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2020 – today
- 2025
[c14]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, Ryan Gabrys, Wayne Gould, H. Howie Huang, Jules Jacobs, Ryan Kerr, Isaiah J. King, Li Li, Luis Martinez, Christopher Moir, Craig Murphy, Olivia Naish, Claire Owens, Miranda Purchase, Ahmad Ridley, Adrian Taylor, Sara Farmer, William John Valentine, Yiyi Zhang:
Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective. AAAI 2025: 28907-28913- [c13]Isaiah J. King, Ramiro Ramirez, Benjamin Bowman, H. Howie Huang:
Trail: A Knowledge Graph-Based Approach for Attributing Advanced Persistent Threats. ICDE 2025: 1207-1220 - [c12]Elvis Nunez, Luca Zancato, Benjamin Bowman, Aditya Golatkar, Wei Xia, Stefano Soatto:
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models. NeuS 2025: 570-596 - [i11]Evan Becker, Benjamin Bowman, Matthew Trager, Tian Yu Liu, Luca Zancato, Wei Xia, Stefano Soatto:
Maximally-Informative Retrieval for State Space Model Generation. CoRR abs/2506.12149 (2025) - [i10]Isaiah J. King, Benjamin Bowman, H. Howie Huang:
Automated Cyber Defense with Generalizable Graph-based Reinforcement Learning Agents. CoRR abs/2509.16151 (2025) - 2024
- [c11]Isaiah J. King, Benjamin Bowman, H. Howie Huang:
Fine-grained Graph-based Anomaly Detection on Vehicle Controller Area Networks. IEEE Big Data 2024: 1346-1351 - [c10]Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto:
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. NeurIPS 2024 - [i9]Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto:
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR abs/2407.06324 (2024) - [i8]Elvis Nunez, Luca Zancato, Benjamin Bowman, Aditya Golatkar, Wei Xia, Stefano Soatto:
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models. CoRR abs/2412.13328 (2024) - 2023
- [c9]Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto:
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CVPR 2023: 14984-14993 - [c8]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. ICCV 2023: 17062-17072 - [c7]Michael Murray
, Hui Jin, Benjamin Bowman, Guido Montúfar:
Characterizing the spectrum of the NTK via a power series expansion. ICLR 2023 - [c6]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS 2023 - [i7]Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto:
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CoRR abs/2302.07994 (2023) - [i6]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR abs/2303.04105 (2023) - [i5]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. CoRR abs/2304.13169 (2023) - 2022
- [c5]Benjamin Bowman, Guido Montúfar:
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks. ICLR 2022 - [c4]Benjamin Bowman, Guido F. Montúfar:
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime. NeurIPS 2022 - [i4]Benjamin Bowman, Guido Montúfar:
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks. CoRR abs/2201.04738 (2022) - [i3]Benjamin Bowman, Guido Montúfar:
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime. CoRR abs/2206.02927 (2022) - [i2]Michael Murray, Hui Jin, Benjamin Bowman, Guido Montúfar:
Characterizing the Spectrum of the NTK via a Power Series Expansion. CoRR abs/2211.07844 (2022) - 2021
- [j1]Benjamin Bowman, H. Howie Huang:
Towards Next-Generation Cybersecurity with Graph AI. ACM SIGOPS Oper. Syst. Rev. 55(1): 61-67 (2021) - 2020
- [c3]Benjamin Bowman, H. Howie Huang:
VGRAPH: A Robust Vulnerable Code Clone Detection System Using Code Property Triplets. EuroS&P 2020: 53-69 - [c2]Benjamin Bowman, Craig Laprade, Yuede Ji, H. Howie Huang:
Detecting Lateral Movement in Enterprise Computer Networks with Unsupervised Graph AI. RAID 2020: 257-268 - [i1]Craig Laprade, Benjamin Bowman, H. Howie Huang:
PicoDomain: A Compact High-Fidelity Cybersecurity Dataset. CoRR abs/2008.09192 (2020)
2010 – 2019
- 2019
- [c1]Yuede Ji, Benjamin Bowman, H. Howie Huang:
Securing Malware Cognitive Systems against Adversarial Attacks. ICCC 2019: 1-9
Coauthor Index
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