Adam Dziedzic

发表

Increasing the Cost of Model Extraction with Calibrated Proof of Work

Nicolas Papernot, Adam Dziedzic, Muhammad Ahmad Kaleem, 2022, ArXiv.

Preoperative paraspinal neck muscle characteristics predict early onset adjacent segment degeneration in anterior cervical fusion patients: A machine‐learning modeling analysis

M. Parnianpour, H. An, D. Samartzis, 2020, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

On the Difficulty of Defending Self-Supervised Learning against Model Extraction

Nicolas Papernot, Adam Dziedzic, Muhammad Ahmad Kaleem, 2022, ICML.

Cecropins in cancer therapies-where we have been?

Adam Dziedzic, Maksymilian Ziaja, Kacper Szafraniec, 2020, European journal of pharmacology.

Dataset Inference for Self-Supervised Models

Nicolas Papernot, Adam Dziedzic, Muhammad Ahmad Kaleem, 2022, arXiv.org.

Increasing the Cost of Model Extraction with Calibrated Proof of Work

Nicolas Papernot, Adam Dziedzic, Muhammad Ahmad Kaleem, 2022, ICLR.

Dataset Inference for Self-Supervised Models

Nicolas Papernot, Adam Dziedzic, Muhammad Ahmad Kaleem, 2022, arXiv.org.

Pretrained Transformers Improve Out-of-Distribution Robustness pdf

Dawn Song, Eric Wallace, Dan Hendrycks, 2020, ACL.

On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples pdf

David Lie, Nicolas Papernot, Varun Chandrasekaran, 2021, ArXiv.

Increasing the Cost of Model Extraction with Calibrated Proof of Work

Nicolas Papernot, Adam Dziedzic, Muhammad Ahmad Kaleem, 2022, ICLR.

Analysis and comparison of NoSQL databases with an introduction to consistent references in big data storage systems

Jan Mulawka, Adam Dziedzic, J. Mulawka, 2014, Other Conferences.

BigDAWG version 0.1

Michael Stonebraker, Jennie Duggan, Jeremy Kepner, 2017, 2017 IEEE High Performance Extreme Computing Conference (HPEC).

Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis

Vijay Gadepally, Timothy G. Mattson, Jeff Parkhurst, 2017, CIDR.

Integrating real-time and batch processing in a polystore

Stanley B. Zdonik, Aaron J. Elmore, Nesime Tatbul, 2016, 2016 IEEE High Performance Extreme Computing Conference (HPEC).

Private Multi-Winner Voting for Machine Learning

Christopher A. Choquette-Choo, Nicolas Papernot, V. Suriyakumar, 2022, Proc. Priv. Enhancing Technol..

CaPC Learning: Confidential and Private Collaborative Learning pdf

Somesh Jha, Nicolas Papernot, Adam Dziedzic, 2021, ICLR.

When the Curious Abandon Honesty: Federated Learning Is Not Private

Nicolas Papernot, Ilia Shumailov, Adam Dziedzic, 2021, 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P).

Is Federated Learning a Practical PET Yet?

Nicolas Papernot, Ilia Shumailov, Adam Dziedzic, 2023, ArXiv.

Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation

Nicolas Papernot, Ilia Shumailov, Adam Dziedzic, 2023, 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P).

p-DkNN: Out-of-Distribution Detection Through Statistical Testing of Deep Representations

Murat A. Erdogdu, Nicolas Papernot, Adam Dziedzic, 2022, ArXiv.

Band-limited Training and Inference for Convolutional Neural Networks

Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin, 2019, ICML.

Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models

Nicolas Papernot, Adam Dziedzic, Franziska Boenisch, 2023, NeurIPS.

Have it your way: Individualized Privacy Assignment for DP-SGD

Nicolas Papernot, Adam Dziedzic, Franziska Boenisch, 2023, NeurIPS.

Version 0.1 of the BigDAWG Polystore System

Aaron J. Elmore, S. Madden, M. Stonebraker, 2017, ArXiv.

Data transformation and migration in polystores

Michael Stonebraker, Aaron J. Elmore, Adam Dziedzic, 2016, 2016 IEEE High Performance Extreme Computing Conference (HPEC).

DBMS Data Loading: An Analysis on Modern Hardware

Anastasia Ailamaki, Ioannis Alagiannis, Raja Appuswamy, 2016, ADMS/IMDM@VLDB.

Artificial Intelligence in Resource-Constrained and Shared Environments

Rui Liu, Sanjay Krishnan, Aaron J. Elmore, 2019, ACM SIGOPS Oper. Syst. Rev..

Selective Classification Via Neural Network Training Dynamics

Nicolas Papernot, Adam Dziedzic, Kimia Hamidieh, 2022, arXiv.org.

Testing Robustness Against Unforeseen Adversaries

Daniel Kang, J. Steinhardt, Xuwang Yin, 2019, 1908.08016.

Dataset Inference for Self-Supervised Models

Nicolas Papernot, Adam Dziedzic, Muhammad Ahmad Kaleem, 2022, NeurIPS.

Columnstore and B+ tree - Are Hybrid Physical Designs Important?

Bolin Ding, Sudipto Das, Jingjing Wang, 2018, SIGMOD Conference.