Liam Fowl
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICASSP | 3D Gaussian Splatting with Normal Information for Mesh Extraction and Improved Rendering. | Meenakshi Krishnan, Liam Fowl, Ramani Duraiswami |
| 2023 | ICASSP | Exploring Sequence-to-Sequence Transformer-Transducer Models for Keyword Spotting. | Beltrn Labrador, Guanlong Zhao, Ignacio Lpez-Moreno, Angelo Scorza Scarpati, Liam Fowl, Quan Wang |
| 2022 | CVPR | Poisons that are learned faster are more effective. | Pedro Sandoval Segura, Vasu Singla, Liam Fowl, Jonas Geiping, Micah Goldblum, David Jacobs, Tom Goldstein |
| 2022 | CVPR | Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective. | Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping-Yeh Chiang, Yehuda Dar, Richard G. Baraniuk, Micah Goldblum, Tom Goldstein |
| 2022 | ICML | Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification. | Yuxin Wen, Jonas Geiping, Liam Fowl, Micah Goldblum, Tom Goldstein |
| 2021 | ICASSP | Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff. | Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta |
| 2020 | AAAI | Adversarially Robust Distillation. | Micah Goldblum, Liam Fowl, Soheil Feizi, Tom Goldstein |
| 2020 | ECCV | Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. | Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson |
| 2020 | ICASSP | Headless Horseman: Adversarial Attacks on Transfer Learning Models. | Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu |
| 2020 | ICML | Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks. | Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein |