Contextual Integrity
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Related Articles from SNS
Need to Know: Contextual-Integrity-Grounded Query Rewriting for Privacy-Conscious LLM Delegation
arXiv:2606.04067v1 Announce Type: new Abstract: As LLMs become increasingly woven into everyday workflows, user queries sent to cloud hosted LLMs routinely mix task-essential content with task non-essential sensitive disclosures, yet type based PII redaction is context agnostic and may raise two issues: over disclosing untyped sensitive context and over removing answer bearing spans. We recast privacy preserving query rewriting under Contextual Integrity: a span should be forwarded only if...
TeleHunt: A Framework and Tool for Efficient Cybercriminal Community Discovery on Telegram
arXiv:2606.04657v1 Announce Type: new Abstract: This paper presents TeleHunt, a framework and tool for evaluating the effectiveness of different strategies to discover cybercriminal communities on Telegram. TeleHunt employs a set of reference-driven snowballing strategies, integrating message-level classification, contextual filtering, and market-segment labeling. Using open- and dark-web seeds, we systematically evaluate how seed source, pointer type, and exploration strategy influence...
Contextualized Prompting For Stance Detection On Social Media
Announce Type: new Abstract: Stance detection on social media is challenging due to short, noisy, and context-dependent language. While large language models (LLMs) show zero-shot generalization, they are typically prompted without contextual information, which limits their ability to interpret ambiguous posts. In this work, we systematically investigate the impact of incorporating real-world (e.g., user biographies), derived (e.g., political party), and LLM-generated (e.g., target...
VidMsg: A Benchmark for Implicit Message Inference in Short Videos
Announce Type: new Abstract: Understanding short online videos involves more than identifying visible objects and actions; video makers often include an underlying message or purpose in the clip. We introduce VidMsg, a benchmark for evaluating implicit message understanding in short, internet-native video clips. VidMsg contains 400 YouTube-derived clips across 9 practical topic areas and 52 fine-grained target messages, covering domains such as career and finance, education, health and...
Harnessing Generalist Agents for Contextualized Time Series
Announce Type: new Abstract: Time series are often embedded in rich contexts that are essential for holistic modeling. Moreover, real-world practitioners often require end-to-end workflows for analyzing temporal dynamics, where widely studied tasks such as forecasting are only one step in a broader solution loop. While generalist AI agents offer a promising interface for such workflows under complex contexts, they still operate primarily in textual spaces that are not fully aligned with...
Integrating citizen science with experimental data uncovers how switchgrass adapts flowering by region
Integrating citizen science with experimental data uncovers how switchgrass adapts flowering by region Gaby Clark Scientific Editor Robert Egan Associate Editor In its native habitat, switchgrass flowered earlier when growing farther north. In experiments with diverse genetic samples, it flowered earlier in the south. The discrepancy wasn't a welcome sight for a research team studying how prairie grasses respond in different environments, but resolving the apparent conflict led the...
WAM-Nav: Asymmetric Latent World-Action Modeling for Unified Visual Navigation
arXiv:2606.04907v1 Announce Type: new Abstract: Visual navigation requires generating smooth and collision-free trajectories under complex geometric and physical constraints. Existing reactive policies that directly map observations to actions lack anticipatory reasoning, limiting their ability to proactively avoid obstacles. While visual imagination offers predictive foresight, conventional modular approaches separate scene prediction from policy learning, often leading to error...
TGSD: Topology-Guided State-Space Diffusion for EEG Spatial Super-Resolution
arXiv:2606.03998v1 Announce Type: cross Abstract: Low-density EEG is more suitable for wearable and IoT-based brain sensing, but sparse electrode sampling often lacks sufficient spatial information to characterize cross-regional neural activity. EEG spatial super-resolution aims to recover dense-channel EEG from sparse recordings, yet remains challenging because channel missingness typically occurs at the whole-channel level, spatiotemporal dependencies over the full electrode layout are...
TGSD: Topology-Guided State-Space Diffusion Framework for EEG Spatial Super-Resolution
arXiv:2606.03998v2 Announce Type: replace-cross Abstract: Low-density EEG is more suitable for wearable and IoT-based brain sensing, but sparse electrode sampling often lacks sufficient spatial information to characterize cross-regional neural activity. EEG spatial super-resolution aims to recover dense-channel EEG from sparse recordings, yet remains challenging because channel missingness typically occurs at the whole-channel level, spatiotemporal dependencies over the full electrode layout...
Everything Apple Announced at WWDC 2026
Apple held its annual Worldwide Developer Conference today. WWDC is the event in which the company uses its keynote address to announce lots of changes coming to its software platforms on iPhone, iPad, Apple Watch, and Mac. Apple has been chasing the artificial intelligence boom for the past few years, though many of its promised AI features across its platforms have been delayed or have not quite panned out into a fully-fledged suite.