Boyuan Chen

According to our database, Boyuan Chen authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs.

Parteek Jamwal, Minghao Shao, Boyuan Chen, Achyuta Muthuvelan, Asini Subanya, Boubacar Ballo, Kashish Satija, Mariam Shafey, Mohamed Mahmoud, Moncif Dahaji Bouffi, Pasindu Wickramasinghe, Siyona Goel, Yaakulya Sabbani, Hakim Hacid, Mthandazo Ndhlovu, Eleanna Kafeza, Sanjay Rawat, Muhammad Shafique

CoRR, April, 2026

GroundCount: Grounding Vision-Language Models with Object Detection for Mitigating Counting Hallucinations.

Boyuan Chen, Minghao Shao, Siddharth Garg, Ramesh Karri, Muhammad Shafique

CoRR, March, 2026

MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs.

Boyuan Chen, Minghao Shao, Abdul Basit, Siddharth Garg, Muhammad Shafique

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MetaCipher: A General and Extensible Reinforcement Learning Framework for Obfuscation-Based Jailbreak Attacks on Black-Box LLMs.

Boyuan Chen, Minghao Shao, Abdul Basit, Siddharth Garg, Muhammad Shafique

CoRR, June, 2025

Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing.

Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings.

Aya El Mir, Lukelo Thadei Luoga, Boyuan Chen, Muhammad Abdullah Hanif, Muhammad Shafique

CoRR, 2024

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

Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique

CoRR, 2024

Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation.

Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg

CoRR, 2024

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges.

Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique

CoRR, 2024

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

Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Advancing Healthcare in Low-Resource Environments Through an Optimization and Deployment Framework for Medical Multimodal Large Language Models.

Aya El Mir, Lukelo Thadei Luoga, Boyuan Chen, Muhammad Abdullah Hanif, Muhammad Shafique

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023

Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective.

Haoran Zhu, Boyuan Chen, Carter Yang

CoRR, 2023

2022

Force-Aware Interface via Electromyography for Natural VR/AR Interaction.

Yunxiang Zhang, Benjamin Liang, Boyuan Chen, Paul M. Torrens, Seyed Farokh Atashzar, Dahua Lin, Qi Sun

ACM Trans. Graph., 2022