USENIX NSDI ’24 – Finding Adversarial Inputs for Heuristics using Multi-level Optimization

Authors/Presenters:Pooria Namyar, Microsoft and University of Southern California; Behnaz Arzani and Ryan Beckett, Microsoft; Santiago Segarra, Microsoft and Rice University; Himanshu Raj and Umesh Krishnaswamy, Microsoft; Ramesh Govindan, University of Southern California; Srikanth Kandula, Microsoft

Our sincere thanks to USENIX, and the Presenters & Authors for publishing their superb 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI ’24) content, placing the organizations enduring commitment to Open Access front and center. Originating from the conference’s events situated at the Hyatt Regency Santa Clara; and via the organizations YouTube channel.

*** This is a Security Bloggers Network syndicated blog from Infosecurity.US authored by Marc Handelman. Read the original post at: https://www.infosecurity.us/blog/2024/10/16/usenix-nsdi-24-finding-adversarial-inputs-for-heuristics-using-multi-level-optimization