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◬ AI & Machine Learning Jun 08, 2026
On the Incentive Compatibility of Block Propagation in Bitcoin

arXiv:2606.06860v1 Announce Type: new Abstract: Bitcoin is permissionless and does not rely on any central administrator, which gives it strong censorship resistance. At the same time, it is important…

arXiv Security Read →
◬ AI & Machine Learning Jun 08, 2026
AMD-FCG: An Enhanced Function Call Graph Dataset with Integrated Topological Features for Malware Detection and Classification

arXiv:2606.06815v1 Announce Type: new Abstract: As malware illustrates a complex structure and behavior, detection of these has been a significant challenge in the domain of cybersecurity along with r…

arXiv Security Read →
◬ AI & Machine Learning Jun 08, 2026
What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media

arXiv:2606.06784v1 Announce Type: new Abstract: Public social media posts can reveal private information through weak cues scattered across text, images, or metadata. Such leakage is often cumulative …

arXiv Security Read →
◬ AI & Machine Learning Jun 08, 2026
The Custody Envelope Threshold: Authority-Scaled Admission of External Artifacts in Institutional Infrastructure

arXiv:2606.06767v1 Announce Type: new Abstract: Modern infrastructure depends on externally maintained artifacts such as package-registry dependencies, CI/CD actions, container images, Terraform provi…

arXiv Security Read →
◬ AI & Machine Learning Jun 08, 2026
AgileOS: A GPU Operating System Layer for Protected CUDA Services

arXiv:2606.06697v1 Announce Type: new Abstract: Modern GPU applications increasingly interact with storage systems, network devices, vendor libraries, and GPU-resident services rather than executing o…

arXiv Security Read →
◬ AI & Machine Learning Jun 08, 2026
MalTree: Tracing Malware Evolution from Embeddings at Scale

arXiv:2606.06570v1 Announce Type: new Abstract: Malware detection remains largely reactive: machine learning models trained on known samples degrade as threats evolve. Understanding evolutionary relat…

arXiv Security Read →
◬ AI & Machine Learning Jun 08, 2026
Subtle Injection for Ground-truth Inference of LLM Training Data

arXiv:2606.06502v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly trained on scraped web corpora without authorisation, content owners require forensic methods to prove …

arXiv Security Read →
◬ AI & Machine Learning Jun 08, 2026
Enhancing Malware Detection with Generative AI: Using Variational Autoencoders to Boost Machine Learning Classifiers' Performance

arXiv:2606.06501v1 Announce Type: new Abstract: The advancement of malware poses obstacles for cybersecurity, necessitating the development of advanced detection techniques. This paper proposes an app…

arXiv Security Read →
◬ AI & Machine Learning Jun 07, 2026
Amazing Digital Dentures (a failed project)
Hugging Face Read →
◬ AI & Machine Learning Jun 07, 2026
Tentative Cyber Threats to the FIFA World Cup 2026 - Cybersecurity Insiders

Tentative Cyber Threats to the FIFA World Cup 2026 Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning Jun 07, 2026
What Are the Most Dangerous Cybersecurity Threats to Your Website in 2026? - Cybersecurity Insiders

What Are the Most Dangerous Cybersecurity Threats to Your Website in 2026? Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning Jun 07, 2026
Sponsors especially OPENAI CODEX voucher usage for codex - openAI challange
Hugging Face Read →
◬ AI & Machine Learning Jun 07, 2026
Five labs, five minds: building a multi-model finance drama on small models
Hugging Face Read →
◬ AI & Machine Learning Jun 06, 2026
SoCRATES: Towards Reliable Automated Evaluation of Proactive LLM Mediation across Domains and Socio-cognitive Variations

arXiv:2606.05563v1 Announce Type: new Abstract: Evaluating LLM mediators remains challenging, as mediation unfolds as a real-time trajectory shaped by disputants' shifting emotions, intentions, and co…

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
Individual Gain, Collective Loss: Metacognitive Adaptation in AI-Assisted Creativity

arXiv:2606.05532v1 Announce Type: new Abstract: Recent studies reveal a paradox: AI enhances individual creative outputs while reducing collective diversity. Current explanations -- cognitive offloadi…

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
When Should We Protect AI? A Precautionary Framework for Consciousness Uncertainty

arXiv:2606.05528v1 Announce Type: new Abstract: Existing frameworks assess whether AI systems might be conscious but provide no guidance on what to do with that assessment. We address this gap with a …

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
SciVisAgentSkills: Design and Evaluation of Agent Skills for Scientific Data Analysis and Visualization

arXiv:2606.05525v1 Announce Type: new Abstract: Recent advances in agentic visualization have enabled the translation of natural language into executable scientific visualization (SciVis) workflows. W…

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
EpiEvolve: Self-Evolving Agents for Streaming Pandemic Forecasting under Regime Shifts

arXiv:2606.05513v1 Announce Type: new Abstract: Epidemic LLM forecasters are usually trained and evaluated as static supervised models, whereas operational pandemic forecasting is a streaming process …

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
Severity-Aware Curriculum Learning with Multi-Model Response Selection for Medical Text Generation

arXiv:2606.05510v1 Announce Type: new Abstract: Telehealth systems have become increasingly important for delivering accessible and timely medical information. Existing large language models often str…

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces

arXiv:2606.05464v1 Announce Type: new Abstract: Verifiable reward training has improved mathematical and coding reasoning, but these domains capture only part of step-by-step decision making. Many rea…

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
PSEBench: A Controllable and Verifiable Benchmark for Evaluating LLMs in Patient Safety Event Triage

arXiv:2606.05463v1 Announce Type: new Abstract: Patient safety event triage, determining whether a clinical event is reportable under jurisdiction-specific policy, is a high-stakes task typically perf…

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety

arXiv:2606.05461v1 Announce Type: new Abstract: Safety standards for ML-based autonomous driving specify the kind of evidence an assurance case must contain (directed cause-and-effect chains, quantifi…

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
Insurance of Agentic AI

arXiv:2606.05449v1 Announce Type: new Abstract: Agentic artificial intelligence (AI) systems are transforming the risk landscape by extending beyond information generation to autonomous planning, tool…

arXiv AI Read →
◬ AI & Machine Learning Jun 06, 2026
Brick-Composer: Using MLLMs for Assembly with Diverse Bricks

arXiv:2606.05445v1 Announce Type: new Abstract: We dream of AI agents that can read arbitrary designs and construct real-world objects from reusable building blocks. As a first step toward this vision…

arXiv AI Read →
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