Faculty

Institution

Unit

Venue

Jayadev Acharya

Associate Professor

Cornell University

Affiliations

College of Engineering

School of Electrical and Computer Engineering

Jayadev Acharya is currently serving as a College Of Engineering Associate Professor at Cornell University.

Honors

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Experiences

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Education

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Jayadev Acharya

Cornell University

Associate Professor

You can click a keyword to filter the displayed items

computer science statistical inference statistics computational statistics applied mathematics data science discrete algorithms probability theory statistical methodology computational complexity applied probability data privacy machine learning lower bounds information theory machine learning research differential privacy mathematical optimization theoretical computer science information security high-dimensional statistics estimation theory privacy protection mathematical statistics entropy data security computational optimization property testing communication complexity density estimation privacy-preserving communication randomized algorithms data compression numerical algorithms communication security combinatorial theory private information retrieval pattern matching combinatorial pattern matching bayesian analysis adversarial machine learning statistical pattern recognition algorithmic information theory classification method support size universal compression usable privacy pattern discovery string processing string-searching algorithm information constraints pattern maximum likelihood shared randomness discrete distributions identity testing medical image computing machine vision image segmentation edge detection kolmogorov complexity data distribution gaussian analysis social distancing epidemiological dynamic epidemic intelligence covid-19 pandemic sparse representations hadamard response shannon entropy h independence testing sample complexity spherical gaussian mixtures near-optimal-sample estimators quantum entropy united states public randomness informatics computational science natural computing intelligent computing models of computation computational model theory information networks

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Initializing a Public Repository for Hosting Benchmark Datasets to Facilitate Machine Learning Model Development in Food Safety. Journal of Food Protection (2025)

Chenhao QianHuan YangJayadev AcharyaJingqiu LiaoRenata IvanekMartin Wiedmann

artificial intelligenceinfectious diseasesfood safety risk assessmentinfection controlfoodborne illnesspathogensmachine learning researchnew yorkdata sciencefood safetymachine learning

Pauli Measurements Are Not Optimal for Single-Copy Tomography. (2025)

Jayadev AcharyaAbhilash DharmavarapuYuhan LiuNengkun Yu

measurementmedical imagingcomputed tomographyradiologybiomedical imagingpauli measurements

Quantum State Testing With Restricted Measurements. arXiv (Cornell University) (2024)

Liu, YuhanAcharya, Jayadev

computer sciencequantum computingquantum statequantum information sciencerestricted measurementscomputational complexityquantum communicationsquantum sciencemeasurement problemsquantum measurementquantum state testingapplied mathematics

The Role of Shared Randomness in Quantum State Certification With Unentangled Measurements. arXiv (Cornell University) (2024)

Liu, YuhanAcharya, Jayadev

computer sciencequantum computinglower boundsquantum information sciencequantum state certificationunknown quantum statemathematicsquantum communicationsquantum sciencequantum measurement

Optimal Rates for Nonparametric Density Estimation Under Communication Constraints. IEEE Transactions on Information Theory (2023)

Jayadev AcharyaClément L. CanonneAditya Vikram SinghHimanshu Tyagi

waveletswavelet theorysignal processingoptimal ratesdensity estimationestimation theorynonparametric density estimationstatistical signal processingwireless personal communicationcomputational statisticscommunication constraintsinformation theorystatistical inferenceapproximation theoryapplied mathematicsstatistics

Unified Lower Bounds for Interactive High-Dimensional Estimation Under Information Constraints. arXiv (Cornell University) (2023)

Jayadev AcharyaClément L. CanonneZiteng SunHimanshu Tyagi

mathematical optimizationcomputer sciencelower boundssignal processingparameter estimationinformation constraintsestimation theoryuncertainty quantificationcomputational statisticsconvex analysisinformation theoryinteractive protocolsstatistical inferenceapproximation theoryapplied mathematicshigh-dimensional statistics

A Perspective on Data Sharing in Digital Food Safety Systems. Critical Reviews in Food Science and Nutrition (2022)

Chenhao QianYuhan LiuCecil Barnett-NeefsSudeep SalgiaOmer SerbetciAaron AdaljaJayadev AcharyaQing ZhaoRenata IvanekMartin Wiedmann

computer sciencebig datahealth informaticsdata utilityprivacy protectiondata privacyprivacy systeminformation securitydata securityusable privacyhealth information sciencedata sciencedata managementdata protectionfood safety

Discrete Distribution Estimation Under User-Level Local Differential Privacy. arXiv (Cornell University) (2022)

Acharya, JayadevLiu, YuhanSun, Ziteng

discrete distribution estimationcomputer scienceapplied probabilityrandom shufflingasymptotic analysisparameter regimesprivacy protectiondata privacyprivacy anonymitydifferential privacydiscrete algorithmsstatistical inferenceapplied mathematicsstatistics

Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks. arXiv (Cornell University) (2022)

Di, Jimmy Z.Douglas, JackAcharya, JayadevKamath, GautamSekhari, Ayush

computer sciencethreat detectionadversarial machine learningdata privacypoisoned datasetmachine unlearninginformation securitycomputer securityinformation forensicsdata securitymachine learning researchdata scienceattack modelhidden poisonevasion techniquepattern recognitionmachine learning

The Role of Interactivity in Structured Estimation. arXiv (Cornell University) (2022)

Acharya, JayadevCanonne, Clément L.Sun, ZitengTyagi, Himanshu

mathematical optimizationcomputer sciencestatistical methodologyinferencesparse representationsstructured estimationmachine learningcomputational statisticsdata sciencecompressive sensingstatistical inferenceblock sparsitystatisticshigh-dimensional statistics

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Jayadev Acharya

Associate Professor

Cornell University

Affiliations

College of Engineering

School of Electrical and Computer Engineering

Jayadev Acharya is currently serving as a College Of Engineering Associate Professor at Cornell University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jayadev Acharya

Cornell University

Associate Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Initializing a Public Repository for Hosting Benchmark Datasets to Facilitate Machine Learning Model Development in Food Safety. Journal of Food Protection (2025)

Chenhao QianHuan YangJayadev AcharyaJingqiu LiaoRenata IvanekMartin Wiedmann

artificial intelligenceinfectious diseasesfood safety risk assessmentinfection controlfoodborne illnesspathogensmachine learning researchnew yorkdata sciencefood safetymachine learning

Pauli Measurements Are Not Optimal for Single-Copy Tomography. (2025)

Jayadev AcharyaAbhilash DharmavarapuYuhan LiuNengkun Yu

measurementmedical imagingcomputed tomographyradiologybiomedical imagingpauli measurements

Quantum State Testing With Restricted Measurements. arXiv (Cornell University) (2024)

Liu, YuhanAcharya, Jayadev

The Role of Shared Randomness in Quantum State Certification With Unentangled Measurements. arXiv (Cornell University) (2024)

Liu, YuhanAcharya, Jayadev

computer sciencequantum computinglower boundsquantum information sciencequantum state certificationunknown quantum statemathematicsquantum communicationsquantum sciencequantum measurement

Optimal Rates for Nonparametric Density Estimation Under Communication Constraints. IEEE Transactions on Information Theory (2023)

Jayadev AcharyaClément L. CanonneAditya Vikram SinghHimanshu Tyagi

Unified Lower Bounds for Interactive High-Dimensional Estimation Under Information Constraints. arXiv (Cornell University) (2023)

Jayadev AcharyaClément L. CanonneZiteng SunHimanshu Tyagi

A Perspective on Data Sharing in Digital Food Safety Systems. Critical Reviews in Food Science and Nutrition (2022)

Chenhao QianYuhan LiuCecil Barnett-NeefsSudeep SalgiaOmer SerbetciAaron AdaljaJayadev AcharyaQing ZhaoRenata IvanekMartin Wiedmann

Discrete Distribution Estimation Under User-Level Local Differential Privacy. arXiv (Cornell University) (2022)

Acharya, JayadevLiu, YuhanSun, Ziteng

Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks. arXiv (Cornell University) (2022)

Di, Jimmy Z.Douglas, JackAcharya, JayadevKamath, GautamSekhari, Ayush

The Role of Interactivity in Structured Estimation. arXiv (Cornell University) (2022)

Acharya, JayadevCanonne, Clément L.Sun, ZitengTyagi, Himanshu

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