David Evans
21 papers · 2003–2026 · 9 conferences · across top CS/AI conferences
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Conference Polyglot
(9)
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Academic Marathon
(22)
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Century Club
(20)
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(2)
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(8)
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Keyword Collector
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Conferences
EMNLP (4)
NIPS (4)
ICLR (3)
NAACL (3)
ACL (2)
ICML (2)
AISTATS (1)
CVPR (1)
UAI (1)
Top co-authors
Research topics
Keywords
adversarial example
(3)
large language model
(3)
differential privacy
(3)
adversarial attack
(3)
adversarial learning
(2)
adversarial robustness
(2)
gender bia
(2)
paraphrase identification
(2)
intrinsic robustness
(2)
natural language inference
(2)
poisoning attack
(2)
representation learning
(1)
stochastic gradient descent
(1)
model selection
(1)
causal inference
(1)
federated learning
(1)
reinforcement learning
(1)
transfer learning
(1)
contrastive learning
(1)
binary classification
(1)
Papers
Inferring Events from Time Series using Language Models
ACL 2026
Unsupervised Concept Vector Extraction for Bias Control in LLMs
EMNLP 2025
Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?
NAACL 2025
Addressing Both Statistical and Causal Gender Fairness in NLP Models
NAACL 2024
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
NIPS 2023
Manipulating Transfer Learning for Property Inference
CVPR 2023
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
UAI 2023
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
NIPS 2023
Understanding Intrinsic Robustness Using Label Uncertainty
ICLR 2022
An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models
EMNLP 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
EMNLP 2022
Model-Targeted Poisoning Attacks with Provable Convergence
ICML 2021
Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces
ICLR 2021
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory
EMNLP 2020
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
ICML 2020
Pointwise Paraphrase Appraisal is Potentially Problematic
ACL 2020
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
AISTATS 2020
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
NIPS 2019
Cost-Sensitive Robustness against Adversarial Examples
ICLR 2019
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization
NIPS 2018
Columbiaβs Newsblaster: New Features and Future Directions
NAACL 2003