·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SpaceX officially prices shares at $135 in the largest IPO ever1h◆Our new community investments in Virginia support local jobs and expand energy affordability.2h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift2h◆Amazon’s data centers used 2.5 billion gallons of water last year4h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others5h◆Pool’s new app turns your screenshots into something useful6h◆DoorDash’s new AI chatbot lets you order with prompts and photos7h◆Anthropic apologizes for invisible Claude Fable guardrails10h◆Google DeepMind is worried about what happens when millions of agents start to interact11h◆Deezer launches an AI music detector for other streaming services14h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing18h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning18h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!18h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation18h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions18h◆The Impossibility of Eliciting Latent Knowledge18h◆Mapping Scientific Literature with Large Language Models and Topic Modeling18h◆Grounding Computer Use Agents on Human Demonstrations18h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models18h◆LSTM based IoT Device Identification18h◆SpaceX officially prices shares at $135 in the largest IPO ever1h◆Our new community investments in Virginia support local jobs and expand energy affordability.2h◆SpaceX SPV investors won’t know their true holdings until post-IPO lock-ups lift2h◆Amazon’s data centers used 2.5 billion gallons of water last year4h◆Deezer’s new tool can identify AI music from Spotify, Apple Music, and others5h◆Pool’s new app turns your screenshots into something useful6h◆DoorDash’s new AI chatbot lets you order with prompts and photos7h◆Anthropic apologizes for invisible Claude Fable guardrails10h◆Google DeepMind is worried about what happens when millions of agents start to interact11h◆Deezer launches an AI music detector for other streaming services14h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing18h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning18h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!18h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation18h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions18h◆The Impossibility of Eliciting Latent Knowledge18h◆Mapping Scientific Literature with Large Language Models and Topic Modeling18h◆Grounding Computer Use Agents on Human Demonstrations18h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models18h◆LSTM based IoT Device Identification18h◆
News/Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems
arxiv
PublishedJune 11, 2026 at 4:00 AM
—neutral

Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.11471v1 Announce Type: cross Abstract: The expansion of the digital domain has resulted in a substantial increase in digital communication, with email emerging as one of the most prominent channels. The proliferation of email communication is apparent in both professional and personal con

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning18harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!18harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation18harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions18h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews