IEEE

ModSec-AdvLearn: Countering Adversarial SQL Injections With Robust Machine Learning

Abstract: Many Web Application Firewalls (WAFs) leverage the OWASP Core Rule Set (CRS) to block incoming malicious requests. The CRS consists of different sets of rules designed by domain experts to ...
IEEE

AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks

Abstract: With the ongoing integration of machine learning models into critical infrastructure, the resilience of these systems against adversarial attacks is important for all domains. This paper ...
GitHub

CertTA: Certified Robustness Made Practical

This repository contains the artifacts of paper CertTA: Certified Robustness Made Practical for Learning-Based Traffic Analysis, which has been accepeted by USENIX Security 2025. A Zenodo repository ...
EurekAlert!

Deep learning meets plant physics to improve non-destructive nitrogen monitoring in crops

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.