Logan Engstrom
19 papers · 2018–2025 · 4 venues · across top CS/AI venues
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(5)
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Machine Learning
(16)
Artificial Intelligence
(9)
Core AI
(8)
Application Areas
(7)
Learning Types Β· Machine Learning
(7)
Optimization & Theory
(7)
Deep Learning
(5)
Core Methods
(4)
Computer Vision
(3)
Learning Types Β· Deep Learning
(3)
Reinforcement Learning
(2)
Analysis
(2)
Methods
(2)
Computer Science
(1)
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(1)
Keywords
adversarial robustness
(5)
image classification
(4)
adversarial example
(3)
neural network
(3)
feature representation
(3)
benchmark evaluation
(2)
deep reinforcement learning
(2)
computer vision
(2)
object recognition
(2)
policy gradient
(2)
adversarial attack
(2)
dataset selection
(2)
image synthesis
(1)
robust classification
(1)
data augmentation
(1)
model robustness
(1)
feature learning
(1)
data representation
(1)
efficient computing
(1)
query efficiency
(1)
Papers
Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
ICLR 2025
DsDm: Model-Aware Dataset Selection with Datamodels
ICML 2024
FFCV: Accelerating Training by Removing Data Bottlenecks
CVPR 2023
3DB: A Framework for Debugging Computer Vision Models
NeurIPS 2022
Datamodels: Understanding Predictions with Data and Data with Predictions
ICML 2022
Noise or Signal: The Role of Image Backgrounds in Object Recognition
ICLR 2021
Unadversarial Examples: Designing Objects for Robust Vision
NeurIPS 2021
A Closer Look at Deep Policy Gradients
ICLR 2020
Do Adversarially Robust ImageNet Models Transfer Better?
NeurIPS 2020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
ICML 2020
Identifying Statistical Bias in Dataset Replication
ICML 2020
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
ICLR 2020
Adversarial Examples Are Not Bugs, They Are Features
NeurIPS 2019
Exploring the Landscape of Spatial Robustness
ICML 2019
Image Synthesis with a Single (Robust) Classifier
NeurIPS 2019
Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors
ICLR 2019
Robustness May Be at Odds with Accuracy
ICLR 2019
Black-box Adversarial Attacks with Limited Queries and Information
ICML 2018
Synthesizing Robust Adversarial Examples
ICML 2018