Generalizable Adversarial Attacks Using Generative Models

By Avishek Joey Bose, Andre Cianflone, William L. Hamilton. 2019

12 citations recorded by the source corpus.

Subfields: Generative Models, Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Generative Models

1. Simon Lacoste-Julien
2. Gauthier Gidel
3. Pascal Vincent
4. Bo Li
5. Philip S. Yu
6. Avishek Joey Bose
7. Andre Cianflone
8. Lichao Sun

In Safety, Robustness & Interpretability

1. Avishek Joey Bose
2. William L. Hamilton
3. Andre Cianflone
4. Simon Lacoste-Julien
5. Bo Li
6. Philip S. Yu
7. Pascal Vincent
8. Hugo Berrard

Citations in the corpus

• Adversarial Example Games (2020, background): “Similar in spirit to our approach many attacks strategies benefit from employing a latent space to craft attacks [76, 68, 9].”
• Adversarial Attack and Defense on Graph Data: A Survey (2018, background): “Some works can also construct the adversarial samples with generative models [12], [19], [42].”