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◬ AI & Machine Learning May 15, 2026
Defenses at Odds: Measuring and Explaining Defense Conflicts in Large Language Models

arXiv:2605.14514v1 Announce Type: new Abstract: Large Language Models (LLMs) deployed in high-stakes applications must simultaneously manage multiple risks, yet existing defenses are almost exclusivel…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
Exploiting LLM Agent Supply Chains via Payload-less Skills

arXiv:2605.14460v1 Announce Type: new Abstract: Autonomous agents powered by Large Language Models (LLMs) acquire external functionalities through third-party skills available in open marketplaces. Ad…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
MemLineage: Lineage-Guided Enforcement for LLM Agent Memory

arXiv:2605.14421v1 Announce Type: new Abstract: We introduce MemLineage, a defense for LLM agent memory that attaches both cryptographic provenance and LLM-mediated derivation lineage to every entry. …

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
The Great Pretender: A Stochasticity Problem in LLM Jailbreak

arXiv:2605.14418v1 Announce Type: new Abstract: "Oh-Oh, yes, I'm the great pretender. Pretending that I'm doing well. My need is such, I pretend too much..." summarizes the state in the area of jailbr…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
Model Forensics in AI-Native Wireless Networks: Taxonomy, Applications, and Case Study

arXiv:2605.14387v1 Announce Type: new Abstract: As artificial intelligence (AI) is increasingly embedded in wireless networks, models are becoming core components that influence signal processing, res…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model

arXiv:2605.14291v1 Announce Type: new Abstract: The rapid advancement of Large Vision-Language Models (LVLMs) is increasingly accompanied by unauthorized scraping and training on multimodal web data, …

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
Web Agents Should Adopt the Plan-Then-Execute Paradigm

arXiv:2605.14290v1 Announce Type: new Abstract: ReAct has become the default architecture across LLM agents, and many existing web agents follow this paradigm. We argue that it is the wrong default fo…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
On the (non-)resilience of encrypted controllers to covert attacks

arXiv:2605.14230v1 Announce Type: new Abstract: The security of networked control systems (NCS) is receiving increasing attention from both cyber-security and system-theoretic perspectives. The former…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
Characterizing AI-Assisted Bot Traffic in Darknet Data: Implications for ICS and IIoT Security

arXiv:2605.14209v1 Announce Type: new Abstract: The rise of automated scanning tools and AI assisted reconnaissance agents has significantly altered internet background traffic patterns, threatening t…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
DSTAN-Med: Dual-Channel Spatiotemporal Attention with Physiological Plausibility Filtering for False Data Injection Attack Detection in IoT-Based Medical Devices

arXiv:2605.14165v1 Announce Type: new Abstract: False data injection (FDI) attacks on Internet of Medical Things (IoMT) sensor streams falsify vital signs in transit, threatening patient safety and de…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
ExploitBench: A Capability Ladder Benchmark for LLM Cybersecurity Agents

arXiv:2605.14153v1 Announce Type: new Abstract: Exploitation is not a binary event. It is a ladder of acquiring progressive capabilities, from executing a single buggy line of code to taking full cont…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
Memory Forensics Techniques for Automated Detection and Analysis of Go Malware

arXiv:2605.14020v1 Announce Type: new Abstract: The Go programming language has become increasingly popular among malware developers due to its ability to produce statically linked, cross-platform exe…

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
AgentTrap: Measuring Runtime Trust Failures in Third-Party Agent Skills

arXiv:2605.13940v1 Announce Type: new Abstract: Third-party skills are becoming the package ecosystem for LLM agents. They package natural-language instructions, helper scripts, templates, documents, …

arXiv Security Read →
◬ AI & Machine Learning May 15, 2026
XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles

arXiv:2605.13922v1 Announce Type: new Abstract: During the last few years, the term Mechanistic Interpretability, a specific area, under the umbrella of explainable artificial intelligence (XAI), has …

arXiv Security Read →
◬ AI & Machine Learning May 14, 2026
Establishing AI and data sovereignty in the age of autonomous systems

When generative AI first moved from research labs into real-world business applications, enterprises made a tacit bargain: “Capability now, control later.” Feed your proprietary data into third-party …

MIT Tech Review AI Read →
◬ AI & Machine Learning May 14, 2026
Data readiness for agentic AI in financial services

Financial services companies have unique needs when it comes to business AI. They operate in one of the most highly regulated sectors while responding to external events that are updated by the second…

MIT Tech Review AI Read →
◬ AI & Machine Learning May 14, 2026
Unlocking asynchronicity in continuous batching
Hugging Face Read →
◬ AI & Machine Learning May 14, 2026
Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality
Hugging Face Read →
◬ AI & Machine Learning May 14, 2026
The shock of seeing your body used in deepfake porn

When Jennifer got a job doing research for a nonprofit in 2023, she ran her new professional headshot through a facial recognition program. She wanted to see if the tech would pull up the porn videos …

MIT Tech Review AI Read →
◬ AI & Machine Learning May 14, 2026
It's not the Language Model, it's the Tool: Deterministic Mediation for Scientific Workflows

arXiv:2605.13245v1 Announce Type: new Abstract: Language models can produce convincing scientific analyses, but repeated generations on the same data do not guarantee the same result. A researcher may…

arXiv AI Read →
◬ AI & Machine Learning May 14, 2026
Improving Code Translation with Syntax-Guided and Semantic-aware Preference Optimization

arXiv:2605.13229v1 Announce Type: new Abstract: LLMs have shown immense potential for code translation, yet they often struggle to ensure both syntactic correctness and semantic consistency. While pre…

arXiv AI Read →
◬ AI & Machine Learning May 14, 2026
An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing

arXiv:2605.13221v1 Announce Type: new Abstract: In cloud manufacturing, unmanned aerial vehicles (UAVs) can support both product collection and mobile edge computing (MEC). This joint operation forms …

arXiv AI Read →
◬ AI & Machine Learning May 14, 2026
Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning

arXiv:2605.13213v1 Announce Type: new Abstract: Multi-modal multi-agent systems (MM-MAS) have gained increasing attention for their capacity to enable complex reasoning and coordination across diverse…

arXiv AI Read →
◬ AI & Machine Learning May 14, 2026
Formal Conjectures: An Open and Evolving Benchmark for Verified Discovery in Mathematics

arXiv:2605.13171v1 Announce Type: new Abstract: As automated reasoning systems advance rapidly, there is a growing need for research-level formal mathematical problems to accurately evaluate their cap…

arXiv AI Read →
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