Comments (2)
Hello,
We report the results on the checkpoint with the best PGD-20 robustness. Specifically, we save all checkpoints during training, test their robustness under PGD-20 on the test set, and select the best one.
This setting is originally from TRADES, and is inherited by succeeding papers [2,3,4]. We apply this setting for all defenses in Table 2 for a fair comparison.
Hope this addresses your question :)
[1] Theoretically Principled Trade-off between Robustness and Accuracy. In ICML, 2019.
[2] Improving Adversarial Robustness Requires Revisiting Misclassified Examples. In ICLR, 2020.
[3] Boosting Adversarial Training with Hypersphere Embedding. In NeurIPS, 2020.
[4] Bag of Tricks for Adversarial Training. In ICLR, 2021.
from awp.
Thank you for sharing the details of the selecting strategy but I still have concerns about this strategy. I know that previous papers selected the best checkpoint from testing set but the checkpoint may overfit to testing test potentially. As far as i know, a proper strategy is that splitting a validation set from training set and selecting the best result from the validation set. What I want to say is that the testing set should be hidden until the final evaluation. Do I make problem too complicated?
from awp.
Related Issues (4)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from awp.