We stand with Ukraine

We stand with Ukraine

Jihun Hamm

Orcid: 0000-0002-0680-0901

Affiliations:

Tulane University, New Orleans, LA, USA

According to our database¹, Jihun Hamm authored at least 49 papers between 2004 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

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Links

Online presence:

On csauthors.net:

Bibliography

2023

On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization.

[BibT_eX]

[DOI]

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Bhavya Kailkhura

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CoRR, 2023

Can Domain Adaptation Improve Accuracy and Fairness of Skin Lesion Classification?

[BibT_eX]

[DOI]

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CoRR, 2023

Analysis of Task Transferability in Large Pre-trained Classifiers.

[BibT_eX]

[DOI]

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CoRR, 2023

FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation.

[BibT_eX]

[DOI]

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Nassir Marrouche

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Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022

Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based Visual Retrieval.

[BibT_eX]

[DOI]

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IEEE Trans. Image Process., 2022

Defeating traffic analysis via differential privacy: a case study on streaming traffic.

[BibT_eX]

[DOI]

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Michael K. Reiter

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Int. J. Inf. Sec., 2022

On Certifying and Improving Generalization to Unseen Domains.

[BibT_eX]

[DOI]

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Bhavya Kailkhura

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CoRR, 2022

Online Evasion Attacks on Recurrent Models: The Power of Hallucinating the Future.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness.

[BibT_eX]

[DOI]

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Bhavya Kailkhura

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Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines.

[BibT_eX]

[DOI]

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Bhavya Kailkhura

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CoRR, 2021

Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks.

[BibT_eX]

[DOI]

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CoRR, 2021

Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning.

[BibT_eX]

[DOI]

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Bhavya Kailkhura

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?

[BibT_eX]

[DOI]

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Bhavya Kailkhura

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Penalty Method for Inversion-Free Deep Bilevel Optimization.

[BibT_eX]

[DOI]

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Proceedings of the Asian Conference on Machine Learning, 2021

2020

Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection.

[BibT_eX]

[DOI]

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CoRR, 2020

2019

Statistical Privacy for Streaming Traffic.

[BibT_eX]

[DOI]

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Michael K. Reiter

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Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

2018

Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis.

[BibT_eX]

[DOI]

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Frank Chongwoo Park

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Byoung-Tak Zhang

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IEEE Trans. Pattern Anal. Mach. Intell., 2018

K-Beam Subgradient Descent for Minimax Optimization.

[BibT_eX]

[DOI]

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CoRR, 2018

Fast Interactive Image Retrieval using large-scale unlabeled data.

[BibT_eX]

[DOI]

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CoRR, 2018

K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning.

[BibT_eX]

[DOI]

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Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Minimax Filter: Learning to Preserve Privacy from Inference Attacks.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Machine vs Machine: Defending Classifiers Against Learning-based Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2017

Crowd-ML: A library for privacy-preserving machine learning on smart devices.

[BibT_eX]

[DOI]

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Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Enhancing utility and privacy with noisy minimax filters.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Learning Privately from Multiparty Data.

[BibT_eX]

[DOI]

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CoRR, 2016

A Large-Scale Study in Predictability of Daily Activities and Places.

[BibT_eX]

[DOI]

Gordon Euhyun Moon

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Proceedings of the 8th EAI International Conference on Mobile Computing, 2016

Learning privately from multiparty data.

[BibT_eX]

[DOI]

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Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Probabilistic Zero-shot Classification with Semantic Rankings.

[BibT_eX]

[DOI]

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CoRR, 2015

Qualitative Tracking Performance Evaluation without Ground-Truth.

[BibT_eX]

[DOI]

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Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices.

[BibT_eX]

[DOI]

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Adam C. Champion

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Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

Preserving Privacy of Continuous High-dimensional Data with Minimax Filters.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Regional Manifold Learning for Disease Classification.

[BibT_eX]

[DOI]

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Benoit Desjardins

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IEEE Trans. Medical Imaging, 2014

2013

FLOOR: Fusing Locally Optimal Registrations.

[BibT_eX]

[DOI]

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Benoit Desjardins

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Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012

Automatic Annotation of Daily Activity from Smartphone-Based Multisensory Streams.

[BibT_eX]

[DOI]

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Proceedings of the Mobile Computing, Applications, and Services, 2012

Regional Manifold Learning for Deformable Registration of Brain MR Images.

[BibT_eX]

[DOI]

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Christos Davatzikos

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Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Combining regional metrics for disease-related brain population analysis.

[BibT_eX]

[DOI]

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Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Personalized video summarization with human in the loop.

[BibT_eX]

[DOI]

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Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

2010

GRAM: A framework for geodesic registration on anatomical manifolds.

[BibT_eX]

[DOI]

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Christos Davatzikos

Medical Image Anal., 2010

2009

Efficient Large Deformation Registration via Geodesics on a Learned Manifold of Images.

[BibT_eX]

[DOI]

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Christos Davatzikos

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Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008

Learning a Warped Subspace Model of Faces with Images of Unknown Pose and Illumination.

[BibT_eX]

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Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Extended Grassmann Kernels for Subspace-Based Learning.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Regularized discriminant analysis for transformation-invariant object recognition.

[BibT_eX]

[DOI]

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Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Grassmann discriminant analysis: a unifying view on subspace-based learning.

[BibT_eX]

[DOI]

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Proceedings of the Machine Learning, 2008

2006

Learning a manifold-constrained map between image sets: applications to matching and pose estimation.

[BibT_eX]

[DOI]

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Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Spectral Methods for Dimensionality Reduction.

[BibT_eX]

[DOI]

Lawrence K. Saul

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Kilian Q. Weinberger

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Proceedings of the Semi-Supervised Learning, 2006

2005

Cooperative relative robot localization with audible acoustic sensing.

[BibT_eX]

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Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Learning nonlinear appearance manifolds for robot localization.

[BibT_eX]

[DOI]

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Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Semisupervised alignment of manifolds.

[BibT_eX]

[DOI]

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Lawrence K. Saul

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

A kernel view of the dimensionality reduction of manifolds.

[BibT_eX]

[DOI]

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Bernhard Schölkopf

Proceedings of the Machine Learning, 2004

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