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Roman Lutz

Microsoft

4 papers hereh-index 9771 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL1
  • cs.CR1
affiliations
  • Microsoft
Homepage

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.AI2025

Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness

Erfan Shayegani, Keegan Hines, Yue Dong +6

Computer-Use Agents (CUAs) are an increasingly deployed class of agents that take actions on GUIs to accomplish user goals. In this paper, we show that CUAs consistently exhibit Bl…

cs.AI2025

Lessons From Red Teaming 100 Generative AI Products

Blake Bullwinkel, Amanda Minnich, Shiven Chawla +23

In recent years, AI red teaming has emerged as a practice for probing the safety and security of generative AI systems. Due to the nascency of the field, there are many open questi…

cs.CR2024

PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System

Gary D. Lopez Munoz, Amanda J. Minnich, Roman Lutz +17

Generative Artificial Intelligence (GenAI) is becoming ubiquitous in our daily lives. The increase in computational power and data availability has led to a proliferation of both s…

cs.CL2024

Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" Cycle

Emman Haider, Daniel Perez-Becker, Thomas Portet +28

Recent innovations in language model training have demonstrated that it is possible to create highly performant models that are small enough to run on a smartphone. As these models…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.