·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Ollie is betting its focus on privacy can help it win the AI assistant race2h◆Nvidia launches free tool that links idle computers into a personal AI data center3h◆Google now lets you chat with Gmail, Docs, and Keep3h◆ChatGPT, Grok, and Claude all went down at the same time3h◆Google’s latest AI weather model gives you no excuse to forget your umbrella4h◆Google says its AI weather model is getting better4h◆NeoMME: an efficient Multimodal-native and Multilingual Encoder5h◆Nvidia confirms it will buy Hugging Face for $12.9 billion6h◆Nvidia is buying Hugging Face for almost $13 billion6h◆Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI15h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval15h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence15h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents15h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems15h◆Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model15h◆SpecMine: A Large-Scale Corpus of Spec-Driven Development Artifacts15h◆Elite political incivility is rising across democracies15h◆Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation15h◆Sim2Signal: Sim-to-Real Benchmarks for Traffic Signal Control15h◆Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL15h◆Ollie is betting its focus on privacy can help it win the AI assistant race2h◆Nvidia launches free tool that links idle computers into a personal AI data center3h◆Google now lets you chat with Gmail, Docs, and Keep3h◆ChatGPT, Grok, and Claude all went down at the same time3h◆Google’s latest AI weather model gives you no excuse to forget your umbrella4h◆Google says its AI weather model is getting better4h◆NeoMME: an efficient Multimodal-native and Multilingual Encoder5h◆Nvidia confirms it will buy Hugging Face for $12.9 billion6h◆Nvidia is buying Hugging Face for almost $13 billion6h◆Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI15h◆SSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval15h◆Epistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence15h◆DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents15h◆MASkills: Continual Skills Optimization for Multi-Agent LLM Systems15h◆Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model15h◆SpecMine: A Large-Scale Corpus of Spec-Driven Development Artifacts15h◆Elite political incivility is rising across democracies15h◆Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation15h◆Sim2Signal: Sim-to-Real Benchmarks for Traffic Signal Control15h◆Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL15h◆
News/Will the User Ever Know? Covert Indirect Prompt Injection Attacks on Tool-Using LLM Agents
arxiv
PublishedSeptember 2, 2026 at 4:00 AM

Will the User Ever Know? Covert Indirect Prompt Injection Attacks on Tool-Using LLM Agents

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

arXiv:2608.30362v2 Announce Type: replace Abstract: As LLM agents take real-world actions through tools, indirect prompt injection (IPI) has emerged as a serious threat. The standard metric, Attack Success Rate (ASR), counts whether an injection succeeds but ignores what the user notices in the agen

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
arxivMeta-ethics and AI: exploring the novel meta-ethical questions in the era of AI15harxivSSAKG 2.0: An Open-Source Package for Structural Associative Sequence Memory and Context-Based Retrieval15harxivEpistemic Sybil Resistance: Multiplying AI Agents Without Multiplying Evidence15harxivDocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents15h
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