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
On the (Un)Reliability of Privacy Policies in Android Apps
Authors: Luca Verderame, Davide Caputo, Andrea Romdhana, Alessio Merlo | Published: 2020-04-18
Learning the Associations of MITRE ATT&CK Adversarial Techniques
Authors: Rawan Al-Shaer, Jonathan M. Spring, Eliana Christou | Published: 2020-04-16 | Updated: 2020-05-12
Hybrid Blockchain-Enabled Secure Microservices Fabric for Decentralized Multi-Domain Avionics Systems
Authors: Ronghua Xu, Yu Chen, Erik Blasch, Alexander Aved, Genshe Chen, Dan Shen | Published: 2020-04-16
Feature Selection and Intrusion Detection in Cloud Environment based on Machine Learning Algorithms
Authors: Amir Javadpour, Sanaz Kazemi Abharian, Guojun Wang | Published: 2020-04-15
Advanced Evasion Attacks and Mitigations on Practical ML-Based Phishing Website Classifiers
Authors: Yusi Lei, Sen Chen, Lingling Fan, Fu Song, Yang Liu | Published: 2020-04-15
Poisoning Attacks on Algorithmic Fairness
Authors: David Solans, Battista Biggio, Carlos Castillo | Published: 2020-04-15 | Updated: 2020-06-26