·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance8h◆Toward Trustworthy Autonomous Science: A Two-Year Community Roadmap8h◆ReflectWorld-MM: An Entity-Oriented Multimodal Memory System for Open-Ended Video Streams8h◆Mirror Horizon: Viable Path Entropy as a Measure of Bounded Reflection8h◆The Illusion of Robustness: Aggregate Accuracy Hides Prediction Flips under Task-Irrelevant Context8h◆What Makes a Representational Prior Work? Feature Families, Label-Free Invariances, and Critical Windows in Grokking8h◆Scalable Optimal Transport Algorithm for Network Alignment8h◆Mind the Gap: Promises and Pitfalls of Hierarchical Planning in LeWorldModel8h◆ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories8h◆MAGE: Understanding Stability-Performance Trade-offs in Multi-component Prompt Optimization8h◆Evaluating Reliability in Machine Learning Models for Early Chronic Kidney Disease Prediction: A Systematic Review of Data Leakage and Predictor Stability8h◆Self-Evolving In-Context Learning for Direct Pilot-to-Beamformer Design in MU-MISO Systems8h◆Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs8h◆AutoTrace: From Patches to Triggers via Agentic Interprocedural Exploration8h◆The Benjamini--Hochberg Procedure Can Fail to Control the FDR for Correlated Two-Sided Gaussian Tests8h◆Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles8h◆Keep Policy Gradient in Charge: Sibling-Guided Credit Distillation for Long-Horizon Tool-Use Agents8h◆PLGSA-Transformer: Periocular Landmark-Guided Attention with Occlusion-Adaptive Cosine Thresholding for Cross-Modal Masked and Unmasked Face Recognition8h◆A Shared Subcircuit Lets LLMs Count Down Across Tasks8h◆Can LLMs Write Reliable Rubrics? A Meta-Evaluation for Experiment Reproduction8h◆Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance8h◆Toward Trustworthy Autonomous Science: A Two-Year Community Roadmap8h◆ReflectWorld-MM: An Entity-Oriented Multimodal Memory System for Open-Ended Video Streams8h◆Mirror Horizon: Viable Path Entropy as a Measure of Bounded Reflection8h◆The Illusion of Robustness: Aggregate Accuracy Hides Prediction Flips under Task-Irrelevant Context8h◆What Makes a Representational Prior Work? Feature Families, Label-Free Invariances, and Critical Windows in Grokking8h◆Scalable Optimal Transport Algorithm for Network Alignment8h◆Mind the Gap: Promises and Pitfalls of Hierarchical Planning in LeWorldModel8h◆ISE: An Execution-Grounded Recipe for Multi-Turn OS-Agent Trajectories8h◆MAGE: Understanding Stability-Performance Trade-offs in Multi-component Prompt Optimization8h◆Evaluating Reliability in Machine Learning Models for Early Chronic Kidney Disease Prediction: A Systematic Review of Data Leakage and Predictor Stability8h◆Self-Evolving In-Context Learning for Direct Pilot-to-Beamformer Design in MU-MISO Systems8h◆Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs8h◆AutoTrace: From Patches to Triggers via Agentic Interprocedural Exploration8h◆The Benjamini--Hochberg Procedure Can Fail to Control the FDR for Correlated Two-Sided Gaussian Tests8h◆Does Topic Sentiment Cause Perceived Ideology? Comparing Human and LLM Annotations in Political News Articles8h◆Keep Policy Gradient in Charge: Sibling-Guided Credit Distillation for Long-Horizon Tool-Use Agents8h◆PLGSA-Transformer: Periocular Landmark-Guided Attention with Occlusion-Adaptive Cosine Thresholding for Cross-Modal Masked and Unmasked Face Recognition8h◆A Shared Subcircuit Lets LLMs Count Down Across Tasks8h◆Can LLMs Write Reliable Rubrics? A Meta-Evaluation for Experiment Reproduction8h◆
News/NeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents
arxiv
PublishedJuly 2, 2026 at 4:00 AM
—neutral

NeuroFilter: Activation-Based Guardrails for Privacy-Conscious LLM Agents

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

arXiv:2601.14660v2 Announce Type: replace-cross Abstract: Agentic Large Language Models (LLMs) are models able to reason, plan, and execute tools over unstructured data. These abilities are enabling transformative applications in domains spanning from personal assistant, financial, and legal domains

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
    Agentic Large Language Models (LLMs)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#privacy#security#language-models

No replies yet. Be first.

Mentioned models
01
  • 01
    Agentic Large Language Models (LLMs)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#privacy#security#language-models

Related coverage

More from ARXIV
arxivLearning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance8harxivToward Trustworthy Autonomous Science: A Two-Year Community Roadmap8harxivReflectWorld-MM: An Entity-Oriented Multimodal Memory System for Open-Ended Video Streams8harxivMirror Horizon: Viable Path Entropy as a Measure of Bounded Reflection8h
The Bubble Brief
WEEKLY

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

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

Originally published on arxiv ↗
HomeModelsNews