Search Results for author: Sai Yerramreddy

Found 2 papers, 0 papers with code

Extending Explainable Boosting Machines to Scientific Image Data

no code implementations25 May 2023 Daniel Schug, Sai Yerramreddy, Rich Caruana, Craig Greenberg, Justyna P. Zwolak

As the deployment of computer vision technology becomes increasingly common in science, the need for explanations of the system and its output has become a focus of great concern.

Metamorphic Adversarial Detection Pipeline for Face Recognition Systems

no code implementations AAAI Workshop AdvML 2022 Rohan Reddy Mekala, Sai Yerramreddy, Adam Porter

As part of the research presented in this paper, we first deploy a range of state of the art adversarial attacks against multiple face recognition pipelines trained in a black box setup, and then generate pair-wise adversarial image sets to deceive the corresponding models under attack.

Adversarial Attack Face Recognition +6

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