Benjamin Bowman

According to our database, Benjamin Bowman authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory.

Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto

CoRR, 2024

2023

Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models.

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

CoRR, 2023

Your representations are in the network: composable and parallel adaptation for large scale models.

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Characterizing the spectrum of the NTK via a power series expansion.

Michael Murray, Hui Jin, Benjamin Bowman, Guido Montúfar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SAFE: Machine Unlearning With Shard Graphs.

Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting.

Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime.

Benjamin Bowman, Guido F. Montúfar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks.

Benjamin Bowman, Guido Montúfar

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Towards Next-Generation Cybersecurity with Graph AI.

Benjamin Bowman, H. Howie Huang

ACM SIGOPS Oper. Syst. Rev., 2021

2020

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset.

Craig Laprade, Benjamin Bowman, H. Howie Huang

CoRR, 2020

Detecting Lateral Movement in Enterprise Computer Networks with Unsupervised Graph AI.

Benjamin Bowman, Craig Laprade, Yuede Ji, H. Howie Huang

Proceedings of the 23rd International Symposium on Research in Attacks, 2020

VGRAPH: A Robust Vulnerable Code Clone Detection System Using Code Property Triplets.

Benjamin Bowman, H. Howie Huang

Proceedings of the IEEE European Symposium on Security and Privacy, 2020

2019

Securing Malware Cognitive Systems against Adversarial Attacks.

Yuede Ji, Benjamin Bowman, H. Howie Huang

Proceedings of the 2019 IEEE International Conference on Cognitive Computing, 2019