WAFFLE: Watermarking in Federated Learning
Authors: Buse Gul Atli, Yuxi Xia, Samuel Marchal, N. Asokan | Published: 2020-08-17 | Updated: 2021-07-22
Machine Learning Application
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
Authors: MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif, Abdallah Shami | Published: 2020-08-09
From Predictions to Decisions: Using Lookahead Regularization
Authors: Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes | Published: 2020-06-20 | Updated: 2020-06-23
Robust Variational Autoencoder for Tabular Data with Beta Divergence
Authors: Haleh Akrami, Sergul Aydore, Richard M. Leahy, Anand A. Joshi | Published: 2020-06-15 | Updated: 2020-06-16
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Authors: Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt | Published: 2020-05-14 | Updated: 2020-09-01
Data Augmentation for Deep Candlestick Learner
Authors: Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai | Published: 2020-05-14 | Updated: 2020-05-29
Botnet Detection Using Recurrent Variational Autoencoder
Authors: Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu | Published: 2020-04-01
Differentially Private Naive Bayes Classifier using Smooth Sensitivity
Authors: Farzad Zafarani, Chris Clifton | Published: 2020-03-31 | Updated: 2021-07-19
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
Authors: Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan | Published: 2020-02-13 | Updated: 2020-07-25
Explainable Deep Convolutional Candlestick Learner
Authors: Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai, Chih-Shiang Shur | Published: 2020-01-08 | Updated: 2020-05-29