| Understanding why vit trains badly on small datasets: An intuitive perspective H Zhu, B Chen, C Yang arXiv preprint arXiv:2302.03751, 2023 | 67 | 2023 |
| An empirical evaluation of llms for solving offensive security challenges M Shao, B Chen, S Jancheska, B Dolan-Gavitt, S Garg, R Karri, ... arXiv preprint arXiv:2402.11814, 2024 | 65 | 2024 |
| Force-aware interface via electromyography for natural VR/AR interaction Y Zhang, B Liang, B Chen, PM Torrens, SF Atashzar, D Lin, Q Sun ACM Transactions on Graphics (TOG) 41 (6), 1-18, 2022 | 50 | 2022 |
| Nyu ctf bench: A scalable open-source benchmark dataset for evaluating llms in offensive security M Shao, S Jancheska, M Udeshi, B Dolan-Gavitt, K Milner, B Chen, M Yin, ... Advances in Neural Information Processing Systems 37, 57472-57498, 2024 | 28 | 2024 |
| Model cascading for code: Reducing inference costs with model cascading for llm based code generation B Chen, M Zhu, B Dolan-Gavitt, M Shafique, S Garg arXiv e-prints, arXiv: 2405.15842, 2024 | 9 | 2024 |
| Democratizing mllms in healthcare: Tinyllava-med for efficient healthcare diagnostics in resource-constrained settings A El Mir, LT Luoga, B Chen, MA Hanif, M Shafique 2024 IEEE International Conference on Image Processing Challenges and …, 2024 | 6 | 2024 |
| Advancing Healthcare in Low-Resource Environments Through an Optimization and Deployment Framework for Medical Multimodal Large Language Models A El Mir, LT Luoga, B Chen, MA Hanif, M Shafique 2024 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2024 | 4 | 2024 |
| Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing B Chen, M Zhu, B Dolan-Gavitt, M Shafique, S Garg arXiv preprint arXiv:2405.15842, 2024 | 1 | 2024 |
| MetaCipher: A General and Extensible Reinforcement Learning Framework for Obfuscation-Based Jailbreak Attacks on Black-Box LLMs B Chen, M Shao, A Basit, S Garg, M Shafique arXiv preprint arXiv:2506.22557, 2025 | | 2025 |
