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◬ AI & Machine Learning Jun 29, 2026
Automated Repeatable Adversary Threat Emulation with Effects Language (EL)

arXiv:2510.06420v2 Announce Type: replace Abstract: The emulation of multi-step attacks attributed to advanced persistent threats is valuable for training defenders and evaluating defense tools. In th…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
PRISON: Unmasking the Criminal Potential of Large Language Models

arXiv:2506.16150v4 Announce Type: replace Abstract: As large language models (LLMs) advance, concerns about their misconduct in complex social contexts intensify. Existing research overlooked the syst…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems

arXiv:2505.23847v4 Announce Type: replace Abstract: Large language models (LLMs) are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster re…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain

arXiv:2504.16116v4 Announce Type: replace Abstract: The Web3 ecosystem, underpinned by cryptographic primitives and decentralized consensus, represents a high-stakes environment where software vulnera…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Cyber security of OT networks: A tutorial and overview

arXiv:2502.14017v3 Announce Type: replace Abstract: This manuscript explores the cybersecurity challenges of Operational Technology (OT) networks, focusing on their critical role in industrial environ…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
A Plug-and-Play Method for Improving Imperceptibility and Capacity in Practical Generative Text Steganography

arXiv:2412.19652v5 Announce Type: replace Abstract: Linguistic steganography embeds secret information into seemingly innocuous text to safeguard privacy under surveillance. Generative linguistic steg…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
How Humans, Bots, and Agents Communicate About Vulnerabilities in Pull Requests

arXiv:2606.28125v1 Announce Type: cross Abstract: Developers may reference vulnerabilities in pull request discussions through both explicit identifiers, such as CVEs or GHSAs, and implicit security-r…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Quantum Multi-Party Threshold Private Set Intersection with Explicit Cardinality Testing

arXiv:2606.27996v1 Announce Type: cross Abstract: Threshold private set intersection (TPSI) allows parties to reveal their intersection only when its cardinality reaches a prescribed threshold. Existi…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Verifiable and Collusion-Resistant Multi-Party Quantum Private Set Operations

arXiv:2606.27994v1 Announce Type: cross Abstract: Threshold private set intersection (TPSI) allows parties to reveal their intersection only when its cardinality reaches a prescribed threshold. Existi…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Transversal Difference Numbers in Finite Abelian Quotients

arXiv:2606.27961v1 Announce Type: cross Abstract: Given \(H\leq G\) finite abelian groups, a transversal \(T\subseteq G\) for \(G/H\) has fixed size \(|G/H|\), but its ambient difference support \(D(T…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
RAMSES: Secure high-performance computing for sensitive data

arXiv:2606.27919v1 Announce Type: cross Abstract: Traditionally, the architecture of high-performance computing (HPC) systems is tailored for speed, while highly secure computer systems must sacrifice…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation

arXiv:2606.27736v1 Announce Type: cross Abstract: The rapid spread of fake news poses increasing threats to information ecosystems, especially as AI-generated misinformation under Generative Engine Op…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Room for Error: Large-Scale Simulation of Over-the-Air Acoustic Attacks

arXiv:2606.27701v1 Announce Type: cross Abstract: While voice control is rapidly becoming a ubiquitous vector of human-AI communication, the risks facing these systems remain poorly understood. This i…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
What Was That Again? Certified Robustness for Automatic Speech Recognition

arXiv:2606.27698v1 Announce Type: cross Abstract: Automatic Speech Recognition systems are notoriously both sensitive to adversarial and benign perturbations. While this has been repeatedly demonstrat…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Halt Fast! Early Stopping for Certified Robustness

arXiv:2606.27694v1 Announce Type: cross Abstract: Randomized Smoothing (RS) provides rigorous robustness guarantees for neural networks without architectural constraints, yet its adoption is limited b…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Productionized Fairness Measurement Under Privacy Constraints

arXiv:2606.27558v1 Announce Type: cross Abstract: Fairness measurements in the form of disaggregated evaluations often rely on demographic signals that are legally constrained or culturally sensitive.…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models

arXiv:2606.28153v1 Announce Type: new Abstract: Jailbreak attacks bypass LLM safety alignment, yet their mechanisms remain poorly understood. We provide evidence that attacks do not comprehensively el…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
GTI-mSEMP Framework : A Proposed Framework to Stimulate Malware Propagation with Inclusion of Attacker-Defender Strategy

arXiv:2606.28079v1 Announce Type: new Abstract: The rapid proliferation of automated, multi-vector malware threats poses a significant risk to heterogeneous, resource constrained cyber-physical networ…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
ToolPrivacyBench: Benchmarking Purpose-Bound Privacy in Tool-Using LLM Agents

arXiv:2606.28061v1 Announce Type: new Abstract: Large language models (LLMs) have increasingly moved from standalone text generation systems to agents that invoke external tools, access environments, …

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Ghost Without Shell: Measuring Non-Interactive SSH Attacks on Honeypots

arXiv:2606.28006v1 Announce Type: new Abstract: Cyber deception research has focused on improving honeypot deception capabilities to increase attacker engagement and extend their interactions to colle…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
AdvancedShelLM: A Stateful Multi-Agent LLM Honeypot for SSH Deception

arXiv:2606.27990v1 Announce Type: new Abstract: LLM-based SSH honeypots can generate believable interactions, but evaluations indicate they remain somewhat identifiable to determined attackers, indica…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
SHARD: cell-keyed residual splitting for alignment-resistant private dense retrieval

arXiv:2606.27976v1 Announce Type: new Abstract: Dense embeddings underpin semantic search and RAG, yet a leaked vector store hands much of the underlying text back to whoever holds it. The attacks tha…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Decoys Cannot Go Everywhere: Mapping the Deception Surface in MITRE ATT&CK

arXiv:2606.27966v1 Announce Type: new Abstract: Cyber deception research often assumes that a decoy can be placed wherever there is attacker behavior. This work tests that assumption across MITRE ATT&…

arXiv Security Read →
◬ AI & Machine Learning Jun 29, 2026
Agentic AI-Powered Re-Identification: An Emerging, Scalable Threat to Mobility Microdata Privacy

arXiv:2606.27936v1 Announce Type: new Abstract: The widespread collection of fine-grained location data by commercial data brokers creates a re-identification risk that is not widely recognised by the…

arXiv Security Read →
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