Security & Cryptography · Computer Science & AI
Cryptography & Security
The newest papers in Cryptography & Security that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
1,372 papers, from 4 September 2026 to 5 November 2026: 1,372 arXiv preprints.
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Newest papers, page 31
Beyond FAIR: A Fitness Function Framework for Sustainable Research Software
Research software sustainability is often assessed through the FAIR principles: findability, accessibility, interoperability and reusability.Correct Answers, Unsupported Findings: Evidence Binding in Forensic Reconstruction of LLM Agent Logs
Forensic reconstruction of LLM-agent actions requires not only recovering the correct value, but establishing which preserved record supports that finding.Closed-Form Noise Calibration Against Membership Inference for Random-Allocation DP-SGD
DP-SGD protects training data by adding Gaussian noise to clipped gradients.Understanding and Mitigating Token-Pruning-Induced Vulnerabilities in VLMs
Token-Pruning accelerates Vision-Language Models by removing redundant visual tokens, yet its safety implications remain underexplored.Pareto-optimal quantum kernel selection for unsupervised anomaly detection on real malware beaconing data
Quantum kernel methods are leading candidates for a practical quantum advantage in machine learning, but assessing that potential requires two quantities usually reported separately: how well a…Hierarchical Security Monitoring for Edge-IoT: A Formal Methods Approach
Cyber resiliency in edge-IoT deployments is fundamentally an economic problem: detection must keep critical processes operating under attack, but defender resources (compute, bandwidth, operator…Defensive Sufficiency in a Stackelberg Model of AI Security
Feedback from automated testing, human red teaming, and incident response can strengthen an AI system's defenses when discovered failures lead to effective repairs.Constrained-Action AI Remediation for SIEM/XDR via a NeMo-Guardrails Proxy
Security Operations Centers (SOCs) for information technology and operational technology share one incident-response problem: a flood of correlated alerts and too few analysts.CYBERFORT: A Compliance-Chain Platform Operationalising the Cyber Resilience Act for SMEs
The EU Cyber Resilience Act (CRA) turns product cybersecurity into a lifecycle compliance obligation for manufacturers, importers, distributors, and integrators of products with digital elements on…Sensitive-Topic Leakage Through LLM Routing Metadata: Measurement and Mitigation
LLM routers pick a cheap or expensive model per request by its content, and many gateways and some cloud platforms can log that choice with content logging off.Efficient Provably Private Classification with a Tabular Foundation Model
Tabular data underpin prediction and decision-making in medicine, finance, government and science, but often contain sensitive individual-level information, creating a need for accurate prediction…BetweenCut: Private Heavy-Node Classification with Doubly Logarithmic Error in Tree Height
Finding heavy nodes in a tree---those whose counts exceed a given threshold---is a building block for analysis and learning over structured data.Pump-and-Dump meets Honeypot Tokens: Detection and Analysis of Telegram Bait-and-Trap Schemes
While Pump-and-Dump schemes have been extensively studied on centralized exchanges (CEXs), how they operate in decentralized exchanges (DEXs) remains largely unexplored.On the Reliability of LLM-Based Vulnerability Patching Benchmarks
Large language models (LLMs) have shown strong potential for automated vulnerability patching, but current benchmarks can substantially distort reported performance.Collusion-Secure Semi-Quantum Secret Sharing Scheme using a Quantum Third Party
The security of a secret sharing protocol is compromised if one or more dishonest participants can reconstruct the secret by deviating from the prescribed protocol, particularly when such malicious…PairAudit: Guiding Human Review with Graph Tokens under Distribution Shift
Intrusion detectors can confidently misclassify attacks that were not seen during training.PatchBench: Measuring Collateral Damage in Activation Patching
An LLM safety patch can pass a benchmark while still being a poor repair.SLDR: Defending Against Malicious Fine-tuning via Selective Layers Recovery and Dynamic Routing
Fine-tuning-as-a-service enables users to adapt aligned large language models (LLMs) to specialized tasks, but malicious fine-tuning can erode refusal behavior while preserving task performance on…From Investigation Failures to Reliable SOC Agents: Understanding and Improving LLM-Based Alert Triage
Security operations centers (SOCs) must triage large volumes of alerts, most of which are benign, while missed attacks can remain uninvestigated.PyCache Trap: The Inspection-Execution Gap in Agent Skill Scanners
Agent skills combine instructions with executable resources, giving third-party packages access to an agent's runtime.