision transformer explanations

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Yuan Hong

Associate Professor

University of Connecticut

Affiliations

College of Engineering

School of Computing

Yuan Hong is currently serving as a College Of Engineering Associate Professor at University of Connecticut.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yuan Hong

University of Connecticut

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Learning-Based Attack Framework to Break Sota Poisoning Defenses in Federated Learning. arXiv (Cornell University) (2024)

Yang, YuxinLi, QiangNie, ChenfeiHong, YuanPang, MengWang, Binghui

computer sciencedata securitymachine learningfederated learningcomputer securitydata scienceadversarial machine learningreinforcement learninglearning-based attack frameworkattack model

Breaking State-Of-The-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. (2024)

Yuxin YangQiang LiChenfei NieYuan HongBinghui Wang

Certifiable Black-Box Attacks With Randomized Adversarial Examples: Breaking Defenses With Provable Confidence. (2024)

Hanbin HongXinyu ZhangBinghui WangZhongjie BaYuan Hong

information securitycomputer sciencecertifiable black-box attacksbreaking defensesrandomized adversarial examplescomputer securityprovable confidence

Data Poisoning Attacks on Traffic State Estimation and Prediction. Transportation Research Part C Emerging Technologies (2024)

Feilong WangXin WangYuan HongR. Tyrrell RockafellarXuegang (Jeff) Ban

traffic state estimationtransportation researchinformation securitydata securitycomputer securitydata science

Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses. arXiv (Cornell University) (2024)

Yang, YuxinLi, QiangJia, JinyuanHong, YuanWang, Binghui

information securitycomputer sciencefederated graph learningmachine learningcertified defensescomputer securitycryptographynetwork security

DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. 2022 IEEE Symposium on Security and Privacy (SP) (2024)

Shuya FengMeisam MohammadyHan WangXiaochen LiZhan QinYuan Hong

computer sciencedata privacymachine learningdata streamsstrict differential privacydifferential privacy

FLTRACER: Accurate Poisoning Attack Provenance in Federated Learning. IEEE Transactions on Information Forensics and Security (2024)

Xinyu ZhangQingyu LiuZhongjie BaYuan HongTianhang ZhengFeng LinLi LuKui Ren

Lipschitz Continuity and Data Poisoning Attacks — Applications in Intelligent Transportation Systems. SSRN Electronic Journal (2024)

Wang, XinWang, FeilongHong, YuanBan, Xuegang

deep learninginformation securitymachine learningcomputer securitylipschitz continuitysocial science researchsocial sciences

Local Differentially Private Heavy Hitter Detection in Data Streams With Bounded Memory. Proceedings of the ACM on Management of Data (2024)

Xiaochen LiWeiran LiuJian LouYuan HongLei ZhangZhan QinKui Ren

computer scienceresearch data managementmachine learningdata sciencebounded memorydata stream managementdata stream mininganalyticsdata management

On the Faithfulness of Vision Transformer Explanations. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Junyi WuWeitai KangHao TangYuan HongYan Yan

computer sciencepattern recognitioncomputer visionvision recognitionvision transformer explanations

1
2
3
4
5
11
10 / page

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