Joon Sik Kim

25 papers A* 6A 1B 1Misc 1Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dynamic Threshold Key Encapsulation With Transparent Setup.
IEEE Trans. Inf. Forensics Secur.
Joon Sik Kim, Kwangsu Lee, Jong Hwan Park, Hyoseung Kim
2024 J jnl
Dynamic Threshold Key Encapsulation with a Transparent Setup.
IACR Cryptol. ePrint Arch.
Joon Sik Kim, Kwangsu Lee, Jong Hwan Park, Hyoseung Kim
2023 J jnl
Assisting Human Decisions in Document Matching.
CoRR
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar
2023 J jnl
Assisting Human Decisions in Document Matching.
Trans. Mach. Learn. Res.
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B. Shah, Ameet Talwalkar
2022 J jnl
A Generic Approach to Build Revocable Hierarchical Identity-Based Encryption.
IEEE Access
Kwangsu Lee, Joon Sik Kim
2022 A* conf
Bayesian Persuasion for Algorithmic Recourse.
NeurIPS
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
2022 J jnl
Interpretable machine learning: moving from mythos to diagnostics.
Commun. ACM
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2022 A* conf
Sanity Simulations for Saliency Methods.
ICML
Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2021 J jnl
A Generic Approach to Build Revocable Hierarchical Identity-Based Encryption.
IACR Cryptol. ePrint Arch.
Kwangsu Lee, Joon Sik Kim
2021 J jnl
Bayesian Persuasion for Algorithmic Recourse.
CoRR
Keegan Harris, Valerie Chen, Joon Sik Kim, Ameet Talwalkar, Hoda Heidari, Zhiwei Steven Wu
2021 J jnl
Interpretable Machine Learning: Moving from mythos to diagnostics.
ACM Queue
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2021 J jnl
Sanity Simulations for Saliency Methods.
CoRR
Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2021 J jnl
Towards Connecting Use Cases and Methods in Interpretable Machine Learning.
CoRR
Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar
2020 A conf
Automated Dependence Plots.
UAI
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
2020 J jnl
Efficient Topological Layer based on Persistent Landscapes.
CoRR
Kwangho Kim, Jisu Kim, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
2020 A* conf
FACT: A Diagnostic for Group Fairness Trade-offs.
ICML
Joon Sik Kim, Jiahao Chen, Ameet Talwalkar
2020 J jnl
Model-Agnostic Characterization of Fairness Trade-offs.
CoRR
Joon Sik Kim, Jiahao Chen, Ameet Talwalkar
2020 A* conf
PLLay: Efficient Topological Layer based on Persistent Landscapes.
NeurIPS
Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon Sik Kim, Frédéric Chazal, Larry A. Wasserman
2019 J jnl
Diagnostic Curves for Black Box Models.
CoRR
David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
2019 B conf
Smart Survey Tool: A Multi Device Platform for Museum Visitor Tracking and Tracking Data Visualization.
PacificVis
Paul Craig, Yiwen Wang, Joon Sik Kim, Gang Chen, Yu Liu, Jiabei Li, Zhiqiang Gao, Gao Du
2018 A* conf
Representer Point Selection for Explaining Deep Neural Networks.
NeurIPS
Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar
2018 J jnl
Representer Point Selection for Explaining Deep Neural Networks.
CoRR
Chih-Kuan Yeh, Joon Sik Kim, Ian En-Hsu Yen, Pradeep Ravikumar
2017 Misc conf
Recipient Revocable Broadcast Encryption with Dealership.
ICISC
Joon Sik Kim, Young Kyung Lee, Jieun Eom, Dong Hoon Lee
2016 A* conf
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses.
ICDM
Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue
2016 J jnl
A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses.
CoRR
Matteo Ruggero Ronchi, Joon Sik Kim, Yisong Yue