Faculty

Institution

Unit

Venue

Marianne S Winslett

Professor Emerita

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Marianne S Winslett is currently serving as a Siebel School Of Computing And Data Science Professor Emerita at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Marianne S Winslett

University of Illinois Urbana-Champaign

Professor Emerita

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computer science data science data management information security data security computer security data privacy databases distributed systems scalability parallel computing parallel programming computer engineering communication cluster computing trust high performance computer architecture communication security trust negotiation trust management architecture data-intensive computing formal methods formal verification automated reasoning logic in computer science scientific data trust management trusted system privacy protection computational trust parallel performance evaluation differential privacy massively-parallel computing system software parallel storage approximate reasoning access control authentication authorization semantic web private information retrieval database theory database systems data integrity scientific computing world wide web secure computing trustworthy computing database technology trust privacy data stream management authentication access control query optimization provenance analysis data provenance provenance management automated trust negotiation database security logical access control array computing secure provenance high-performance data analytics parallel file systems database construction access control policies active buffering parallel i/o illinoisview profile logical databases keyword queries database research provenance tracking functional mechanism data provenance tracking data cubes provenance information firefox extensions data access responsible data management information management research data management scientific data management

Notable Scholarly Works

Notable Federal Grants

Collaborators

Detecting Cyber Attacks in Smart Grids With Massive Unlabeled Sensing Data. (2022)

Hanyu ZengZhen Wei NgPengfei ZhouXin LouDavid K.Y. YauMarianne Winslett

computer securitythreat detectionmachine learning researchdata securitydata miningcyber-physical systemsintelligent computingnatural language processingcomputer sciencesmart grid securitymachine learningintelligent systemsdata sciencesmart gridcyber attacksknowledge discoverysmart gridspower system

Intelligent Automated Workload Analysis for Database Replatforming. Proceedings of the 2022 International Conference on Management of Data (2022)

Amirhossein AleyasenMark MorcosLyublena AntovaMarc SugiyamaDmitri KorablevJozsef PatvarczkiRima MutrejaMichael DullerFlorian M. WaasMarianne Winslett

data integrationscientific dataworkload characterizationdetailed workload analysissystems engineeringdatabasesdatabase replatformingcomputer sciencedatabase processingdata warehousesdata scienceanalyticsdata engineeringscalabilitylarge companydata managementdata warehousing

Yolo-Ret: Towards High Accuracy Real-Time Object Detection on Edge Gpus. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022)

Prakhar GaneshYao ChenYin YangDeming ChenMarianne Winslett

deep learningmachine learning researchfeature learninghigh performance computer architectureobject detection modelscomputer scienceobject recognitionmachine learningedge gpusdata scienceedge computingconvolutional neural networksdeep neural networkmachine visionimage analysisobject detectioncomputer visionneural network (machine learning)

A Stealthier False Data Injection Attack Against the Power Grid. (2021)

Weili YanXin LouDavid K.Y. YauYing YangMuhammad Ramadan SaifuddinJiyan WuMarianne Winslett

automatic generation controlcomputer securitypower gridsystems engineeringelectrical gridsdata securitycyber-physical systemssmart grid securitycontrol system securitysmart gridcomputer engineeringscada securitystreaming sensor datainformation securitysystem safety

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. ACM Transactions on Intelligent Systems and Technology (2021)

Zijian LiRuichu CaiHong Wei NgMarianne WinslettTom Z. J. FuBoyan XuXiaoyan YangZhenjie Zhang

bayesian analysisdata-driven modelscomputer scienceknowledge discoverydomain adaptationtransfer learninginferencedata modelingsystems modelingdata sciencemechanical systemssystems engineeringcomputational statisticscausal inferencecausal modelstime seriescomputational intelligencemachine learning researchcausal mechanismmachine learningdata-driven prediction

Compressing Large-Scale Transformer-Based Models: A Case Study on Bert. Transactions of the Association for Computational Linguistics (2021)

Prakhar GaneshYao ChenXin LouMohammad Ali KhanYin YangHassan SajjadPreslav NakovDeming ChenMarianne Winslett

large language modelsnatural language generationlinguisticsmachine learning researchnatural language processingcomputer sciencemachine translationmachine learningpopular bert modelgeneric nlp modelsmodel compressiondeep learninglanguage models

Learning-Based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems. IEEE Transactions on Smart Grid (2021)

Prakhar GaneshXin LouYao ChenRui TanDavid K. Y. YauDeming ChenMarianne Winslett

time delay attackcomputer securitysystems engineeringcyber monitoringcyber-physical systemsembedded systemscomputer sciencemachine learningscada securitycyber conflictcontrol system securitydeep learning-based methodsystem safetydeep learningreal-time adaptive securitycps security

Drs+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing. (2020)

Kailin TangZhifeng HaoRuichu CaiTom Z. J. FuYin YangLi WangMarianne WinslettZhenjie Zhang

cluster computingstream processingdistributed systemsstreaming datacomputer scienceapache stormdistributed stream processingresponse timeparallel computingscalabilitydata stream managementdata managementdata streaming architecture

HAOCL: Harnessing Large-Scale Heterogeneous Processors Made Easy. (2020)

Yao ChenXin LongJiong HeYuhang ChenHongshi TanZhenxiang ZhangMarianne WinslettDeming Chen

cluster computingdistributed systemsfield programmable gate arrayhardware accelerationheterogeneity-aware opencl-likehigh performance computer architectureheterogeneous computingcomputer architecturedistributed environmentcomputer sciencecomputer engineeringparallel computingparallel programmingscalabilitygpu computinggpu clusterdeep learning

Identifying Failing Point Machines From Sensor-Free Train System Logs. 2021 IEEE International Conference on Big Data (Big Data) (2020)

Ying YangXin LouBinbin ChenMarianne WinslettZbigniew Kalbarczyk

event logssystems engineeringmachine learning researchfault forecastingdata mininglog datacomputer sciencemachine learningdata sciencereliability engineeringfailure predictionpoint machinesknowledge discoverysystem safety

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Marianne S Winslett

Professor Emerita

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

Marianne S Winslett is currently serving as a Siebel School Of Computing And Data Science Professor Emerita at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Marianne S Winslett

University of Illinois Urbana-Champaign

Professor Emerita

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Detecting Cyber Attacks in Smart Grids With Massive Unlabeled Sensing Data. (2022)

Hanyu ZengZhen Wei NgPengfei ZhouXin LouDavid K.Y. YauMarianne Winslett

Intelligent Automated Workload Analysis for Database Replatforming. Proceedings of the 2022 International Conference on Management of Data (2022)

Amirhossein AleyasenMark MorcosLyublena AntovaMarc SugiyamaDmitri KorablevJozsef PatvarczkiRima MutrejaMichael DullerFlorian M. WaasMarianne Winslett

Yolo-Ret: Towards High Accuracy Real-Time Object Detection on Edge Gpus. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022)

Prakhar GaneshYao ChenYin YangDeming ChenMarianne Winslett

A Stealthier False Data Injection Attack Against the Power Grid. (2021)

Weili YanXin LouDavid K.Y. YauYing YangMuhammad Ramadan SaifuddinJiyan WuMarianne Winslett

Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. ACM Transactions on Intelligent Systems and Technology (2021)

Zijian LiRuichu CaiHong Wei NgMarianne WinslettTom Z. J. FuBoyan XuXiaoyan YangZhenjie Zhang

Compressing Large-Scale Transformer-Based Models: A Case Study on Bert. Transactions of the Association for Computational Linguistics (2021)

Prakhar GaneshYao ChenXin LouMohammad Ali KhanYin YangHassan SajjadPreslav NakovDeming ChenMarianne Winslett

Learning-Based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems. IEEE Transactions on Smart Grid (2021)

Prakhar GaneshXin LouYao ChenRui TanDavid K. Y. YauDeming ChenMarianne Winslett

Drs+: Load Shedding Meets Resource Auto-Scaling in Distributed Stream Processing. (2020)

Kailin TangZhifeng HaoRuichu CaiTom Z. J. FuYin YangLi WangMarianne WinslettZhenjie Zhang

HAOCL: Harnessing Large-Scale Heterogeneous Processors Made Easy. (2020)

Yao ChenXin LongJiong HeYuhang ChenHongshi TanZhenxiang ZhangMarianne WinslettDeming Chen

Identifying Failing Point Machines From Sensor-Free Train System Logs. 2021 IEEE International Conference on Big Data (Big Data) (2020)

Ying YangXin LouBinbin ChenMarianne WinslettZbigniew Kalbarczyk

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