Jong Youl Choi

74 papers A* 4A 8B 5C 5Misc 2Journal 28Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research. CoRR Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark R. Cianciosa, Franklin Curtis, Gregory G. Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory D. Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, M. Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Timothy Reed Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash
2025	J	`jnl`	How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning. CoRR Matt Landreman, Jong Youl Choi, Caio Alves, Prasanna Balaprakash, Randy Michael Churchill, Rory Conlin, Gareth Roberg-Clark
2025	—	`conf`	Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. SC Workshops Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P. K. Yeung, Daniel Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang
2025	J	`jnl`	Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. CoRR Wesley Brewer, Muralikrishnan Gopalakrishnan Meena, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen M. de Bruyn Kops, P. K. Yeung, Daniel Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang
2025	J	`jnl`	Lustre Unveiled: Evolution, Design, Advancements, and Current Trends. ACM Trans. Storage Anjus George, Andreas Dilger, Michael J. Brim, Rick Mohr, Amir Shehata, Jong Youl Choi, Ahmad Maroof Karimi, Jesse Hanley, James Simmons, Dominic Manno, Verónica Melesse Vergara, Sarp Oral, Christopher Zimmer
2025	J	`jnl`	Multi-task parallelism for robust pre-training of graph foundation models on multi-source, multi-fidelity atomistic modeling data. CoRR Massimiliano Lupo Pasini, Jong Youl Choi, Pei Zhang, Kshitij Mehta, Rylie Weaver, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash
2025	J	`jnl`	Scalable training of trustworthy and energy-efficient predictive graph foundation models for atomistic materials modeling: a case study with HydraGNN. J. Supercomput. Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David M. Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jordà Polo, Prasanna Balaprakash
2025	A*	`conf`	Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. DAC Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Prasanna Balaprakash
2025	J	`jnl`	Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling. CoRR Chaojian Li, Zhifan Ye, Massimiliano Lupo Pasini, Jong Youl Choi, Cheng Wan, Yingyan Celine Lin, Prasanna Balaprakash
2024	—	`conf`	MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training. SC Workshops Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Pei Zhang, Khaled Z. Ibrahim
2024	—	`conf`	MDLoader: A Hybrid Model-driven Data Loader for Distributed Deep Neural Networks Training. IPDPS (Workshops) Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Khaled Z. Ibrahim
2024	—	`conf`	Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations. VisGap@EuroVis David Pugmire, Jong Youl Choi, Scott Klasky, Kenneth Moreland, Eric Suchyta, Tushar M. Athawale, Zhe Wang, Choong-Seock Chang, Seung-Hoe Ku, Robert Hager
2024	J	`jnl`	Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN. CoRR Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David M. Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash
2023	B	`conf`	Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching. MASCOTS Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang
2023	—	`conf`	DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets. SC Workshops Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim
2023	J	`jnl`	Data Distillation for Neural Network Potentials toward Foundational Dataset. CoRR Gang Seob Jung, SangKeun Lee, Jong Youl Choi
2022	J	`jnl`	A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky
2022	C	`conf`	Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frédéric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky
2022	A	`conf`	Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems. HPDC Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang
2022	J	`jnl`	Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems Mach. Learn. Sci. Technol. Massimiliano Lupo Pasini, Pei Zhang, Samuel Temple Reeve, Jong Youl Choi
2022	J	`jnl`	Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems. CoRR Massimiliano Lupo Pasini, Pei Zhang, Samuel Temple Reeve, Jong Youl Choi
2022	J	`jnl`	Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules. CoRR Jong Youl Choi, Pei Zhang, Kshitij Mehta, Andrew E. Blanchard, Massimiliano Lupo Pasini
2022	J	`jnl`	Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules. J. Cheminformatics Jong Youl Choi, Pei Zhang, Kshitij Mehta, Andrew E. Blanchard, Massimiliano Lupo Pasini
2021	A	`conf`	Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2021	—	`conf`	DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers. ICPP Workshops Swati Singhal, Alan Sussman, Matthew Wolf, Kshitij Mehta, Jong Youl Choi
2021	B	`conf`	Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky
2021	J	`jnl`	Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2020	J	`jnl`	Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications. ACM Trans. Storage Bing Xie, Sarp Oral, Christopher Zimmer, Jong Youl Choi, David Dillow, Scott Klasky, Jay F. Lofstead, Norbert Podhorszki, Jeffrey S. Chase
2020	J	`jnl`	Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. CoRR Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi, Cong Xie, Kevin A. Huck, Jong Youl Choi, Abid Malik, Li Tang, Hubertus Van Dam, Line Pouchard, Wei Xu, Shinjae Yoo, Nicholas D'Imperio, Kerstin Kleese van Dam
2020	—	`conf`	Leading magnetic fusion energy science into the big-and-fast data lane. SciPy Ralph Kube, Randy Michael Churchill, Jong Youl Choi, Ruonan Wang, Scott Klasky, CS Chang, Minjun J. Choi, Jinseop Park
2019	J	`jnl`	Harnessing Data Movement in Virtual Clusters for In-Situ Execution. IEEE Trans. Parallel Distributed Syst. Dan Huang, Qing Liu, Scott Klasky, Jun Wang, Jong Youl Choi, Jeremy Logan, Norbert Podhorszki
2018	—	`conf`	Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood
2017	—	`conf`	Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. HPCC/SmartCity/DSS Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
2017	—	`conf`	Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. HotStorage Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
2017	A	`conf`	Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. ICDCS Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
2017	—	`conf`	Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
2017	A	`conf`	Exacution: Enhancing Scientific Data Management for Exascale. ICDCS Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan
2017	C	`conf`	Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. CLUSTER Jeremy Logan, Jong Youl Choi, Matthew Wolf, George Ostrouchov, Lipeng Wan, Norbert Podhorszki, William F. Godoy, Scott Klasky, Erich Lohrmann, Greg Eisenhauer, Chad Wood, Kevin A. Huck
2017	—	`conf`	On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. ISC Workshops Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann
2017	J	`jnl`	On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. CoRR Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann
2017	A	`conf`	Predicting Output Performance of a Petascale Supercomputer. HPDC Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral
2017	Misc	`conf`	StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. ICCS Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He
2017	C	`conf`	TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang
2016	—	`conf`	Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows. DIDC@HPDC Melissa Romanus, Fan Zhang, Tong Jin, Qian Sun, Hoang Bui, Manish Parashar, Jong Youl Choi, Saloman Janhunen, Robert Hager, Scott Klasky, Choong-Seock Chang, Ivan Rodero
2016	J	`jnl`	Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. IEEE Trans. Big Data Lingfei Wu, K. John Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky
2016	—	`conf`	Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low
2015	A*	`conf`	Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. SIGMETRICS Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
2015	B	`conf`	Combining phase identification and statistic modeling for automated parallel benchmark generation. PPoPP Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
2015	—	`conf`	Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. ISAV@SC James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire
2015	J	`jnl`	Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. CoRR Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky
2014	—	`conf`	Active workflow system for near real-time extreme-scale science. PPAA@PPoPP Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki
2014	J	`jnl`	Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu
2013	B	`conf`	ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf
2012	—	`conf`	Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. eScience Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox
2011	J	`jnl`	Browsing large-scale cheminformatics data with dimension reduction. Concurr. Comput. Pract. Exp. Jong Youl Choi, Seung-Hee Bae, Judy Qiu, Bin Chen, David J. Wild
2011	J	`jnl`	Cloud computing paradigms for pleasingly parallel biomedical applications. Concurr. Comput. Pract. Exp. Thilina Gunarathne, Tak-Lon Wu, Jong Youl Choi, Seung-Hee Bae, Judy Qiu
2010	A	`conf`	Browsing large scale cheminformatics data with dimension reduction. HPDC Jong Youl Choi, Seung-Hee Bae, Judy Qiu, Geoffrey C. Fox, Bin Chen, David J. Wild
2010	A	`conf`	Dimension reduction and visualization of large high-dimensional data via interpolation. HPDC Seung-Hee Bae, Jong Youl Choi, Judy Qiu, Geoffrey C. Fox
2010	Misc	`conf`	Generative topographic mapping by deterministic annealing. ICCS Jong Youl Choi, Judy Qiu, Marlon E. Pierce, Geoffrey C. Fox
2010	B	`conf`	High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis. CCGRID Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoffrey C. Fox
2010	J	`jnl`	Hybrid cloud and cluster computing paradigms for life science applications. BMC Bioinform. Judy Qiu, Jaliya Ekanayake, Thilina Gunarathne, Jong Youl Choi, Seung-Hee Bae, Hui Li, Bingjing Zhang, Tak-Lon Wu, Yang Ruan, Saliya Ekanayake, Adam Hughes, Geoffrey C. Fox
2009	C	`conf`	Biomedical Case Studies in Data Intensive Computing. CloudCom Geoffrey C. Fox, Xiaohong Qiu, Scott Beason, Jong Youl Choi, Jaliya Ekanayake, Thilina Gunarathne, Mina Rho, Haixu Tang, Neil Devadasan, Gilbert C. Liu
2009	J	`jnl`	Using Web 2.0 for scientific applications and scientific communities. Concurr. Comput. Pract. Exp. Marlon E. Pierce, Geoffrey C. Fox, Jong Youl Choi, Zhenhua Guo, Xiaoming Gao, Yu Ma
2008	—	`conf`	BioVLAB-Microarray: Microarray Data Analysis in Virtual Environment. eScience Youngik Yang, Jong Youl Choi, Kwangmin Choi, Marlon E. Pierce, Dennis Gannon, Sun Kim
2008	J	`jnl`	Fast and Black-box Exploit Detection and Signature Generation for Commodity Software. ACM Trans. Inf. Syst. Secur. Xiaofeng Wang, Zhuowei Li, Jong Youl Choi, Jun Xu, Michael K. Reiter, Chongkyung Kil
2008	A*	`conf`	PRECIP: Towards Practical and Retrofittable Confidential Information Protection. NDSS Xiaofeng Wang, Zhuowei Li, Ninghui Li, Jong Youl Choi
2008	—	`conf`	SALSA Project: Parallel Data Mining of GIS, Web, Medical, Physics, Chemical, and Biology Data. eScience Xiaohong Qiu, Geoffrey C. Fox, Seung-Hee Bae, Jong Youl Choi, Jaliya Ekanayake, Yang Ruan
2008	—	`conf`	Social networking for scientists using tagging and shared bookmarks: a Web 2.0 application. CTS Marlon E. Pierce, Geoffrey C. Fox, Joshua J. Rosen, Siddharth Maini, Jong Youl Choi
2007	A	`conf`	SpyShield: Preserving Privacy from Spy Add-Ons. RAID Zhuowei Li, Xiaofeng Wang, Jong Youl Choi
2006	—	`conf`	Auditable Privacy: On Tamper-Evident Mix Networks. Financial Cryptography Jong Youl Choi, Philippe Golle, Markus Jakobsson
2006	A*	`conf`	Packet vaccine: black-box exploit detection and signature generation. CCS Xiaofeng Wang, Zhuowei Li, Jun Xu, Michael K. Reiter, Chongkyung Kil, Jong Youl Choi
2006	C	`conf`	Tamper-Evident Digital Signature Protecting Certification Authorities Against Malware. DASC Jong Youl Choi, Philippe Golle, Markus Jakobsson
2005	—	`conf`	Balancing auditability and privacy in vehicular networks. Q2SWinet Jong Youl Choi, Markus Jakobsson, Susanne Wetzel
2005	J	`jnl`	Tamper-Evident Digital Signatures: Protecting Certification Authorities Against Malware. IACR Cryptol. ePrint Arch. Jong Youl Choi, Philippe Golle, Markus Jakobsson