Hybrid Batch Attacks at USENIX Security 2020

Here’s the video for Suya’s presentation on Hybrid Batch Attacks at USENIX Security 2020:


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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.

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