A Framework for Evaluating Gradient Leakage Attacks in Federated Learning
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2020-04-22 | Updated: 2020-04-23
Probabilistic Safety for Bayesian Neural Networks
Authors: Matthew Wicker, Luca Laurenti, Andrea Patane, Marta Kwiatkowska | Published: 2020-04-21 | Updated: 2020-06-19
Certifying Joint Adversarial Robustness for Model Ensembles
Authors: Mainuddin Ahmad Jonas, David Evans | Published: 2020-04-21
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
Authors: Sanchari Sen, Balaraman Ravindran, Anand Raghunathan | Published: 2020-04-21
PhishOut: Effective Phishing Detection Using Selected Features
Authors: Suhail Paliath, Mohammad Abu Qbeitah, Monther Aldwairi | Published: 2020-04-21
Scalable and Secure Architecture for Distributed IoT Systems
Authors: Najmeddine Dhieb, Hakim Ghazzai, Hichem Besbes, Yehia Massoud | Published: 2020-04-20
Headless Horseman: Adversarial Attacks on Transfer Learning Models
Authors: Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu | Published: 2020-04-20
Local Differential Privacy based Federated Learning for Internet of Things
Authors: Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam | Published: 2020-04-19 | Updated: 2020-12-22
Data Poisoning Attacks on Federated Machine Learning
Authors: Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu | Published: 2020-04-19
Protecting Classifiers From Attacks. A Bayesian Approach
Authors: Victor Gallego, Roi Naveiro, Alberto Redondo, David Rios Insua, Fabrizio Ruggeri | Published: 2020-04-18