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 53
CyberWorld: World Models for Sample-Efficient Autonomous Cyber Defense
Deep reinforcement learning has become a prominent approach to autonomous cyber defense.Evasion Attacks on Cost-Utility-Based Adversarial Training for Online AutoML in IoT Networks
As Internet of Things (IoT) networks increasingly depend on machine learning for anomaly, malware, intrusion detection, and network monitoring, such systems have become attractive targets for…SilentCall: Hidden Tool-Call Backdoors in Open-Weight Agents, and How to Catch Them
Open-weight tool-calling agents are adopted on evidence of merit, usually benchmark scores and a record of reliable use.Who Governs Data in the AI Era? A Computational Analysis of the U.S. Privacy Workforce in Job Postings
Privacy protection now spans legal, technical, and managerial duties, and demand for privacy professionals is growing across sectors.Multi-Jurisdictional Legal Identity Assurance for Capability Gating: A Design-Science Proposal for Tiered, Reusable Identity Assurance of Natural, Juridical, and Machine Entities
Identity assurance is the cost a digital system pays for dishonesty and uncertainty: it exists to make acts attributable when not everyone can be trusted at their word.Codetta: High-Capacity, Keyless, and Undetectable Multi-Agent Collusion
Multi-agent systems built on large language models (LLMs) are increasingly deployed in high-stakes settings such as finance, healthcare, and software engineering, where agents coordinate through…On the Effectiveness of Kernel-Level Evidence for Agent Security
LLM agents are deployed into infrastructure that grants them broad host authority, yet existing agent-security benchmarks and defenses operate almost exclusively at the application telemetry layer…Fast Frame Rate Estimation in Electromagnetic Side-Channel Attacks on Public Systems
Frame refresh rate estimation is a fundamental step in identifying compromising harmonic frequencies in electromagnetic side-channel attacks.Harness Tokenomics: A Router for the Enterprise Agentic Control Plane
Harnesses, the products that run AI coding agents, are multiplying, and enterprises are rolling them out to their employees.Calibrated Decision Models for Autonomous Penetration-Testing Harnesses: JEV and Laya as System One Decision Layers for LLM-Driven Pentest Agents
Autonomous penetration-testing harnesses use large language models (LLMs) for reconnaissance, exploitation, and reporting, but often rely on those same models to confirm findings, grade severity…The Tokens Remember: When Tokenization Bypasses Knowledge Editing and Unlearning
Open-weight LLMs give downstream users control over the inference stack, but this flexibility can undermine post-release guarantees that sensitive knowledge has been modified or removed.TraceGuard: Adaptive Multimodal Poison Filtering through Cross-Feature Rank Agreement
Multimodal training relies on image-text corpora collected from external sources, creating opportunities for attackers to poison the data.TP-CRIV: A Framework for Third-Party Challenge-Response Identity Verification of AI Models
Artificial intelligence (AI) models are increasingly deployed through remote services, making model misappropriation a growing concern.Just Ask Jev: Reinforcement Learning for Calibrated Decisions as a Zero-Shot Detector of AI Alignment Failures
Detectors of alignment failures screen deployed language models and score alignment benchmarks.Automated Abstraction Refinement for Information Flow Security in Embedded Systems
Information flow analysis (IFA) is a powerful technique for verifying confidentiality and integrity and is therefore highly desirable for security-sensitive embedded systems.Prefilling the Reasoning Channel: Output-Prefix Attacks on Reasoning LLMs
Large Language Models (LLMs) consume and produce a single sequence of text; hence, if text can be added to the beginning of the LLM's response, i.e., an output prefix, then all subsequent tokens…Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution
In July 2026, an unconstrained autonomous agent participating in a frontier AI cybersecurity evaluation harness breached its evaluation sandbox, established an external command-and-control foothold…Template Ageing and Longitudinal Verification in Fixed-Text Keystroke Dynamics: A Subject-Disjoint Study Across Eight Weeks
Behavioural biometric templates are widely believed to degrade as the gap between enrolment and verification grows, but few studies measure this template ageing effect directly under controlled…Computational Cryptography from Pseudoentanglement
The advent of pseudoentanglement and computational entanglement theory bootstrapped a wave of research at the intersection of computer science and information theory.When Temporal Perturbations Act Like Sensor Biases: Label-Free Auditing of Wearable Activity Recognizers
Wearable human-activity recognition (HAR) models operate across sensors, subjects, and backbones, yet a smooth waveform may appear temporal while exploiting a persistent sensor offset primarily.