Adversarial Robustness Toolbox
adversarial-robustness-toolbox.orgThe Adversarial Robustness Toolbox (ART) is an open-source Python library designed for machine learning security, enabling developers to evaluate, defend against, and verify models against adversarial threats. It provides a comprehensive suite of attack and defense modules compatible with major ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Originally developed by IBM, the project is now maintained under the LF AI & Data Foundation.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
DataForSEO API
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Adversarial Robustness Toolbox mentions POST v3/ai_optimization/llm_mentions/search/live [ { "target": [ { "keyword": "Adversarial Robustness Toolbox", "search_scope": ["any"] } ], "platform": "chat_gpt", "order_by" : ["ai_search_volume,desc"] } ]
