Adam Dziedzic

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	All	Since 2018
Citations	745	702
h-index	13	13
i10-index	15	14

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Aaron J ElmoreAssociate Professor at The University of ChicagoVerified email at uchicago.edu
Nicolas PapernotUniversity of Toronto and Vector InstituteVerified email at utoronto.ca
Sanjay KrishnanUniversity of ChicagoVerified email at cs.uchicago.edu
Vijay GadepallyMITVerified email at mit.edu
Franziska BoenischPostdoctoral Fellow, Vector InstituteVerified email at vectorinstitute.ai
Timothy G MattsonSenior Principal engineer, Intel CorporationVerified email at intel.com
Jeremy KepnerMIT Lincoln Laboratory Supercomputing CenterVerified email at ll.mit.edu
Dan HendrycksDirector of the Center for AI SafetyVerified email at berkeley.edu
Eric WallaceUC BerkeleyVerified email at berkeley.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Xiaoyuan LiuUC BerkeleyVerified email at berkeley.edu
Jennie RogersAssociate Professor, Northwestern UniversityVerified email at northwestern.edu
Muhammad Ahmad KaleemUniversity of TorontoVerified email at mail.utoronto.ca
Ali Shahin ShamsabadiResearch Associate at The Alan Turing Institute, Visitor at Vector InstituteVerified email at turing.ac.uk
Michael FranklinLiew Family Chair of Computer Science, University of ChicagoVerified email at uchicago.edu
John Paparrizos🔬 The DATUM Lab 🎓 The Ohio State UniversityVerified email at paparrizos.org
Samuel MaddenMITVerified email at csail.mit.edu
Christopher A. Choquette-ChooGoogle Research, Brain TeamVerified email at google.com
Somesh JhaLubar Chair of Computer Science, University of WisconsinVerified email at cs.wisc.edu
Natalie DullerudPh.D. Student, Stanford UniversityVerified email at stanford.edu

Adam Dziedzic

Vector Institute & University of Toronto

Verified email at vectorinstitute.ai - Homepage

Machine Learning Systems Databases


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Pretrained transformers improve out-of-distribution robustness D Hendrycks, X Liu, E Wallace, A Dziedzic, R Krishnan, D Song ACL 2020, 2020	274	2020
Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis. T Mattson, V Gadepally, Z She, A Dziedzic, J Parkhurst CIDR, 2017	67	2017
When the curious abandon honesty: Federated learning is not private F Boenisch, A Dziedzic, R Schuster, AS Shamsabadi, I Shumailov, ... arXiv preprint arXiv:2112.02918, 2021	58*	2021
September 2017. BigDAWG Version 0.1 V Gadepally, K O'Brien, A Dziedzic, A Elmore, J Kepner, S Madden, ... IEEE High Performance Extreme, 0	44
CaPC Learning: Confidential and Private Collaborative Learning CA Choquette-Choo, N Dullerud, A Dziedzic, Y Zhang, S Jha, N Papernot, ... ICLR (International Conference on Learning Representations), 2021	38	2021
Band-limited Training and Inference for Convolutional Neural Networks A Dziedzic, I Paparizzos, S Krishnan, A Elmore, M Franklin ICML (International Conference on Machine Learning), 2019	37	2019
Data Transformation and Migration in Polystores A Dziedzic, A Elmore, M Stonebraker HPEC 2016, 2016	30	2016
Integrating Real-Time and Batch Processing in a Polystore J Meehan, S Zdonik, S Tian, Y Tian, N Tatbul, A Dziedzic, A Elmore HPEC 2016, 2016	28	2016
Deeplens: Towards a visual data management system S Krishnan, A Dziedzic, AJ Elmore CIDR (Conference on Innovative Data Systems Research), 2018	26	2018
Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios A Dziedzic, V Sathya, M Rochman, M Ghosh, S Krishnan IEEE Open Journal of Vehicular Technology, 2020	22	2020
Columnstore and B+ tree-Are Hybrid Physical Designs Important? A Dziedzic, J Wang, S Das, B Ding, VR Narasayya, M Syamala Proceedings of the 2018 International Conference on Management of Data …, 2018	18	2018
Preoperative paraspinal neck muscle characteristics predict early onset adjacent segment degeneration in anterior cervical fusion patients: A machine‐learning modeling analysis AYL Wong, G Harada, R Lee, SD Gandhi, A Dziedzic, A Espinoza‐Orias, ... Journal of Orthopaedic Research® 39 (8), 1732-1744, 2021	17	2021
DBMS Data Loading: An Analysis on Modern Hardware A Dziedzic, M Karpathiotakis, I Alagiannis, R Appuswamy, A Ailamaki ADMS 2016, 2016	15	2016
Increasing the Cost of Model Extraction with Calibrated Proof of Work A Dziedzic, MA Kaleem, YS Lu, N Papernot ICLR (International Conference on Learning Representations), 2022	10	2022
Version 0.1 of the bigdawg polystore system V Gadepally, K OBrien, A Dziedzic, A Elmore, J Kepner, S Madden, ... arXiv preprint arXiv:1707.00721, 2017	10	2017
BigDAWG version 0.1 V Gadepally, K O'Brien, A Dziedzic, A Elmore, J Kepner, S Madden, ... 2017 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2017	9	2017
Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT V Sathya, A Dziedzic, M Ghosh, S Krishnan International Conference on Computing, Networking and Communications (ICNC 2020), 2020	7	2020
On the Difficulty of Defending Self-Supervised Learning against Model Extraction A Dziedzic, N Dhawan, MA Kaleem, J Guan, N Papernot ICML (International Conference on Machine Learning), 2022	6	2022
Artificial intelligence in resource-constrained and shared environments S Krishnan, AJ Elmore, M Franklin, J Paparrizos, Z Shang, A Dziedzic, ... ACM SIGOPS Operating Systems Review 53 (1), 1-6, 2019	6	2019
BigDAWG: a Polystore for Diverse Interactive Applications A Dziedzic, J Duggan, AJ Elmore, V Gadepally, M Stonebraker IEEE Viz Data Systems for Interactive Analysis (DSIA), 2015	5	2015

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