Adam Dziedzic
Adam Dziedzic
SrpintML group at CISPA, Vector Institute & University of Toronto
Verified email at - Homepage
Cited by
Cited by
Pretrained transformers improve out-of-distribution robustness
D Hendrycks, X Liu, E Wallace, A Dziedzic, R Krishnan, D Song
ACL 2020, 2020
Testing robustness against unforeseen adversaries
D Kang, Y Sun, D Hendrycks, T Brown, J Steinhardt
When the curious abandon honesty: Federated learning is not private
F Boenisch, A Dziedzic, R Schuster, AS Shamsabadi, I Shumailov, ...
Euro S&P 2023, 2021
Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis.
T Mattson, V Gadepally, Z She, A Dziedzic, J Parkhurst
CIDR, 2017
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
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
September 2017. BigDAWG Version 0.1
V Gadepally, K O'Brien, A Dziedzic, A Elmore, J Kepner, S Madden, ...
IEEE High Performance Extreme, 0
Data Transformation and Migration in Polystores
A Dziedzic, A Elmore, M Stonebraker
HPEC 2016, 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
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
Deeplens: Towards a visual data management system
S Krishnan, A Dziedzic, AJ Elmore
CIDR (Conference on Innovative Data Systems Research), 2018
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
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models
H Duan, A Dziedzic, N Papernot, F Boenisch
NeurIPS (Neural Information Processing Systems), 2023
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
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
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
DBMS Data Loading: An Analysis on Modern Hardware
A Dziedzic, M Karpathiotakis, I Alagiannis, R Appuswamy, A Ailamaki
ADMS 2016, 2016
Selective classification via neural network training dynamics
S Rabanser, A Thudi, K Hamidieh, A Dziedzic, N Papernot
arXiv preprint arXiv:2205.13532, 2022
Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees
F Boenisch, C Mühl, R Rinberg, J Ihrig, A Dziedzic
PETs 2023, 2022
Dataset Inference for Self-Supervised Models
A Dziedzic, H Duan, MA Kaleem, N Dhawan, J Guan, Y Cattan, ...
NeurIPS (Neural Information Processing Systems), 2022
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