Logan Engstrom
19 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot (4) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (7)
πΊοΈ
Taxonomy Completionist
(22)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Triple Crown
π€
Dynamic Duo
(17)
ποΈ
Keyword Collector
(55)
β
The Questioner
β‘
Prolific Year
(5)
π
Trend Setter
π
Century Club
(19)
π₯
Unstoppable
(8)
Conferences
ICML (7)
ICLR (6)
NIPS (5)
CVPR (1)
Top co-authors
Keywords
adversarial robustness
(4)
image classification
(3)
neural network
(3)
adversarial example
(3)
benchmark evaluation
(2)
computer vision
(2)
feature representation
(2)
model analysis
(1)
robust classification
(1)
transfer learning
(1)
data augmentation
(1)
image synthesis
(1)
model robustness
(1)
efficient computing
(1)
feature learning
(1)
adversarial attack
(1)
model debugging
(1)
data representation
(1)
black-box attack
(1)
object recognition
(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
Datamodels: Understanding Predictions with Data and Data with Predictions
ICML 2022
3DB: A Framework for Debugging Computer Vision Models
NIPS 2022
Unadversarial Examples: Designing Objects for Robust Vision
NIPS 2021
Noise or Signal: The Role of Image Backgrounds in Object Recognition
ICLR 2021
A Closer Look at Deep Policy Gradients
ICLR 2020
Do Adversarially Robust ImageNet Models Transfer Better?
NIPS 2020
Implementation Matters in Deep RL: A Case Study on PPO and TRPO
ICLR 2020
Identifying Statistical Bias in Dataset Replication
ICML 2020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
ICML 2020
Robustness May Be at Odds with Accuracy
ICLR 2019
Image Synthesis with a Single (Robust) Classifier
NIPS 2019
Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors
ICLR 2019
Exploring the Landscape of Spatial Robustness
ICML 2019
Adversarial Examples Are Not Bugs, They Are Features
NIPS 2019
Black-box Adversarial Attacks with Limited Queries and Information
ICML 2018
Synthesizing Robust Adversarial Examples
ICML 2018