Empirical analysis of 444 iOS apps using dynamic traffic interception found 282 leaking LLM API keys across ten providers, with only 28% remediation after three months.
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In: Proceedings of the 2nd International Workshop on Software Health
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A cross-device token replay attack steals anonymous access tokens from Apple Intelligence and reuses them on different devices, bypassing usage limits despite privacy claims.
PluRule is a new multimodal multilingual benchmark showing that state-of-the-art vision-language models perform only marginally better than a trivial baseline at detecting specific rule violations in pluralistic online communities.
Researchers modeled 57 BIP episodes and identified four diachronic patterns—reflected-upon, discarded, self-preservation, and contradictory mediation—while proposing an awareness-based definition of breaks in presence.
Empirical analysis of 2,984 dormant-revived scientific OSS projects shows fixed inactivity thresholds are insufficient for classifying abandonment, with lifecycle archetypes providing better discrimination.
Many FOSS popularity metrics such as commits, downloads, and dependencies can be spoofed with low to moderate effort, supported by a documented large-scale npm sybil attack.
Ontology-grounded tool architectures eliminate hallucination of domain identifiers in industrial AI agents by enforcing semantic constraints through a typed relational configuration and three-operation interface.
Duon eliminates TLB shootdown and cache invalidation costs during page migration in flat-address hybrid memory systems by updating mappings in-place, delivering 3.87% IPC gains over prior methods.
Lamarckian evolution outperforms Darwinian on task performance alone but drops more sharply when morphological novelty is added, because reduced parent-offspring similarity weakens the value of inherited learned controllers.
xDECAF is an extensible, open-source framework for architecture-based data flow analysis with a constraint DSL, web editor, and a catalog of 26 example models for information security.
An open-sourced Unified Autonomy Stack fuses LiDAR, radar, vision and inertial data with sampling-based planning and control barrier functions to deliver resilient autonomy on aerial and ground robots in challenging real-world settings.
Merging one audio and three video deepfake detectors with voting-based fusion gives ~70–73% accuracy on FakeAVCeleb, with the audio branch performing at chance in the wild.
Shallow MLPs and dense CPGs outperform deeper MLPs and Actor-Critic RL in bounded robot control tasks with limited proprioception, with a Parameter Impact metric indicating extra RL parameters yield no performance gain over evolutionary strategies.
citing papers explorer
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Mind your key: An Empirical Study of LLM API Credential Leakage in iOS Apps
Empirical analysis of 444 iOS apps using dynamic traffic interception found 282 leaking LLM API keys across ten providers, with only 28% remediation after three months.
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Too Private to Tell: Practical Token Theft Attacks on Apple Intelligence
A cross-device token replay attack steals anonymous access tokens from Apple Intelligence and reuses them on different devices, bypassing usage limits despite privacy claims.
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PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media
PluRule is a new multimodal multilingual benchmark showing that state-of-the-art vision-language models perform only marginally better than a trivial baseline at detecting specific rule violations in pluralistic online communities.
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What's in a BIP? Exploring the Lived Experiences of Breaks In Presence
Researchers modeled 57 BIP episodes and identified four diachronic patterns—reflected-upon, discarded, self-preservation, and contradictory mediation—while proposing an awareness-based definition of breaks in presence.
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Beyond the Grave: An Empirical Study of Dormancy and Revival in Scientific Open-Source Software
Empirical analysis of 2,984 dormant-revived scientific OSS projects shows fixed inactivity thresholds are insufficient for classifying abandonment, with lifecycle archetypes providing better discrimination.
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How Reliable Are FOSS Popularity Metrics? Analyzing the Effort Required for Spoofing Common Software Popularity Metrics
Many FOSS popularity metrics such as commits, downloads, and dependencies can be spoofed with low to moderate effort, supported by a documented large-scale npm sybil attack.
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The Semantic Training Gap: Ontology-Grounded Tool Architectures for Industrial AI Agent Systems
Ontology-grounded tool architectures eliminate hallucination of domain identifiers in industrial AI agents by enforcing semantic constraints through a typed relational configuration and three-operation interface.
-
Efficient Page Migration in Hybrid Memory Systems
Duon eliminates TLB shootdown and cache invalidation costs during page migration in flat-address hybrid memory systems by updating mappings in-place, delivering 3.87% IPC gains over prior methods.
-
Limits of Lamarckian Evolution Under Pressure of Morphological Novelty
Lamarckian evolution outperforms Darwinian on task performance alone but drops more sharply when morphological novelty is added, because reduced parent-offspring similarity weakens the value of inherited learned controllers.
-
xDECAF: An Extensible Data Flow Diagram Analysis Framework for Information Security
xDECAF is an extensible, open-source framework for architecture-based data flow analysis with a constraint DSL, web editor, and a catalog of 26 example models for information security.
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The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy
An open-sourced Unified Autonomy Stack fuses LiDAR, radar, vision and inertial data with sampling-based planning and control barrier functions to deliver resilient autonomy on aerial and ground robots in challenging real-world settings.
-
Ensemble Deep Learning Approaches for AI-Altered Video Detection
Merging one audio and three video deepfake detectors with voting-based fusion gives ~70–73% accuracy on FakeAVCeleb, with the audio branch performing at chance in the wild.
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Benefits of Low-Cost Bio-Inspiration in the Age of Overparametrization
Shallow MLPs and dense CPGs outperform deeper MLPs and Actor-Critic RL in bounded robot control tasks with limited proprioception, with a Parameter Impact metric indicating extra RL parameters yield no performance gain over evolutionary strategies.
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