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◬ AI & Machine Learning May 19, 2026
A Red Teaming Framework for Evaluating Robustness of AI-enabled Security Orchestration, Automation, and Response Systems

arXiv:2605.17075v1 Announce Type: new Abstract: AI-enabled Security Orchestration, Automation, and Response (SOAR) systems increasingly employ autonomous agents for cyber defense, yet their resilience…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
The Range Shrinks, the Threat Remains: Re-evaluating LLM Package Hallucinations on the 2026 Frontier-Model Cohort

arXiv:2605.17062v1 Announce Type: new Abstract: Spracklen et al. (USENIX Security '25) showed that code-generating large language models hallucinate package names that do not exist on PyPI or npm at r…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
quantum-safe: Bridging the Post-Quantum Production Gap with a Hybrid-by-Default Python Cryptography Library

arXiv:2605.17061v1 Announce Type: new Abstract: The August 2024 finalisation of FIPS 203 (ML-KEM), FIPS 204 (ML-DSA), and FIPS 205 (SLH-DSA) closed the algorithmic gap in post-quantum cryptography (PQ…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Securing LLM Agents Need Intent-to-Execution Integrity

arXiv:2605.16976v1 Announce Type: new Abstract: This position paper argues that securing LLM agents requires first defining an end-to-end correctness property that specifies when an agent's execution …

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
A Lightweight QR-assisted Zero-knowledge Identification Protocol For Secure Authentication

arXiv:2605.16912v1 Announce Type: new Abstract: This study proposes a lightweight Zero-Knowledge authentication model supported by QR codes. The approach is based on the Schnorr authentication protoco…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Universal Graph Backdoor Defense: A Feature-based Homophily Perspective

arXiv:2605.16815v1 Announce Type: new Abstract: Graph neural networks (GNNs) have achieved remarkable success in relational learning. However, their vulnerability to graph backdoor attacks (GBAs) pose…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Stop Starving or Stuffing Me: Boosting Firmware Fuzzing Efficiency with On-demand Input Delivery

arXiv:2605.16798v1 Announce Type: new Abstract: Firmware fuzzing has gained attention for identifying firmware bugs. However, current approaches often directly integrate fuzzing tools for general soft…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Watermarks Attack Watermarks: Re-Watermarking as a Generic Removal Strategy

arXiv:2605.16796v1 Announce Type: new Abstract: Watermarking combines an imperceptible change to an input image that will trigger a detector, to assert provenance and protect intellectual property. Th…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT

arXiv:2605.16707v1 Announce Type: new Abstract: The rapid evolution of digital health technologies is redefining healthcare services worldwide. The integration of wireless communication and Internet-e…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Read This Paper to Get $50 Million:* An Analysis of Mobile Messaging Scams Using Reddit Data

arXiv:2605.16656v1 Announce Type: new Abstract: Mobile messaging scams--fraudulent messages delivered over SMS and other mobile applications--have become a persistent and evolving security threat, yet…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Public-Decay Homomorphic State Space Models for Private Sequence Inference

arXiv:2605.16647v1 Announce Type: new Abstract: Fully homomorphic encryption (FHE) changes sequence-model design because rotations, encrypted products, ciphertext materialization, multiplicative depth…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
\textsc{PrivScope}: Task-scoped Disclosure Control for Hybrid Agentic Systems

arXiv:2605.16630v1 Announce Type: new Abstract: Hybrid local--cloud agents enrich user requests with context from persistent working state before delegating capability-intensive subtasks to a cloud la…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
SLEIGHT-Bench: A Benchmark of Evasion Attacks Against Agent Monitors

arXiv:2605.16626v1 Announce Type: new Abstract: Since autonomous coding agents generate complex behaviors at high-volume, we may want to use other LLMs to monitor actions to reduce the risk from dange…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
STRIKE: A Structured Taxonomy of Cybercrime for Risk, Impact, Knowledge, and Evolution

arXiv:2605.16589v1 Announce Type: new Abstract: Cybercrime has grown exponentially in both scale and sophistication, posing significant threats. As attack methods evolve rapidly, traditional classific…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
A Method for Securely Transmitting Large Video Files Using Chaotic Compression and Encryption

arXiv:2605.16563v1 Announce Type: new Abstract: Conventional techniques for compression and encryption are frequently laborious and resource-intensive, rendering them inappropriate for real-time appli…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Post-Quantum Discovery as a Governance Capability: Evidence-Based Cryptographic Visibility and Exposure Prioritisation in a Critical Service Provider

arXiv:2605.16549v1 Announce Type: new Abstract: Post Quantum Cryptography (PQC) readiness is increasingly constrained not by algorithm availability, but by cryptographic visibility, dependency complex…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI

arXiv:2605.16471v1 Announce Type: new Abstract: Generative AI systems are increasingly used not only to produce content but also to retrieve data, invoke tools, and execute actions. This work examines…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Asking Back: Interaction-Layer Antidistillation Watermarks

arXiv:2605.16462v1 Announce Type: new Abstract: Detecting unauthorized knowledge distillation from a deployed LLM API is hard because the defender controls neither the attacker's training pipeline nor…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
MalwarePT: A Binary-Level Foundation Model for Malware Analysis

arXiv:2605.16455v1 Announce Type: new Abstract: Automated malware analysis increasingly relies on machine learning, yet most existing methods remain task-specific and depend on handcrafted features or…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
The End of Trust: How Agentic AI Breaks Security Assumptions

arXiv:2605.16436v1 Announce Type: new Abstract: For decades, the security of digital interaction has rested on an unacknowledged economic constraint. Attackers faced a tradeoff between the fidelity of…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Detecting Verbatim LLM Copy-Paste in Homework

arXiv:2605.16336v1 Announce Type: new Abstract: Large language models (LLMs) have made fluent essay writing, code drafting, and quiz answering instantly available to students at every level, from seco…

arXiv Security Read →
◬ AI & Machine Learning May 19, 2026
Here’s why Elon Musk lost his suit against OpenAI

On Monday, the jury in Musk v. Altman dealt Elon Musk a major blow—reaching a unanimous advisory verdict that he had sued OpenAI too late and, as a result, his claims are barred by the applicable stat…

MIT Tech Review AI Read →
◬ AI & Machine Learning May 19, 2026
Our evaluation of Claude Mythos Preview’s cyber capabilities - The AI Security Institute (AISI)

Our evaluation of Claude Mythos Preview’s cyber capabilities The AI Security Institute (AISI)

The AI Security Institute (AISI) Read →
◬ AI & Machine Learning May 18, 2026
Inside Anduril and Meta’s quest to make smart glasses for warfare

The defense-tech company Anduril has shared new details about the augmented-reality headset for the military it’s prototyping with Meta, including a vision for ordering drone strikes via eye-tracking …

MIT Tech Review AI Read →
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