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Lower Bounds on Adversarial Robustness from Optimal Transport

Oct 30, 2019
Arjun Nitin Bhagoji, Daniel Cullina, Prateek Mittal

* Accepted for the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019); 18 pages, 5 figures 

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Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples

May 05, 2019
Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song, Chawin Sitawarin, Daniel Cullina, Mung Chiang, Prateek Mittal

* 18 pages, 5 figures, 9 tables 

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Database Alignment with Gaussian Features

Mar 04, 2019
Osman Emre Dai, Daniel Cullina, Negar Kiyavash


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Partial Recovery of Erdős-Rényi Graph Alignment via $k$-Core Alignment

Nov 03, 2018
Daniel Cullina, Negar Kiyavash, Prateek Mittal, H. Vincent Poor


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PAC-learning in the presence of evasion adversaries

Jun 06, 2018
Daniel Cullina, Arjun Nitin Bhagoji, Prateek Mittal

* 14 pages, 2 figures (minor changes to biblatex output) 

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Exact alignment recovery for correlated Erdős-Rényi graphs

May 14, 2018
Daniel Cullina, Negar Kiyavash

* 12 pages. arXiv admin note: text overlap with arXiv:1602.01042 

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On the Performance of a Canonical Labeling for Matching Correlated Erdős-Rényi Graphs

Apr 25, 2018
Osman Emre Dai, Daniel Cullina, Negar Kiyavash, Matthias Grossglauser


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Enhancing Robustness of Machine Learning Systems via Data Transformations

Nov 29, 2017
Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin, Prateek Mittal

* 15 pages 

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On the Simultaneous Preservation of Privacy and Community Structure in Anonymized Networks

Mar 25, 2016
Daniel Cullina, Kushagra Singhal, Negar Kiyavash, Prateek Mittal

* 10 pages 

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Improved Achievability and Converse Bounds for Erdős-Rényi Graph Matching

Feb 02, 2016
Daniel Cullina, Negar Kiyavash

* 10 pages 

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