A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses. - Matteo Ruggero Ronchi; Joon Sik Kim; Yisong Yue (ICDM, 2016)

Recipient Revocable Broadcast Encryption with Dealership. - Joon Sik Kim; Young Kyung Lee; Jieun Eom; Dong Hoon Lee 001 (ICISC, 2017)

Representer Point Selection for Explaining Deep Neural Networks. - Chih-Kuan Yeh; Joon Sik Kim; Ian En-Hsu Yen; Pradeep Ravikumar (NeurIPS, 2018)

Smart Survey Tool: A Multi Device Platform for Museum Visitor Tracking and Tracking Data Visualization. - Paul Craig; Yiwen Wang; Joon Sik Kim; Gang Chen; Yu Liu 077; Jiabei Li; Zhiqiang Gao; Gao Du (PacificVis, 2019)

Diagnostic Curves for Black Box Models. - David I. Inouye; Liu Leqi; Joon Sik Kim; Bryon Aragam; Pradeep Ravikumar (CoRR, 2019)

FACT: A Diagnostic for Group Fairness Trade-offs. - Joon Sik Kim; Jiahao Chen 001; Ameet Talwalkar (ICML, 2020)

PLLay: Efficient Topological Layer based on Persistent Landscapes. - Kwangho Kim; Jisu Kim; Manzil Zaheer; Joon Sik Kim; Frédéric Chazal; Larry A. Wasserman (NeurIPS, 2020)

Automated Dependence Plots. - David I. Inouye; Liu Leqi; Joon Sik Kim; Bryon Aragam; Pradeep Ravikumar (UAI, 2020)

Efficient Topological Layer based on Persistent Landscapes. - Kwangho Kim; Jisu Kim; Joon Sik Kim; Frédéric Chazal; Larry A. Wasserman (CoRR, 2020)

Model-Agnostic Characterization of Fairness Trade-offs. - Joon Sik Kim; Jiahao Chen 001; Ameet Talwalkar (CoRR, 2020)

Towards Connecting Use Cases and Methods in Interpretable Machine Learning. - Valerie Chen; Jeffrey Li; Joon Sik Kim; Gregory Plumb; Ameet Talwalkar (CoRR, 2021)

Interpretable Machine Learning: Moving from mythos to diagnostics. - Valerie Chen; Jeffrey Li; Joon Sik Kim; Gregory Plumb; Ameet Talwalkar (ACM Queue, 2021)

Sanity Simulations for Saliency Methods. - Joon Sik Kim; Gregory Plumb; Ameet Talwalkar (ICML, 2022)

Bayesian Persuasion for Algorithmic Recourse. - Keegan Harris; Valerie Chen; Joon Sik Kim; Ameet Talwalkar; Hoda Heidari; Zhiwei Steven Wu (NeurIPS, 2022)

A Generic Approach to Build Revocable Hierarchical Identity-Based Encryption. - Kwangsu Lee; Joon Sik Kim (IEEE Access, 2022)

Assisting Human Decisions in Document Matching. - Joon Sik Kim; Valerie Chen; Danish Pruthi; Nihar B. Shah; Ameet Talwalkar (Trans. Mach. Learn. Res., 2023)

Dynamic Threshold Key Encapsulation With Transparent Setup. - Joon Sik Kim; Kwangsu Lee; Jong Hwan Park; Hyoseung Kim 002 (IEEE Trans. Inf. Forensics Secur., 2025)