Evading Anti-Phishing Models: A Field Note Documenting an Experience in the Machine Learning Security Evasion Competition 2022
Altmetric Attention Score
This badge shows attention from news, blogs, social media, policy documents, and more. View details
📈 Dimensions Citation Metrics
Dimensions tracks citations across scholarly literature, patents, clinical trials, and policy documents. View full metrics →
Key Contributions
Key contributions will be added soon.
Artifacts
Related Papers
Citation
Yang Gao, Benjamin M. Ampel, & Sagar Samtani (2023). Evading Anti-Phishing Models: A Field Note Documenting an Experience in the Machine Learning Security Evasion Competition 2022. Digital Threats: Research and Practice https://doi.org/10.1145/3603507