Daniel Lowd
20 papers · 2010–2024 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 40% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Daniel Lowd?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Zayd Hammoudeh, Jonathan Brophy, Wencong You
8 papers
· 2020–2024
· EMNLP, NeurIPS, AAAI
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Provable Robustness against a Union of L_0 Adversarial Attacks
AAAI 2024
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees
JMLR 2023
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers
EMNLP 2023
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
NeurIPS 2022
Towards Stronger Adversarial Baselines Through Human-AI Collaboration
ACL 2022
Machine Unlearning for Random Forests
ICML 2021
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations
EMNLP 2021
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift
NeurIPS 2020