repoGitLabTrust 82 · PrimaryPublished 2mo agoLive · 1mo ago
aswathishaijuv/phishing-email-detection-using-machine-learning
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 55%How Amazon Bedrock catches AI-generated phishing →
- PossiblePossibly related (embedding) · 50%An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory →
- PossiblePossibly related (embedding) · 46%AI spam filters are getting suckered by old-school text salting →
- PossiblePossibly related (embedding) · 61%Year-long Russian attacks infect users as soon as they look at an email →
- PossiblePossibly related (embedding) · 47%Trezor, BitBox users targeted in newsletter phishing spree →
- PossiblePossibly related (embedding) · 57%Microsoft finds an AI jailbreak trick fueling a 2.37 million email phishing wave - Startup Fortune →
Covers
Implements (incoming)
Covers (incoming)
newsAI spam filters are getting suckered by old-school text saltingnewsYear-long Russian attacks infect users as soon as they look at an emailnewsTrezor, BitBox users targeted in newsletter phishing spreenewsMicrosoft finds an AI jailbreak trick fueling a 2.37 million email phishing wave - Startup Fortune
Related across the graph
paperAn Explainable Agentic System for Detection of Conversational Scams with Summary-Based MemorynewsTrezor, BitBox users targeted in newsletter phishing spreenewsYear-long Russian attacks infect users as soon as they look at an emailnewsHow Amazon Bedrock catches AI-generated phishingnewsAI spam filters are getting suckered by old-school text saltingnewsMicrosoft finds an AI jailbreak trick fueling a 2.37 million email phishing wave - Startup Fortune