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AdvGLUE (Adversarial GLUE)
Adversarial GLUE (AdvGLUE) is a new multi-task benchmark to quantitatively and thoroughly explore and evaluate the vulnerabilities of modern large-scale language models under various types of adversarial attacks. In particular, we systematically apply 14 textual adversarial attack methods to GLUE tasks to construct AdvGLUE, which is further validated by humans for reliable annotations.
Description from: Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Adversarial Robustness | AdvGLUE | DeBERTa (single model) Accuracy 0.6086 | Adversarial GLUE: A Multi-Task Benchmark for Robustness... | ai-secure/adversarial-glue | 10 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 36. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models | 1 | 10 | 4 Nov 2021 | not harvested |
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- AdvGLUE
1 variant name, as the archive lists them.
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