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.
Get the few papers worth your time in Cryptography & Security every morning.
Follow Cryptography & Security and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 69
SCRIPTIOC-BENCH: A Benchmark for Recognizing Actionable Threat Intelligence from Script-Based Malware using LLMs
Script-based malware remains a prevalent attack technique.Scratchy: Visual-Scratchpad Multimodal Reasoning for Cryptographic Proof Generation in EasyCrypt
Large language models (LLMs) have recently made substantial progress in formal proof generation, yet presenting distinctive challenges in cryptographic area.It is Not Yet Another Tool: Creating and Deploying an Agentic AI Companion in a Security Operations Center
Security Operations Centers (SOCs) process large amounts of tickets, most of which are low-interest events not worthy of further investigation.SIDE: Sensor Impersonation Detection at the Edge via Sequence Prediction
Some low-cost Internet of Things (IoT) sensor deployments lack device-level source authentication, leaving them vulnerable to impersonation or injected sensor readings.TIER: Threat Implicitness Benchmark for Evaluating LLM Safety Behaviors
Current LLM safety benchmarks largely rely on binary metrics, overlooking how models respond to harmful prompts with varying threat implicitness.Conformal Prediction for Offensive Security
Despite its introduction more than a quarter century ago, Conformal Prediction (CP) has seen surprisingly few applications to the cyber security world thus far.CONTINUITY: Security-Context Contracts for Composable LLM Agent Controls
LLM agent systems increasingly combine provenance tracking, authorization, policy enforcement, protocol adapters, and execution controls.Machine Unlearning as Private Retroactive Algorithms
Machine unlearning typically aims to emulate retraining from scratch: upon a deletion request, the unlearning algorithm should produce an outcome that would have been obtained had the deleted point…The History Is the Detector: Executing CVE Patch History, End-to-End
Public vulnerability databases collect rich information about known software flaws, including their weakness types, affected components, and related patches.Trust-Aware Adaptive Disclosure for Inference Privacy Preservation in Multi-Agent Networks
Agent based systems are increasingly deployed in information critical systems including healthcare management systems, and smart grids.When LLM Decompilers Recompile More and Preserve Less
Decompilation recovers high-level source from compiled machine code and serves as a foundation for security tasks such as vulnerability detection and malware analysis.XAI-SDN: An Explainable Entropy-Guided Machine Learning Framework for Real-Time DDoS Detection in Software Defined Networks
One of the biggest risks faced by Software Defined Networks (SDN) is the Distributed Denial of Service (DDoS) attack in which a compromised controller can make an entire network unusable.