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SOTERIA: In Search of Efficient Neural Networks for Private Inference

Jul 25, 2020
Anshul Aggarwal, Trevor E. Carlson, Reza Shokri, Shruti Tople


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Replication-Robust Payoff-Allocation with Applications in Machine Learning Marketplaces

Jun 25, 2020
Dongge Han, Shruti Tople, Alex Rogers, Michael Wooldridge, Olga Ohrimenko, Sebastian Tschiatschek


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Domain Generalization using Causal Matching

Jun 12, 2020
Divyat Mahajan, Shruti Tople, Amit Sharma

* Preprint. Under review 

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Dataset-Level Attribute Leakage in Collaborative Learning

Jun 12, 2020
Wanrong Zhang, Shruti Tople, Olga Ohrimenko


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FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

Apr 05, 2020
Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Eyal Kushilevitz, Prateek Mittal, Tal Rabin


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Analyzing Privacy Loss in Updates of Natural Language Models

Jan 14, 2020
Shruti Tople, Marc Brockschmidt, Boris Köpf, Olga Ohrimenko, Santiago Zanella-Béguelin


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To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers

Jan 08, 2020
Bijeeta Pal, Shruti Tople


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On the Intrinsic Privacy of Stochastic Gradient Descent

Dec 05, 2019
Stephanie L. Hyland, Shruti Tople

* 15 pages, 9 figures 

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Collaborative Machine Learning Markets with Data-Replication-Robust Payments

Nov 08, 2019
Olga Ohrimenko, Shruti Tople, Sebastian Tschiatschek


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Alleviating Privacy Attacks via Causal Learning

Sep 27, 2019
Shruti Tople, Amit Sharma, Aditya Nori


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Privado: Practical and Secure DNN Inference

Oct 01, 2018
Shruti Tople, Karan Grover, Shweta Shinde, Ranjita Bhagwan, Ramachandran Ramjee

* 13 pages, 5 figures 

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