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2020 – today
- 2024
[i8]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)- 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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