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◬ AI & Machine Learning Apr 16, 2026
Look One Step Ahead: Forward-Looking Incentive Design with Strategic Privacy for Proactive Service Provisioning over Air-Ground Integrated Edge Networks

arXiv:2604.13635v1 Announce Type: cross Abstract: In air-ground integrated networks (AGINs), unmanned aerial vehicles (UAVs) provide on-demand edge services to ground vehicles. Realizing this vision r…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI

arXiv:2604.13348v1 Announce Type: cross Abstract: We introduce CONCORD, a privacy-aware asynchronous assistant-to-assistant (A2A) framework that leverages collaboration between proactive speech-based …

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Sequential Change Detection for Multiple Data Streams with Differential Privacy

arXiv:2604.13274v1 Announce Type: cross Abstract: Sequential change-point detection seeks to rapidly identify distributional changes in streaming data while controlling false alarms. Existing multi-st…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction

arXiv:2604.13153v1 Announce Type: cross Abstract: 3D Gaussian Splatting (3DGS) has recently enabled highly photorealistic 3D reconstruction from casually captured multi-view images. However, this acce…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Temporary Power Adjusting Withholding Attack

arXiv:2604.14135v1 Announce Type: new Abstract: We consider the block withholding attacks on pools, more specifically the state-of-the-art Power Adjusting Withholding (PAW) attack. We propose a genera…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
KindHML: formal verification of smart contracts based on Hennessy-Milner logic

arXiv:2604.14038v1 Announce Type: new Abstract: Smart contracts deployed on blockchains such as Ethereum routinely manage large amounts of assets, making their security critical. Empirical studies sho…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities

arXiv:2604.13955v1 Announce Type: new Abstract: According to constructivist theory, students learn software security more effectively when examples are grounded in their own code. Generic examples oft…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
MCPThreatHive: Automated Threat Intelligence for Model Context Protocol Ecosystems

arXiv:2604.13849v1 Announce Type: new Abstract: The rapid proliferation of Model Context Protocol (MCP)-based agentic systems has introduced a new category of security threats that existing frameworks…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
RealVuln: Benchmarking Rule-Based, General-Purpose LLM, and Security-Specialized Scanners on Real-World Code

arXiv:2604.13764v1 Announce Type: new Abstract: How do security scanners perform on real-world code? We present RealVuln, the first open-source benchmark comparing Rule-Based SAST, General-Purpose LLM…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Where Trust Fails: Mapping Location-Data Provenance Risks in Europe

arXiv:2604.13668v1 Announce Type: new Abstract: European digital sovereignty and security increasingly depends on whether high-impact decisions can be grounded in location evidence that remains credib…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
SafeHarness: Lifecycle-Integrated Security Architecture for LLM-based Agent Deployment

arXiv:2604.13630v1 Announce Type: new Abstract: The performance of large language model (LLM) agents depends critically on the execution harness, the system layer that orchestrates tool use, context m…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Secure and Privacy-Preserving Vertical Federated Learning

arXiv:2604.13474v1 Announce Type: new Abstract: We propose a novel end-to-end privacy-preserving framework, instantiated by three efficient protocols for different deployment scenarios, covering both …

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Threat Modeling and Attack Surface Analysis of IoT-Enabled Controlled Environment Agriculture Systems

arXiv:2604.13308v1 Announce Type: new Abstract: The United States designates Food and Agriculture as one of sixteen critical infrastructure sectors, yet no mandatory cybersecurity requirements exist f…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Honeypot Protocol

arXiv:2604.13301v1 Announce Type: new Abstract: Trusted monitoring, the standard defense in AI control, is vulnerable to adaptive attacks, collusion, and strategic attack selection. All of these explo…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Can Agents Secure Hardware? Evaluating Agentic LLM-Driven Obfuscation for IP Protection

arXiv:2604.13298v1 Announce Type: new Abstract: The globalization of integrated circuit (IC) design and manufacturing has increased the exposure of hardware intellectual property (IP) to untrusted sta…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Neural Stringology Based Cryptanalysis of EChaCha20

arXiv:2604.13289v1 Announce Type: new Abstract: Modern stream ciphers rely on strong diffusion and pseudorandom keystream generation (PKG) to resist cryptanalysis. While conventional evaluation method…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Conflict-Aware Robust Design for Covert Wireless Communications

arXiv:2604.13122v1 Announce Type: new Abstract: Covert wireless communication aims to establish a reliable link while hiding the transmission from an adversary. In wireless settings, uncertainty plays…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
Robust Covert Quantum Communication under Bounded Channel Uncertainty

arXiv:2604.13116v1 Announce Type: new Abstract: Covert quantum communication is usually analyzed under idealized assumptions that channel parameters, such as transmissivity and background noise, are p…

arXiv Security Read →
◬ AI & Machine Learning Apr 16, 2026
datasette.io news preview

Tool: datasette.io news preview The datasette.io website has a news section built from this news.yaml file in the underlying GitHub repository. The YAML format looks like this: - date: 2026-04-15 body…

Simon Willison Read →
◬ AI & Machine Learning Apr 15, 2026
datasette-export-database 0.3a1

Release: datasette-export-database 0.3a1 This plugin was using the ds_csrftoken cookie as part of a custom signed URL, which needed upgrading now that Datasette 1.0a27 no longer sets that cookie . Tag…

Simon Willison Read →
◬ AI & Machine Learning Apr 15, 2026
datasette 1.0a27

Release: datasette 1.0a27 Two major changes in this new Datasette alpha. I covered the first of those in detail yesterday - Datasette no longer uses Django-style CSRF form tokens, instead using modern…

Simon Willison Read →
◬ AI & Machine Learning Apr 15, 2026
Inside VAKRA: Reasoning, Tool Use, and Failure Modes of Agents
Hugging Face Read →
◬ AI & Machine Learning Apr 15, 2026
Gemini 3.1 Flash TTS: the next generation of expressive AI speech

Gemini 3.1 Flash TTS is now available across Google products.

Google AI Read →
◬ AI & Machine Learning Apr 15, 2026
Quoting John Gruber

The real goldmine isn’t that Apple gets a cut of every App Store transaction. It’s that Apple’s platforms have the best apps, and users who are drawn to the best apps are thus drawn to the iPhone, Mac…

Simon Willison Read →
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