Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries
Authors: Pierre Dellenbach, Aurélien Bellet, Jan Ramon | Published: 2018-03-27
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Bypassing Feature Squeezing by Increasing Adversary Strength
Authors: Yash Sharma, Pin-Yu Chen | Published: 2018-03-27
Resilient Active Information Gathering with Mobile Robots
Authors: Brent Schlotfeldt, Vasileios Tzoumas, Dinesh Thakur, George J. Pappas | Published: 2018-03-26 | Updated: 2018-09-02
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples
Authors: Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu | Published: 2018-03-26
Clipping free attacks against artificial neural networks
Authors: Boussad Addad, Jerome Kodjabachian, Christophe Meyer | Published: 2018-03-26 | Updated: 2018-03-28
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks
Authors: Tegjyot Singh Sethi, Mehmed Kantardzic, Joung Woo Ryu | Published: 2018-03-24
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning
Authors: Tegjyot Singh Sethi, Mehmed Kantardzic, Lingyu Lyua, Jiashun Chen | Published: 2018-03-24
Datasheets for Datasets
Authors: Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford | Published: 2018-03-23 | Updated: 2021-12-01
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
Authors: Daniel Jakubovitz, Raja Giryes | Published: 2018-03-23 | Updated: 2019-05-28
Robust Blind Deconvolution via Mirror Descent
Authors: Sathya N. Ravi, Ronak Mehta, Vikas Singh | Published: 2018-03-21