OpenBackdoor: A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks

Reading notes about OpenBackdoor.

Abstract

This paper focus on textual backdoor attacks, which highlights two issues in privious backdoor learning evaluations:

1. real-wolrd scenarios differs
2. evaluation ignore that poisoned samples’ stealthy and semantic-preserving

Contribution:

1. categorize existing scenarios
2. new stealthy and semantic-preserving metrics