SIGL: Securing Software Installations Through Deep Graph Learning

26 August 2020

Papers citing "SIGL: Securing Software Installations Through Deep Graph Learning"

3 / 3 papers shown

Title
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning Maya Kapoor Joshua Melton Michael Ridenhour Mahalavanya Sriram Thomas Moyer S. Krishnan 20 0 0 05 Mar 2022
Secure Namespaced Kernel Audit for Containers S. Lim Bogdan Stelea Xueyuan Han Thomas Pasquier 17 17 0 03 Nov 2021