Jihun Hamm

发表

Enhancing utility and privacy with noisy minimax filters

Jihun Hamm, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Jihun Hamm, 2017, ArXiv.

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

Jihun Hamm, Gordon Moon, Jihun Hamm, 2016, MobiCASE.

Statistical Privacy for Streaming Traffic

Michael K. Reiter, Yinqian Zhang, Jihun Hamm, 2019, NDSS.

MACHINE VS MACHINE: MINIMAX-OPTIMAL DEFENSE AGAINST ADVERSARIAL EXAMPLES

Jihun Hamm, 2018 .

Regional Manifold Learning for Deformable Registration of Brain MR Images

Christos Davatzikos, Kilian M. Pohl, Dong Hye Ye, 2012, MICCAI.

Personalized video summarization with human in the loop

Bohyung Han, Jihun Hamm, Jack Sim, 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).

FLOOR: Fusing Locally Optimal Registrations

Kilian M. Pohl, Dong Hye Ye, Benoit Desjardins, 2013, MICCAI.

Automatic Annotation of Daily Activity from Smartphone-Based Multisensory Streams

Mikhail Belkin, Simon Dennis, Jihun Hamm, 2012, MobiCASE.

Learning privately from multiparty data

Mikhail Belkin, Yingjun Cao, Jihun Hamm, 2016, ICML.

Penalty Method for Inversion-Free Deep Bilevel Optimization pdf

Jihun Hamm, Akshay Mehra, 2019, ArXiv.

Probabilistic Zero-shot Classification with Semantic Rankings pdf

Mikhail Belkin, Jihun Hamm, Mikhail Belkin, 2015, ArXiv.

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

Mikhail Belkin, Dong Xuan, Adam C. Champion, 2015, 2015 IEEE 35th International Conference on Distributed Computing Systems.

Combining regional metrics for disease-related brain population analysis

Kilian M. Pohl, Dong Hye Ye, Jihun Hamm, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

How Robust are Randomized Smoothing based Defenses to Data Poisoning? pdf

Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm, 2020, ArXiv.

Qualitative Tracking Performance Evaluation without Ground-Truth

Bohyung Han, Jihun Hamm, Bohyung Han, 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.

GRAM: A framework for geodesic registration on anatomical manifolds

Christos Davatzikos, Dong Hye Ye, Ragini Verma, 2010, Medical Image Anal..

K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning

Jihun Hamm, Yung-Kyun Noh, Jihun Hamm, 2018, ICML.

Adding a Capability to Extract Sentiment from Text Using HanDles

Peter Kwantes, Jihun Hamm, Simon Dennis, 2012 .

Minimax Filter: Learning to Preserve Privacy from Inference Attacks

Jihun Hamm, Jihun Hamm, 2016, J. Mach. Learn. Res..

Preserving Privacy of Continuous High-dimensional Data with Minimax Filters

Jihun Hamm, 2015, AISTATS.

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

Jihun Hamm, Jackson Luken, Yani Xie, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast Interactive Image Retrieval using large-scale unlabeled data pdf

Mikhail Belkin, Jihun Hamm, Akshay Mehra, 2018, ArXiv.

Fluid Dynamic Models for Bhattacharyya-Based Discriminant Analysis

Byoung-Tak Zhang, Frank Chongwoo Park, Daniel D. Lee, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Regional Manifold Learning for Disease Classification

Kilian M. Pohl, Dong Hye Ye, Harold Litt, 2014, IEEE Transactions on Medical Imaging.

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

Insik Shin, Byunggill Joe, Sung Ju Hwang, 2020, ArXiv.

K-Beam Subgradient Descent for Minimax Optimization pdf

Jihun Hamm, Yung-Kyun Noh, Jihun Hamm, 2018, ICML 2018.

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

Christos Davatzikos, Ragini Verma, Jihun Hamm, 2009, MICCAI.

How Robust are Randomized Smoothing based Defenses to Data Poisoning?

Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Bhavya Kailkhura, Z. Morley Mao, Jihun Hamm, 2021, ArXiv.

Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning pdf

Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm, 2021, NeurIPS.

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

Insik Shin, Byunggill Joe, Jihun Hamm, 2021, ArXiv.