Securing Malware Cognitive Systems against Adversarial Attacks. - Yuede Ji; Benjamin Bowman; H. Howie Huang (ICCC, 2019)

VGRAPH: A Robust Vulnerable Code Clone Detection System Using Code Property Triplets. - Benjamin Bowman; H. Howie Huang (EuroS&P, 2020)

Detecting Lateral Movement in Enterprise Computer Networks with Unsupervised Graph AI. - Benjamin Bowman; Craig Laprade; Yuede Ji; H. Howie Huang (RAID, 2020)

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset. - Craig Laprade; Benjamin Bowman; H. Howie Huang (CoRR, 2020)

Towards Next-Generation Cybersecurity with Graph AI. - Benjamin Bowman; H. Howie Huang (ACM SIGOPS Oper. Syst. Rev., 2021)

Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks. - Benjamin Bowman; Guido Montúfar (ICLR, 2022)

Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime. - Benjamin Bowman; Guido F. Montúfar (NeurIPS, 2022)

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 (CVPR, 2023)

SAFE: Machine Unlearning With Shard Graphs. - Yonatan Dukler; Benjamin Bowman; Alessandro Achille; Aditya Golatkar; Ashwin Swaminathan; Stefano Soatto (ICCV, 2023)

Characterizing the spectrum of the NTK via a power series expansion. - Michael Murray; Hui Jin; Benjamin Bowman; Guido Montúfar (ICLR, 2023)

Your representations are in the network: composable and parallel adaptation for large scale models. - Yonatan Dukler; Alessandro Achille; Hao Yang 043; Varsha Vivek; Luca Zancato; Benjamin Bowman; Avinash Ravichandran; Charless C. Fowlkes; Ashwin Swaminathan; Stefano Soatto (NeurIPS, 2023)

Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. - Yonatan Dukler; Alessandro Achille; Hao Yang 043; Varsha Vivek; Luca Zancato; Benjamin Bowman; Avinash Ravichandran; Charless C. Fowlkes; Ashwin Swaminathan; Stefano Soatto (CoRR, 2023)

Fine-grained Graph-based Anomaly Detection on Vehicle Controller Area Networks. - Isaiah J. King; Benjamin Bowman; H. Howie Huang (IEEE Big Data, 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 002; Benjamin Bowman; Matthew Trager; Alessandro Achille; Stefano Soatto (NeurIPS, 2024)

Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective. - Mitchell Kiely; Metin Ahiskali; Etienne Borde; Benjamin Bowman; David Bowman; Dirk Van Bruggen; KC Cowan; Prithviraj Dasgupta; Erich Devendorf; Ben Edwards; Alex Fitts; Sunny Fugate; et al. (AAAI, 2025)

Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models. - Elvis Nunez; Luca Zancato; Benjamin Bowman; Aditya Golatkar; Wei Xia; Stefano Soatto (NeuS, 2025)

Maximally-Informative Retrieval for State Space Model Generation. - Evan Becker; Benjamin Bowman; Matthew Trager; Tian Yu Liu; Luca Zancato; Wei Xia; Stefano Soatto (CoRR, 2025)