← Authors

Daniel Lowd

20 papers · 2010–2024 · 8 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (14) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (8) 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (20) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (104) πŸš€ Conference Pioneer

Conferences

ICML (4) EMNLP (3) JMLR (3) NIPS (3) ACL (2) AISTATS (2) COLING (2) AAAI (1)

Top co-authors

Zayd Hammoudeh (5) Dejing Dou (4) Jonathan Brophy (4) Amirmohammad Rooshenas (4) Javid Ebrahimi (4) Wencong You (3) Kalyani Asthana (1) Pedro Domingos (1) Adam Noack (1) MohamadAli Torkamani (1)

Research topics

Privacy (1)

Keywords

structure learning (4) probabilistic modeling (4) markov network (4) graphical model (3) adversarial example (3) arithmetic circuit (3) adversarial training (3) adversarial attack (2) text classification (2) sum-product network (2) white-box attack (2) poisoning attack (2) adversarial learning (2) backdoor attack (2) relational learning (1) variational inference (1) model misspecification (1) feature learning (1) natural language processing (1) weakly supervised learning (1)

Papers

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
Towards Stronger Adversarial Baselines Through Human-AI Collaboration ACL 2022
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees NIPS 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 NIPS 2020
HotFlip: White-Box Adversarial Examples for Text Classification ACL 2018
On Adversarial Examples for Character-Level Neural Machine Translation COLING 2018
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping EMNLP 2016
Discriminative Structure Learning of Arithmetic Circuits AISTATS 2016
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets COLING 2016
The Libra Toolkit for Probabilistic Models JMLR 2015
Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014
On Robustness and Regularization of Structural Support Vector Machines ICML 2014
Improving Markov Network Structure Learning Using Decision Trees JMLR 2014
Learning Markov Networks With Arithmetic Circuits AISTATS 2013
Convex Adversarial Collective Classification ICML 2013
Approximate Inference by Compilation to Arithmetic Circuits NIPS 2010