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◬ AI & Machine Learning Jun 05, 2026
Bitcoin After Block Rewards

arXiv:2606.05503v1 Announce Type: new Abstract: Bitcoin's block reward is scheduled to decline to zero, raising concerns about whether the network can remain secure once miners rely solely on transact…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation

arXiv:2606.05476v1 Announce Type: new Abstract: Security misconfigurations remain a leading cause of OS-level compromise, and manually keeping systems compliant with standards like Defense Information…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
CRESS: Quantifying Vulnerabilities of Attack Scenarios in Hardware Reverse Engineering

arXiv:2606.05459v1 Announce Type: new Abstract: The safety, security, and reliability of microelectronic systems depend on a trustworthy, secured supply chain and design flow. Globally distributed sup…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Policy-Compliant Cloud Storage Systems

arXiv:2606.05423v1 Announce Type: new Abstract: Privacy regulations such as the General Data Protection Regulation (GDPR) impose strict requirements on how personal data is stored, processed, and audi…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
A formal framework for the economic security of DeFi compositions

arXiv:2606.05418v1 Announce Type: new Abstract: Decentralized Finance (DeFi) services are usually constructed by composing a variety of smart contracts. While composability is a key driver of the succ…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Willing but Unable: Separating Refusal from Capability in Code LLMs via Abliteration

arXiv:2606.05396v1 Announce Type: new Abstract: Producing a labeled vulnerable code at scale is a recurring obstacle for learning-based vulnerability detection: mined corpora carry substantial label n…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
From Attack Simulation to SIEM Rule: Deterministic Detection-as-Code Synthesis with Probe-Level Traceability

arXiv:2606.05252v1 Announce Type: new Abstract: Security teams routinely simulate attacks against their own systems to check whether their monitoring would catch a real intruder. These Breach-and-Atta…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation

arXiv:2606.05241v1 Announce Type: new Abstract: Public benchmarks enable fair and reproducible evaluation of LLM reasoning, but they become fragile for deep research agents that actively search the we…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Domain-Conditioned Safety in Frontier Computer-Using Agents: A 793-Episode Browser Benchmark, a Coding-Domain Cross-Reference, and a Reproducibility Audit of Recent Red-Teaming

arXiv:2606.05233v1 Announce Type: new Abstract: Recent computer-using-agent (CUA) red-teaming papers report prompt-injection attack success rates (ASR) of 42-98%, but these headline numbers cluster on…

arXiv Security Read →
◬ AI & Machine Learning Jun 05, 2026
Gartner SRM 2026 Signals a Cybersecurity Shift From Prevention to Resilience - TechRepublic

Gartner SRM 2026 Signals a Cybersecurity Shift From Prevention to Resilience TechRepublic

TechRepublic Read →
◬ AI & Machine Learning Jun 04, 2026
Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI
Hugging Face Read →
◬ AI & Machine Learning Jun 04, 2026
Anthropic Mythos AI Security Breakthroughs of 2026 - TechnoSports Media Group

Anthropic Mythos AI Security Breakthroughs of 2026 TechnoSports Media Group

TechnoSports Media Group Read →
◬ AI & Machine Learning Jun 04, 2026
Designing the hf CLI as an agent-optimized way to work with the Hub
Hugging Face Read →
◬ AI & Machine Learning Jun 04, 2026
EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios
Hugging Face Read →
◬ AI & Machine Learning Jun 04, 2026
How to Fine-Tune Nemotron 3.5 ASR for Your Language, Domain, or Accent
Hugging Face Read →
◬ AI & Machine Learning Jun 04, 2026
How courts are coping with a flood of AI-generated lawsuits

Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. Many of them can’t afford to hire a law…

MIT Tech Review AI Read →
◬ AI & Machine Learning Jun 04, 2026
Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining
Hugging Face Read →
◬ AI & Machine Learning Jun 04, 2026
BiNSGPS: Geometry Problem Solving via Bidirectional Neuro-Symbolic Interaction

arXiv:2606.04648v1 Announce Type: new Abstract: Geometry problem solving poses distinct challenges in artificial intelligence. Existing approaches typically fall into two paradigms: symbolic methods, …

arXiv AI Read →
◬ AI & Machine Learning Jun 04, 2026
MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models

arXiv:2606.04627v1 Announce Type: new Abstract: Mobile agents are increasingly expected to operate everyday applications from screenshots and language goals, where reliable control requires reasoning …

arXiv AI Read →
◬ AI & Machine Learning Jun 04, 2026
A Normative Intermediate Representation for ASP-Based Compliance Reasoning

arXiv:2606.04619v1 Announce Type: new Abstract: We propose MONIR, a Modalized-Output Normative Intermediate Representation for ASP-based compliance reasoning. Its core fragment has a staged operationa…

arXiv AI Read →
◬ AI & Machine Learning Jun 04, 2026
Parthenon Law: A Self-Evolving Legal-Agent Framework

arXiv:2606.04602v1 Announce Type: new Abstract: As agents grow more capable, legal-domain LLM agents promise to turn document-heavy matters into reviewable work products -- yet reliable deployment fac…

arXiv AI Read →
◬ AI & Machine Learning Jun 04, 2026
Plan First, Judge Later, Run Better: A DMAIC-Inspired Agentic System for Industrial Anomaly Detection

arXiv:2606.04599v1 Announce Type: new Abstract: Large language model (LLM) agents have shown promise in automating complex data-analysis workflows, but their reliable deployment remains challenging in…

arXiv AI Read →
◬ AI & Machine Learning Jun 04, 2026
Learning Admissible Heuristics via Cost Partitioning

arXiv:2606.04597v1 Announce Type: new Abstract: Admissible heuristics are essential for optimal planning, yet learning them remains challenging due to the risk of overestimation. Cost partitioning com…

arXiv AI Read →
◬ AI & Machine Learning Jun 04, 2026
SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification

arXiv:2606.04579v1 Announce Type: new Abstract: While Process Reward Models (PRMs) have achieved remarkable success in mathematical reasoning, their application in complex scientific domains-such as b…

arXiv AI Read →
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