Andrew Ilyas
25 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🌉
Interdisciplinary Bridge
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🤝
Dynamic Duo
(21)
👑
Triple Crown
💎
Century Club
(25)
📈
Trend Setter
🔥
Unstoppable
(8)
🚀
Conference Pioneer
⚡
Prolific Year
(6)
❓
The Questioner
(2)
🗃️
Keyword Collector
(96)
Conferences
ICML (10)
NIPS (7)
ICLR (6)
AISTATS (1)
CVPR (1)
Top co-authors
Research topics
Keywords
adversarial robustness
(3)
image classification
(3)
adversarial example
(3)
adversarial learning
(2)
benchmark evaluation
(2)
feature representation
(2)
computer vision
(2)
influence function
(2)
neural network
(2)
data augmentation
(1)
model robustness
(1)
object recognition
(1)
image generation
(1)
batch normalization
(1)
model analysis
(1)
logistic regression
(1)
image editing
(1)
image synthesis
(1)
transfer learning
(1)
robust statistics
(1)
Papers
Machine Unlearning via Simulated Oracle Matching
ICLR 2025
Decomposing and Editing Predictions by Modeling Model Computation
ICML 2024
Improving Subgroup Robustness via Data Selection
NIPS 2024
FFCV: Accelerating Training by Removing Data Bottlenecks
CVPR 2023
Raising the Cost of Malicious AI-Powered Image Editing
ICML 2023
TRAK: Attributing Model Behavior at Scale
ICML 2023
Rethinking Backdoor Attacks
ICML 2023
ModelDiff: A Framework for Comparing Learning Algorithms
ICML 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
A Theoretical and Practical Framework for Regression and Classification from Truncated Samples
AISTATS 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
Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors
ICLR 2019
Image Synthesis with a Single (Robust) Classifier
NIPS 2019
Adversarial Examples Are Not Bugs, They Are Features
NIPS 2019
Black-box Adversarial Attacks with Limited Queries and Information
ICML 2018
Training GANs with Optimism
ICLR 2018
Synthesizing Robust Adversarial Examples
ICML 2018
How Does Batch Normalization Help Optimization?
NIPS 2018