·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks41m◆Five labs, five minds: building a multi-model finance drama on small models2h◆What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates3h◆Sriram Krishnan is leaving his role as White House AI advisor3h◆The Trump administration might take an equity stake in OpenAI4h◆Job Searcher5h◆The mayor of Shelbyville, Indiana, says only people who live in ‘shitty houses’ oppose data center6h◆Meta made its own AI-generated clickbait news feed7h◆Here comes new Siri again9h◆Persona Atlas: Mapping How Famous Minds Think9h◆Vision Hopfield Memory Networks17h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations17h◆Insurance of Agentic AI17h◆Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety17h◆MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generation17h◆Bidirectional Search for Longest Paths: Case for Front-to-Front Heuristics17h◆CogManip: Benchmarking Manipulative Behavior in Multi-Turn Interactions with Large Language Model17h◆Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads17h◆Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents17h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery17h◆OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks41m◆Five labs, five minds: building a multi-model finance drama on small models2h◆What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates3h◆Sriram Krishnan is leaving his role as White House AI advisor3h◆The Trump administration might take an equity stake in OpenAI4h◆Job Searcher5h◆The mayor of Shelbyville, Indiana, says only people who live in ‘shitty houses’ oppose data center6h◆Meta made its own AI-generated clickbait news feed7h◆Here comes new Siri again9h◆Persona Atlas: Mapping How Famous Minds Think9h◆Vision Hopfield Memory Networks17h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations17h◆Insurance of Agentic AI17h◆Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety17h◆MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generation17h◆Bidirectional Search for Longest Paths: Case for Front-to-Front Heuristics17h◆CogManip: Benchmarking Manipulative Behavior in Multi-Turn Interactions with Large Language Model17h◆Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads17h◆Beyond Semantic Organization: Memory as Execution State Management for Long-Horizon Agents17h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery17h◆
News/The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play
arxiv
PublishedMay 13, 2026 at 4:00 AM
▲bullish

The Attacker in the Mirror: Breaking Self-Consistency in Safety via Anchored Bipolicy Self-Play

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

arXiv:2605.08427v1 Announce Type: new Abstract: Self-play red team is an established approach to improving AI safety in which different instances of the same model play attacker and defender roles in a zero-sum game, i.e., where the attacker tries to jailbreak the defender; if self-play converges to

Stay posted· Newsletter

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

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

Discussion
Mentioned models
01
  • 01
    Qwen2.5-{3B, 7B,14B}-IT
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#ai-safety#self-play#machine-learning

No replies yet. Be first.

Mentioned models
01
  • 01
    Qwen2.5-{3B, 7B,14B}-IT
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#ai-safety#self-play#machine-learning

Related coverage

More from ARXIV
arxivVision Hopfield Memory Networks17harxivStable Deep Reinforcement Learning via Isotropic Gaussian Representations17harxivInsurance of Agentic AI17harxivOutput Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety17h
The Bubble Brief
WEEKLY

Read ai-safety insights every Tuesday — top movers, new releases, story of the week.

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

Originally published on arxiv ↗
HomeModelsNews