Federated Boosted Decision Trees with Differential Privacy
Authors: Samuel Maddock, Graham Cormode, Tianhao Wang, Carsten Maple, Somesh Jha | Published: 2022-10-06
Deep Reinforcement Learning based Evasion Generative Adversarial Network for Botnet Detection
Authors: Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Muhammad Khalid, Husnain Rafiq | Published: 2022-10-06
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Authors: Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang | Published: 2022-10-06
A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition
Authors: Luke Rowe, Benjamin Thérien, Krzysztof Czarnecki, Hongyang Zhang | Published: 2022-10-05
Common Vulnerability Scoring System Prediction based on Open Source Intelligence Information Sources
Authors: Philipp Kuehn, David N. Relke, Christian Reuter | Published: 2022-10-05
Bicoptor: Two-round Secure Three-party Non-linear Computation without Preprocessing for Privacy-preserving Machine Learning
Authors: Lijing Zhou, Ziyu Wang, Hongrui Cui, Qingrui Song, Yu Yu | Published: 2022-10-05 | Updated: 2024-04-19
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models
Authors: Fan Liu, Hao Liu, Wenzhao Jiang | Published: 2022-10-05
Split Federated Learning on Micro-controllers: A Keyword Spotting Showcase
Authors: Jingtao Li, Runcong Kuang | Published: 2022-10-04
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Authors: Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra | Published: 2022-10-04
Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints
Authors: Virat Shejwalkar, Arun Ganesh, Rajiv Mathews, Yarong Mu, Shuang Song, Om Thakkar, Abhradeep Thakurta, Xinyi Zheng | Published: 2022-10-04 | Updated: 2024-09-17