activity
20222025
most citedDo Users Write More Insecure Code with AI Assistants?

219 citations · 224 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2025

Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing

Justin W. Lin, Eliot Krzysztof Jones, Donovan Julian Jasper +10

We present the first comprehensive evaluation of AI agents against human cybersecurity professionals in a live enterprise environment. We evaluate ten cybersecurity professionals a…

cs.CR2025

Cryptographic Data Exchange for Nuclear Warheads

Neil Perry, Daniil Zhukov

Nuclear arms control treaties have historically focused on strategic nuclear delivery systems, indirectly restricting strategic nuclear warhead numbers and leaving nonstrategic nuc…

cs.CR2025

Robust Steganography from Large Language Models

Neil Perry, Sanket Gupte, Nishant Pitta +1

Recent steganographic schemes, starting with Meteor (CCS'21), rely on leveraging large language models (LLMs) to resolve a historically-challenging task of disguising covert commun…

cs.CR2024★ 1 cited

Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models

Andy K. Zhang, Neil Perry, Riya Dulepet +24

Language Model (LM) agents for cybersecurity that are capable of autonomously identifying vulnerabilities and executing exploits have potential to cause real-world impact. Policyma…

cs.CR2022★ 219 cited

Do Users Write More Insecure Code with AI Assistants?

Neil Perry, Megha Srivastava, Deepak Kumar +1

We conduct the first large-scale user study examining how users interact with an AI Code assistant to solve a variety of security related tasks across different programming languag…

cs.CR2022★ 4 cited

Strong Anonymity for Mesh Messaging

Neil Perry, Bruce Spang, Saba Eskandarian +1

Messaging systems built on mesh networks consisting of smartphones communicating over Bluetooth have been used by protesters around the world after governments have disrupted Inter…