BackdoorBench
Emerging1papers using it
2022first seen
BackdoorBench is a comprehensive benchmark for backdoor learning that includes an extensible modular-based codebase with implementations of state-of-the-art attacks and defense algorithms, used to evaluate the performance and effectiveness of these methods in the context of deep neural networks' vulnerabilities.