activity
20242026
most citedThe AI Agent Index

6 citations · 7 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Internal Deployment Gaps in AI Regulation

Joe Kwon, Stephen Casper

Frontier AI regulations primarily focus on systems deployed to external users, where deployment is more visible and subject to outside scrutiny. However, high-stakes applications c…

cs.CR2026

TamperBench: Systematically Stress-Testing LLM Safety Under Fine-Tuning and Tampering

Saad Hossain, Tom Tseng, Punya Syon Pandey +8

As increasingly capable open-weight large language models (LLMs) are deployed, improving their tamper resistance against unsafe modifications, whether accidental or intentional, be…

cs.SE2025★ 6 cited

The AI Agent Index

Stephen Casper, Luke Bailey, Rosco Hunter +12

Leading AI developers and startups are increasingly deploying agentic AI systems that can plan and execute complex tasks with limited human involvement. However, there is currently…

cs.AI2025

Practical Principles for AI Cost and Compute Accounting

Stephen Casper, Luke Bailey, Tim Schreier

Policymakers increasingly use development cost and compute as proxies for AI capabilities and risks. Recent laws have introduced regulatory requirements for models or developers th…

cs.LG2024

Obfuscated Activations Bypass LLM Latent-Space Defenses

Luke Bailey, Alex Serrano, Abhay Sheshadri +7

Recent latent-space monitoring techniques have shown promise as defenses against LLM attacks. These defenses act as scanners that seek to detect harmful activations before they lea…

cs.CR2024

What Features in Prompts Jailbreak LLMs? Investigating the Mechanisms Behind Attacks

Nathalie Kirch, Constantin Weisser, Severin Field +2

Jailbreaks have been a central focus of research regarding the safety and reliability of large language models (LLMs), yet the mechanisms underlying these attacks remain poorly und…

cs.AI2024★ 1 cited

Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience

Zhonghao He, Jascha Achterberg, Katie Collins +13

As deep learning systems are scaled up to many billions of parameters, relating their internal structure to external behaviors becomes very challenging. Although daunting, this pro…