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◬ AI & Machine Learning Apr 02, 2026
Efficient DPF-based Error-Detecting Information-Theoretic Private Information Retrieval Over Rings

arXiv:2604.00411v1 Announce Type: new Abstract: Authenticated private information retrieval (APIR) is the state-of-the-art error-detecting private information retrieval (ED-PIR), using Distributed Poi…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
RAGShield: Provenance-Verified Defense-in-Depth Against Knowledge Base Poisoning in Government Retrieval-Augmented Generation Systems

arXiv:2604.00387v1 Announce Type: new Abstract: RAG systems deployed across federal agencies for citizen-facing services are vulnerable to knowledge base poisoning attacks, where adversaries inject ma…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Cybersecurity Risk Assessment for CubeSat Missions: Adapting Established Frameworks for Resource-Constrained Environments

arXiv:2604.00303v1 Announce Type: new Abstract: CubeSats have democratised access to space for universities, start-ups and emerging space nations, but the same design decisions that reduce cost and co…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
On the Necessity of Pre-agreed Secrets for Thwarting Last-minute Coercion: Vulnerabilities and Lessons From the Loki E-voting Protocol

arXiv:2604.00188v1 Announce Type: new Abstract: Coercion-resistance (CR) is a crucial security property in e-voting systems. It ensures that an attacker cannot compel a voter to vote in a specific way…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
NFC based inventory control system for secure and efficient communication

arXiv:2604.00181v1 Announce Type: new Abstract: This paper brings up this idea of using Near Field Communication (NFC) for inventory control system instead of using traditional barcodes. NFC because o…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Beyond Latency: A System-Level Characterization of MPC and FHE for PPML

arXiv:2604.00169v1 Announce Type: new Abstract: Privacy protection has become an increasing concern in modern machine learning applications. Privacy-preserving machine learning (PPML) has attracted gr…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Efficient Software Vulnerability Detection Using Transformer-based Models

arXiv:2604.00112v1 Announce Type: new Abstract: Detecting software vulnerabilities is critical to ensuring the security and reliability of modern computer systems. Deep neural networks have shown prom…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
When Labels Are Scarce: A Systematic Mapping of Label-Efficient Code Vulnerability Detection

arXiv:2604.00079v1 Announce Type: new Abstract: Machine-learning-based code vulnerability detection (CVD) has progressed rapidly, from deep program representations to pretrained code models and LLM-ce…

arXiv Security Read →
◬ AI & Machine Learning Apr 02, 2026
Cybercrime as a Service: A Scoping Review

arXiv:2604.00063v1 Announce Type: new Abstract: Cloud computing has drastically altered the ways in which it is possible to deliver information technologies in a service-led structure, however, this h…

arXiv Security Read →
◬ AI & Machine Learning Apr 01, 2026
datasette-llm 0.1a6

Release: datasette-llm 0.1a6 The same model ID no longer needs to be repeated in both the default model and allowed models lists - setting it as a default model automatically adds it to the allowed mo…

Simon Willison Read →
◬ AI & Machine Learning Apr 01, 2026
datasette-enrichments-llm 0.2a1

Release: datasette-enrichments-llm 0.2a1 The actor who triggers an enrichment is now passed to the llm.mode(... actor=actor) method. #3 Tags: enrichments , llm , datasette

Simon Willison Read →
◬ AI & Machine Learning Apr 01, 2026
Holo3: Breaking the Computer Use Frontier
Hugging Face Read →
◬ AI & Machine Learning Apr 01, 2026
Cybersecurity M&A Roundup: Cyber Giants Strengthen AI Security Offerings - Infosecurity Magazine

Cybersecurity M&A Roundup: Cyber Giants Strengthen AI Security Offerings Infosecurity Magazine

Infosecurity Magazine Read →
◬ AI & Machine Learning Apr 01, 2026
The latest AI news we announced in March 2026

Here are Google’s latest AI updates from March 2026

Google AI Read →
◬ AI & Machine Learning Apr 01, 2026
We’re creating a new satellite imagery map to help protect Brazil’s forests.

Google partnered with the Brazilian government on a satellite imagery map to help protect the country’s forests.

Google AI Read →
◬ AI & Machine Learning Apr 01, 2026
A CIO’s Playbook for Enterprise AI Deployment in 2026 and Beyond - Cybersecurity Insiders

A CIO’s Playbook for Enterprise AI Deployment in 2026 and Beyond Cybersecurity Insiders

Cybersecurity Insiders Read →
◬ AI & Machine Learning Apr 01, 2026
Predicting When RL Training Breaks Chain-of-Thought Monitorability

Crossposted from the DeepMind Safety Research Medium Blog . Read our full paper about this topic by Max Kaufmann, David Lindner, Roland S. Zimmermann, and Rohin Shah. Overseeing AI agents by reading t…

AI Alignment Forum Read →
◬ AI & Machine Learning Apr 01, 2026
The gig workers who are training humanoid robots at home

When Zeus, a medical student living in a hilltop city in central Nigeria, returns to his studio apartment from a long day at the hospital, he turns on his ring light, straps his iPhone to his forehead…

MIT Tech Review AI Read →
◬ AI & Machine Learning Apr 01, 2026
Falcon Perception
Hugging Face Read →
◬ AI & Machine Learning Apr 01, 2026
FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration

arXiv:2603.29557v1 Announce Type: new Abstract: Scientific idea generation (SIG) is critical to AI-driven autonomous research, yet existing approaches are often constrained by a static retrieval-then-…

arXiv AI Read →
◬ AI & Machine Learning Apr 01, 2026
Learning to Generate Formally Verifiable Step-by-Step Logic Reasoning via Structured Formal Intermediaries

arXiv:2603.29500v1 Announce Type: new Abstract: Large language models (LLMs) have recently demonstrated impressive performance on complex, multi-step reasoning tasks, especially when post-trained with…

arXiv AI Read →
◬ AI & Machine Learning Apr 01, 2026
Metriplector: From Field Theory to Neural Architecture

arXiv:2603.29496v1 Announce Type: new Abstract: We present Metriplector, a neural architecture primitive in which the input configures an abstract physical system--fields, sources, and operators--and …

arXiv AI Read →
◬ AI & Machine Learning Apr 01, 2026
Structural Compactness as a Complementary Criterion for Explanation Quality

arXiv:2603.29491v1 Announce Type: new Abstract: In the evaluation of attribution quality, the quantitative assessment of explanation legibility is particularly difficult, as it is influenced by varyin…

arXiv AI Read →
◬ AI & Machine Learning Apr 01, 2026
ELT-Bench-Verified: Benchmark Quality Issues Underestimate AI Agent Capabilities

arXiv:2603.29399v1 Announce Type: new Abstract: Constructing Extract-Load-Transform (ELT) pipelines is a labor-intensive data engineering task and a high-impact target for AI automation. On ELT-Bench,…

arXiv AI Read →
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