perplexity-ai/browsesafe-bench
Dataset Card for BrowseSafe-Bench Dataset Details Dataset Description BrowseSafe-Bench is a comprehensive security benchmark designed to evaluate the robustness of AI browser agents against prompt injection attacks embedded in realistic HTML environments. Unlike prior benchmarks that focus on simple text injections, BrowseSafe-Bench emphasizes environmental realism, incorporating complex HTML structures, diverse attack semantics, and benign… See the full description on the dataset page: https://huggingface.co/datasets/perplexity-ai/browsesafe-bench.
| Author / organization | perplexity-ai |
|---|---|
| License (as declared) | mit |
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 29 |
| Created | 27 November 2025 |
| Last updated at source | 4 December 2025 |
Popularity, last 2 days
1,600 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- perplexity-ai/browsesafeModel · used to train
Recent changes
- 17 Oct 2026 Description: Dataset Card for BrowseSafe-Bench Dataset Details Dataset Description BrowseSafe-Bench is a comprehensive security benchmark designed to evaluate the robustness of AI browser agents against prompt injection attacks embedded in realistic HTM → Dataset Card for BrowseSafe-Bench Dataset Details Dataset Description BrowseSafe-Bench is a comprehensive security benchmark designed to evaluate the robustness of AI browser agents against prompt injection attacks embedded in realistic HTM
Changes detected by Silytics between refreshes of the source.
More from perplexity-ai
- perplexity-ai/dracoDataset
- perplexity-ai/browsesafe-plus-plusDataset
- perplexity-ai/PII-TRACEDataset
- perplexity-ai/wandrDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.