Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Kimberly Milner
Observed name:
Milner, Kimberly
Institution:
New York University
Observed institution:
New York University
OpenAlex ID:
A5099097255
EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities
2024
·
Abramovich, Talor
, Udeshi, Meet
, et al.
·
arXiv (Cornell University)
·
67
PDF
D-CIPHER: Dynamic Collaborative Intelligent Multi-Agent System with Planner and Heterogeneous Executors for Offensive Security
2025
·
Udeshi, Meet
, Shao, Minghao
, et al.
·
arXiv (Cornell University)
·
26
PDF
Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark
2026
·
Minghao Shao
, Nanda Rani
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
12
How Do LLM Agents Actually Get the Flag? Trace-Level Provenance for Agentic Offensive Security Evaluation
2026
·
Milner, Kimberly
, Shao, Minghao
, et al.
·
arXiv (Cornell University)
·
4
PDF
CTFExplorer: Evaluating LLM Offensive Agents Through Multi-Target Web CTF Benchmarking
2026
·
Rani, Nanda
, Milner, Kimberly
, et al.
·
arXiv (Cornell University)
·
4
PDF
AI In Cybersecurity Education -- Scalable Agentic CTF Design Principles and Educational Outcomes
2026
·
Xi, Haoran
, Shao, Minghao
, et al.
·
arXiv (Cornell University)
·
1
PDF
460 - Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark
2026
·
Association for Artificial Intelligence 2026
, Aggarwal, Saksham
, et al.
·
Underline Science Inc.
Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark
2026
·
Association for Artificial Intelligence 2026
, Aggarwal, Saksham
, et al.
·
Underline Science Inc.
Show more works
View as search
Works count:
10
Citation count:
228
H-index:
5
I10-index:
5
Year
Topic
Type