Author: Valentina Del Rio / PLURIBUS
At the APWG.eu Tech Summit & Researchers Forum 2025, we explored a fresh perspective on bot detection!
Davy Preuveneers, Industrial Research Manager at KU Leuven, shared his latest work on:
“Enhancing Bot Detection With Causally and Temporally Constrained Counterfactual Examples for Targeted Retraining.”
His talk highlighted how integrating causal reasoning and temporal constraints into counterfactual examples can improve the effectiveness and adaptability of machine learning systems in cybersecurity.
Thanks to all who attended and contributed to the conversation around building smarter, more resilient defenses against automated threats. The future of threat detection is evolving, and we’re excited to be part of it.