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


May 16, 2022
Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem, Jonas Guan, Nicolas Papernot

* Accepted at ICML 2022 

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Increasing the Cost of Model Extraction with Calibrated Proof of Work


Jan 23, 2022
Adam Dziedzic, Muhammad Ahmad Kaleem, Yu Shen Lu, Nicolas Papernot

* Published as a conference paper at ICLR 2022 

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When the Curious Abandon Honesty: Federated Learning Is Not Private


Dec 06, 2021
Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot


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


Aug 03, 2021
Adelin Travers, Lorna Licollari, Guanghan Wang, Varun Chandrasekaran, Adam Dziedzic, David Lie, Nicolas Papernot


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CaPC Learning: Confidential and Private Collaborative Learning


Feb 09, 2021
Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang

* Published as a conference paper at ICLR 2021 

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Pretrained Transformers Improve Out-of-Distribution Robustness


Apr 16, 2020
Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan, Dawn Song

* ACL 2020 

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Machine Learning enabled Spectrum Sharing in Dense LTE-U/Wi-Fi Coexistence Scenarios


Mar 18, 2020
Adam Dziedzic, Vanlin Sathya, Muhammad Iqbal Rochman, Monisha Ghosh, Sanjay Krishnan

* Accepted at IEEE Open Journal of Vehicular Technology. arXiv admin note: substantial text overlap with arXiv:1911.09292 

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An Empirical Evaluation of Perturbation-based Defenses


Feb 08, 2020
Adam Dziedzic, Sanjay Krishnan


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Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT


Nov 21, 2019
Vanlin Sathya, Adam Dziedzic, Monisha Ghosh, Sanjay Krishnan

* Published at International Conference on Computing, Networking and Communications (ICNC 2020) 

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Band-limited Training and Inference for Convolutional Neural Networks


Nov 21, 2019
Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron Elmore, Michael Franklin

* Published at International Conference on Machine Learning (ICML) 

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