101 citations · 197 across the 14 of their papers we have counts for
15 papers
Broad and Efficient PII Detection with Unified Labels
Andy Hsu, Konstantin Berlin
Personally Identifiable Information (PII) detection models must efficiently find identifiers across diverse contexts while maintaining a low false-positive rate (FPR) on high-volum…
Full-range Binary Classifier Calibration for Stable Model Updates in Production
Konstantin Berlin
Detection models running in adversarial environments face a malicious distribution that drifts rapidly while the benign distribution stays comparatively stable, so teams retrain an…
Improving Labeling Consistency with Detailed Constitutional Definitions and AI-Driven Evaluation
Konstantin Berlin, Adam Swanda
Many automated labeling pipelines classify inputs into categories defined by a written specification, content moderation being a prominent use case. Simple category definitions are…
A Framework for Rapidly Developing and Deploying Protection Against Large Language Model Attacks
Adam Swanda, Amy Chang, Alexander Chen +3
The widespread adoption of Large Language Models (LLMs) has revolutionized AI deployment, enabling autonomous and semi-autonomous applications across industries through intuitive l…
Web Content Filtering through knowledge distillation of Large Language Models
Tamás Vörös, Sean Paul Bergeron, Konstantin Berlin
We introduce a state-of-the-art approach for URL categorization that leverages the power of Large Language Models (LLMs) to address the primary objectives of web content filtering:…
That Escalated Quickly: An ML Framework for Alert Prioritization
Ben Gelman, Salma Taoufiq, Tamás Vörös +1
In place of in-house solutions, organizations are increasingly moving towards managed services for cyber defense. Security Operations Centers are specialized cybersecurity units re…