Adversarial Training for Deep Learning-based Intrusion Detection Systems
Authors: Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees | Published: 2021-04-20
Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
Authors: Simon Mandlik, Tomas Pevny | Published: 2021-04-19 | Updated: 2022-06-08
Vectorized Secure Evaluation of Decision Forests
Authors: Raghav Malik, Vidush Singhal, Benjamin Gottfried, Milind Kulkarni | Published: 2021-04-19
Secure Human Action Recognition by Encrypted Neural Network Inference
Authors: Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, Shayan Shams | Published: 2021-04-19 | Updated: 2022-08-09
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Authors: Yue Gao, Ilia Shumailov, Kassem Fawaz | Published: 2021-04-18 | Updated: 2022-06-19
Ponzi Scheme Detection in EthereumTransaction Network
Authors: Shanqing Yu, Jie Jin, Yunyi Xie, Jie Shen, Qi Xuan | Published: 2021-04-17
Orthogonalizing Convolutional Layers with the Cayley Transform
Authors: Asher Trockman, J. Zico Kolter | Published: 2021-04-14
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
Authors: Jing Ma, Si-Ahmed Naas, Stephan Sigg, Xixiang Lyu | Published: 2021-04-14
Defending Against Adversarial Denial-of-Service Data Poisoning Attacks
Authors: Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger | Published: 2021-04-14 | Updated: 2021-11-30
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning
Authors: Heng Zhu, Qing Ling | Published: 2021-04-14 | Updated: 2022-04-11