Philippe Burlina

Philippe Burlina

Johns Hopkins University

H-index: 40

North America-United States

About Philippe Burlina

Philippe Burlina, With an exceptional h-index of 40 and a recent h-index of 25 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Machine Intelligence/Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?

Classification utility, fairness, and compactness via tunable information bottleneck and Rényi measures

EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness

Accuracy of artificial intelligence in estimating best-corrected visual acuity from fundus photographs in eyes with diabetic macular edema

Evaluating trade-offs in computer vision between attribute privacy, fairness and utility

Detecting anomalies in retinal diseases using generative, discriminative, and self-supervised deep learning

Achieving utility, fairness, and compactness via tunable information bottleneck measures

Addressing heterogeneity in federated learning via distributional transformation

Philippe Burlina Information

University

Position

/CS /SOM /APL Malone MCEH

Citations(all)

5862

Citations(since 2020)

3490

Cited By

3648

hIndex(all)

40

hIndex(since 2020)

25

i10Index(all)

86

i10Index(since 2020)

51

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Philippe Burlina Skills & Research Interests

Machine Intelligence/Vision

Top articles of Philippe Burlina

Title

Journal

Author(s)

Publication Date

Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks?

Nathan Drenkow

Max Lennon

I Wang

Philippe Burlina

2023

Classification utility, fairness, and compactness via tunable information bottleneck and Rényi measures

IEEE Transactions on Information Forensics and Security

Adam Gronowski

William Paul

Fady Alajaji

Bahman Gharesifard

Philippe Burlina

2023/12/5

EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness

Haolin Yuan

John Aucott

Armin Hadzic

William Paul

Marcia Villegas de Flores

...

2023/10/1

Accuracy of artificial intelligence in estimating best-corrected visual acuity from fundus photographs in eyes with diabetic macular edema

JAMA ophthalmology

William Paul

Philippe Burlina

Rohita Mocharla

Neil Joshi

Zhuolin Li

...

2023/7/1

Evaluating trade-offs in computer vision between attribute privacy, fairness and utility

arXiv preprint arXiv:2302.07917

William Paul

Philip Mathew

Fady Alajaji

Philippe Burlina

2023/2/15

Detecting anomalies in retinal diseases using generative, discriminative, and self-supervised deep learning

JAMA ophthalmology

Philippe Burlina

William Paul

TY Alvin Liu

Neil M Bressler

2022/2/1

Achieving utility, fairness, and compactness via tunable information bottleneck measures

arXiv preprint arXiv:2206.10043

Adam Gronowski

William Paul

Fady Alajaji

Bahman Gharesifard

Philippe Burlina

2022

Addressing heterogeneity in federated learning via distributional transformation

Haolin Yuan

Bo Hui

Yuchen Yang

Philippe Burlina

Neil Zhenqiang Gong

...

2022/10/23

Robustness and Adaptation to Hidden Factors of Variation

William Paul

Philippe Burlina

2022

Rényi fair information bottleneck for image classification

Adam Gronowski

William Paul

Fady Alajaji

Bahman Gharesifard

Philippe Burlina

2022/6/5

Attack agnostic detection of adversarial examples via random subspace analysis

Nathan Drenkow

Neil Fendley

Philippe Burlina

2022

Edgemixup: improving fairness for skin disease classification and segmentation

arXiv preprint arXiv:2202.13883

Haolin Yuan

Armin Hadzic

William Paul

Daniella Villegas de Flores

Philip Mathew

...

2022/2/28

TARA: Training and representation alteration for AI fairness and domain generalization

Neural Computation

William Paul

Armin Hadzic

Neil Joshi

Fady Alajaji

Philippe Burlina

2022/2/17

Addressing artificial intelligence bias in retinal diagnostics

Translational Vision Science & Technology

Philippe Burlina

Neil Joshi

William Paul

Katia D Pacheco

Neil M Bressler

2021/2/5

Least th-Order and Rényi Generative Adversarial Networks

Neural Computation

Himesh Bhatia

William Paul

Fady Alajaji

Bahman Gharesifard

Philippe Burlina

2021/8/19

Practical blind membership inference attack via differential comparisons

Bo Hui

Yuchen Yang

Haolin Yuan

Philippe Burlina

Neil Zhenqiang Gong

...

2021

Adaptation and Generalization for Unknown Sensitive Factors of Variations

arXiv preprint arXiv:2107.13625

William Paul

Philippe Burlina

2021/7/28

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning

Cristina Oyarzun Laura

M Jorge Cardoso

Michal Rosen-Zvi

Georgios Kaissis

Marius George Linguraru

...

2021/11/13

AI fairness via domain adaptation

arXiv preprint arXiv:2104.01109

Neil Joshi

Phil Burlina

2021/3/15

Patch attack invariance: How sensitive are patch attacks to 3d pose?

Max Lennon

Nathan Drenkow

Phil Burlina

2021

See List of Professors in Philippe Burlina University(Johns Hopkins University)

Co-Authors

H-index: 143
Ramalingam Chellappa

Ramalingam Chellappa

Johns Hopkins University

H-index: 139
Larry Davis

Larry Davis

University of Maryland

H-index: 81
Aloimonos

Aloimonos

University of Maryland, Baltimore

H-index: 72
Andre Levchenko

Andre Levchenko

Yale University

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