Meet Udeshi

Orcid: 0000-0001-7297-0880

According to our database1, Meet Udeshi authored at least 17 papers between 2021 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Safeguarding LLMs Against Misuse and AI-Driven Malware Using Steganographic Canaries.
CoRR, March, 2026

AI In Cybersecurity Education - Scalable Agentic CTF Design Principles and Educational Outcomes.
CoRR, March, 2026

CyberExplorer: Benchmarking LLM Offensive Security Capabilities in a Real-World Attacking Simulation Environment.
CoRR, February, 2026

Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Binary Diff Summarization using Large Language Models.
CoRR, September, 2025

Ransomware 3.0: Self-Composing and LLM-Orchestrated.
CoRR, August, 2025

SaMOSA: Sandbox for Malware Orchestration and Side-Channel Analysis.
CoRR, August, 2025

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution.
CoRR, May, 2025

Tamper-Proof Network Traffic Measurements on a NIC for Intrusion Detection.
IEEE Trans. Netw. Serv. Manag., April, 2025

D-CIPHER: Dynamic Collaborative Intelligent Agents with Planning and Heterogeneous Execution for Enhanced Reasoning in Offensive Security.
CoRR, February, 2025

EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
REMaQE: Reverse Engineering Math Equations from Executables.
ACM Trans. Cyber Phys. Syst., October, 2024


EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges.
CoRR, 2024

NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security.
CoRR, 2024

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2021
Fine-Grained Scheduling in Heterogeneous-ISA Architectures.
IEEE Comput. Archit. Lett., 2021


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