Leveraging Sharing Communities to Achieve Federated Learning for Cybersecurity
Authors: Frank W. Bentrem, Michael A. Corsello, Joshua J. Palm | Published: 2021-04-23 | Updated: 2021-04-27
Collaborative Information Sharing for ML-Based Threat Detection
Authors: Talha Ongun, Simona Boboila, Alina Oprea, Tina Eliassi-Rad, Alastair Nottingham, Jason Hiser, Jack Davidson | Published: 2021-04-23
Encrypted Distributed Lasso for Sparse Data Predictive Control
Authors: Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas | Published: 2021-04-23
Random Noise Defense Against Query-Based Black-Box Attacks
Authors: Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu | Published: 2021-04-23 | Updated: 2021-10-30
Decentralized Federated Averaging
Authors: Tao Sun, Dongsheng Li, Bao Wang | Published: 2021-04-23
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Authors: Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh | Published: 2021-04-22
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions
Authors: Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li | Published: 2021-04-22
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Authors: Sijun Tan, Brian Knott, Yuan Tian, David J. Wu | Published: 2021-04-22
Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities
Authors: Julia Rosenzweig, Joachim Sicking, Sebastian Houben, Michael Mock, Maram Akila | Published: 2021-04-22
Robustness of ML-Enhanced IDS to Stealthy Adversaries
Authors: Vance Wong, John Emanuello | Published: 2021-04-21