Daniel Lowd
University of Oregon
H-index: 28
North America-United States
Top articles of Daniel Lowd
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Training data influence analysis and estimation: A survey | Machine Learning | Zayd Hammoudeh Daniel Lowd | 2024/3/29 |
Provable Robustness against a Union of L_0 Adversarial Attacks | Proceedings of the AAAI Conference on Artificial Intelligence | Zayd Hammoudeh Daniel Lowd | 2024/3/24 |
Reducing certified regression to certified classification for general poisoning attacks | Zayd Hammoudeh Daniel Lowd | 2023 | |
Adapting and evaluating influence-estimation methods for gradient-boosted decision trees | Journal of Machine Learning Research | Jonathan Brophy Zayd Hammoudeh Daniel Lowd | 2023 |
Large language models are better adversaries: Exploring generative clean-label backdoor attacks against text classifiers | arXiv preprint arXiv:2310.18603 | Wencong You Zayd Hammoudeh Daniel Lowd | 2023/10/28 |
Feature Partition Aggregation: A Fast Certified Defense Against a Union of Attacks | Zayd Hammoudeh Daniel Lowd | 2023/8/7 | |
Provable Robustness Against a Union of Adversarial Attacks | arXiv preprint arXiv:2302.11628 | Zayd Hammoudeh Daniel Lowd | 2023/2/22 |
Towards stronger adversarial baselines through human-AI collaboration | Wencong You Daniel Lowd | 2022/5 | |
Identifying adversarial attacks on text classifiers | arXiv preprint arXiv:2201.08555 | Zhouhang Xie Jonathan Brophy Adam Noack Wencong You Kalyani Asthana | 2022/1/21 |
Instance-based uncertainty estimation for gradient-boosted regression trees | Advances in Neural Information Processing Systems | Jonathan Brophy Daniel Lowd | 2022/12/6 |
Neural-symbolic learning and reasoning: A survey and interpretation | Neuro-Symbolic Artificial Intelligence: The State of the Art | Artur d’Avila Garcez Sebastian Bader Howard Bowman Luis C Lamb Leo de Penning | 2022/1/19 |
Identifying a training-set attack's target using renormalized influence estimation | Zayd Hammoudeh Daniel Lowd | 2022/11/7 | |
TCAB: A Large-Scale Text Classification Attack Benchmark | arXiv preprint arXiv:2210.12233 | Kalyani Asthana Zhouhang Xie Wencong You Adam Noack Jonathan Brophy | 2022/10/21 |
Simple, Attack-Agnostic Defense Against Targeted Training Set Attacks Using Cosine Similarity | Zayd Hammoudeh Daniel Lowd | 2021 | |
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations | Zhouhang Xie Jonathan Brophy Adam Noack Wencong You Kalyani Asthana | 2021 | |
Machine unlearning for random forests | Jonathan Brophy Daniel Lowd | 2021/7/1 | |
Learning from positive and unlabeled data with arbitrary positive shift | Zayd Hammoudeh Daniel Lowd | 2020 | |
Trex: Tree-ensemble representer-point explanations | arXiv preprint arXiv:2009.05530 | Jonathan Brophy Daniel Lowd | 2020/9/11 |
On the practicality of learning models for network telemetry | Proceedings of Network Traffic Measurement and Analysis Conference | Jamshidi Soheil Zayd Hammoudeh Ramakrishnan Durairajan Daniel Lowd Reza Rejaie | 2020/6 |
Eggs: A flexible approach to relational modeling of social network spam | arXiv preprint arXiv:2001.04909 | Jonathan Brophy Daniel Lowd | 2020/1/14 |
Co-Authors
