Machine Unlearning of Features and Labels
Authors: Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck | Published: 2021-08-26 | Updated: 2023-08-07
Machine Learning Method
Mitigating Statistical Bias within Differentially Private Synthetic Data
Authors: Sahra Ghalebikesabi, Harrison Wilde, Jack Jewson, Arnaud Doucet, Sebastian Vollmer, Chris Holmes | Published: 2021-08-24 | Updated: 2022-05-19
Revisiting IoT Device Identification
Authors: Roman Kolcun, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Richard Mortier, Hamed Haddadi | Published: 2021-07-16
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning
Authors: Jiacheng Liang, Songze Li, Bochuan Cao, Wensi Jiang, Chaoyang He | Published: 2021-07-12 | Updated: 2021-11-15
Segmented Federated Learning for Adaptive Intrusion Detection System
Authors: Geet Shingi, Harsh Saglani, Preeti Jain | Published: 2021-07-02
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Authors: Zixiu Wang, Yiwen Guo, Hu Ding | Published: 2021-06-30 | Updated: 2022-01-21
Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network
Authors: Emrah Tufan, Cihangir Tezcan, Cengiz Acartürk | Published: 2021-03-31
Exploring Edge TPU for Network Intrusion Detection in IoT
Authors: Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann | Published: 2021-03-30
Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features
Authors: Dorel Yaffe, Danny Hendler | Published: 2021-03-30
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators
Authors: J. -P. Schulze, P. Sperl, K. Böttinger | Published: 2021-01-12 | Updated: 2024-01-14