Privacy Preserving Location Data Publishing: A Machine Learning Approach
Authors: Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li | Published: 2019-02-24 | Updated: 2019-11-05
Evaluating Differentially Private Machine Learning in Practice
Authors: Bargav Jayaraman, David Evans | Published: 2019-02-24 | Updated: 2019-08-12
Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data
Authors: Zhongyi Hu, Raymond Chiong, Ilung Pranata, Willy Susilo, Yukun Bao | Published: 2019-02-23
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Authors: Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang | Published: 2019-02-23 | Updated: 2020-01-10
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
Authors: Ziqi Yang, Ee-Chien Chang, Zhenkai Liang | Published: 2019-02-22
A Graph-Based Machine Learning Approach for Bot Detection
Authors: Abbas Abou Daya, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba | Published: 2019-02-22
Adversarial Attacks on Graph Neural Networks via Meta Learning
Authors: Daniel Zügner, Stephan Günnemann | Published: 2019-02-22 | Updated: 2024-01-28
Quantifying Perceptual Distortion of Adversarial Examples
Authors: Matt Jordan, Naren Manoj, Surbhi Goel, Alexandros G. Dimakis | Published: 2019-02-21
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Authors: Eric Wong, Frank R. Schmidt, J. Zico Kolter | Published: 2019-02-21 | Updated: 2020-01-18
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch
Authors: Gavin Weiguang Ding, Luyu Wang, Xiaomeng Jin | Published: 2019-02-20