Hybrid Batch Attacks at USENIX Security 2020
Here’s the video for Suya’s presentation on Hybrid Batch Attacks at USENIX Security 2020:
Download Video [mp4]
Blog Post
Paper: [PDF] [arXiv]
USENIX Security 2020: Hybrid Batch Attacks
New: Video Presentation Finding Black-box Adversarial Examples with Limited Queries Black-box attacks generate adversarial examples (AEs) against deep neural networks with only API access to the victim model. Existing black-box attacks can be grouped into two main categories: Transfer Attacks use white-box attacks on local models to find candidate adversarial examples that transfer to the target model. Optimization Attacks use queries to the target model and apply optimization techniques to search for adversarial examples.Research Symposium Posters
Five students from our group presented posters at the department’s Fall Research Symposium:
Anshuman Suri's Overview Talk
Wahoos at Oakland
UVA Group Dinner at IEEE Security and Privacy 2018
Including our newest faculty member, Yongwhi Kwon, joining UVA in Fall 2018!
Yuan Tian, Fnu Suya, Mainuddin Jonas, Yongwhi Kwon, David Evans, Weihang Wang, Aihua Chen, Weilin Xu
## Poster Session
 Fnu Suya (with Yuan Tian and David Evans), Adversaries Don’t Care About Averages: Batch Attacks on Black-Box Classifiers [PDF] |
 Mainuddin Jonas (with David Evans), Enhancing Adversarial Example Defenses Using Internal Layers [PDF] |
|
|