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 12
BUSTA: Teaching Small Language Models to Reason About Binary Execution
Large Language Models (LLM) are increasingly applied to Reverse Engineering (RE) workflows.Detecting and Mitigating Query-Based System Prompt Leakage Attacks
Large Language Models (LLMs) rely on proprietary system prompts to enforce task directives, safety policies, and access controls.Evaluating Federated Vision-Language and Vision-Only Models for Privacy-Aware Breast Cancer Imaging
Artificial intelligence (AI) shows promise for breast imaging, but limited labeled data, institutional data fragmentation, and privacy concerns hinder centralized training.ORBITAL: Optimization of Robust Brain--Computer Inference Through Architecture-Aware Low-Precision Compression
Compact electroencephalography (EEG) decoders enable embedded brain--computer interfaces (BCIs), but compression can alter adversarial robustness without proportional hardware savings.Reversible Pseudonymisation of Documents Sent to External LLMs: an Open Bilingual Benchmark and an Engine
Professionals send working documents to external large language models.Securing Agent-Generated Code with Its Own Development History
Pull requests written by coding agents can pass a project's test suite while omitting a guard or a validation step.BE-CTDE: Blockchain-Enabled Multi-Agent Reinforcement Learning with Anomaly Detection and Token Economics
Multi-agent reinforcement learning supports cooperative decision-making in Internet of Things systems, but strategic deviations can disrupt coordination and undermine confidence in the training…The Policies of Programming Language Ecosystems: A "Qualitative" Analysis
Programming language ecosystems (PLEs), such as CRAN for R, have greatly accelerated software reuse.NameTrap: Steering AI Coding Agents Toward Security Vulnerabilities via Variable Names
AI coding agents routinely clone repositories, install packages, and read source code obtained from the Web, so publicly hosted code becomes part of the context that shapes the code they write.Repairing Broken Access Control in Web Applications with LLMs: An Empirical Benchmark Study
Broken access control (BAC) ranks among the most severe web-application vulnerability classes, yet its automated repair remains largely unexplored.Factual Yet One-Sided: Stance Poisoning and Evidence Balancing in Retrieval-Augmented Generation
The stance expressed in responses from retrieval-augmented generation systems is significantly influenced by the stance distribution of the retrieved materials.SymLift: Neural Semantic Lifting for Compile-Free Vulnerability Detection in Context-Incomplete Code Fragments
Missing project context can prevent build-dependent analyzers from constructing program relations required for vulnerability detection, while neural predictions alone do not establish auditable…CyberDual: AI Attackers versus AI Code Reviewers in Real Software Maintenance
Open-source projects now let AI agents review incoming code, but the code under review may itself come from an AI attacker.Does the Voynich Manuscript Mean Anything? Calibrated Tests Find Little Trace of Language
The Voynich manuscript is a fifteenth-century book in a script that no one can read.SentryBench: A Cost-Sensitive Benchmark for Adversarial Robustness of Tool-Using LLM Agents in Public-Safety Deployments
Large language model (LLM) agents are increasingly wired to consequential tools that send public alerts, dispatch responders, and query citizen records, where one erroneous tool call carries…LLM WikiLeaks: Uncovering URL-Based Capability Extension and Security Circumvention in Agentic Message Boards
Autonomous agents have been observed acting beyond their assigned tasks, accessing unauthorized systems, and establishing communication channels to exchange information, yet the Web and…NovaFabric: A Black-Box Recorder for AI Agents with Sealed, Replayable, Diffable and Auditable Runs
An AI agent run is no longer a function call.Agent-to-Agent Synthetic Social Engineering on the Web
An AI agent can prepare an accurate report and still request an action its user has not authorized.Combinatorial Lock for Trojan-Resilient AI Engines via Hash-Assisted Spectral Filtering
Multi-trigger backdoor attacks, in which heterogeneous trigger mechanisms (e.g., patch, blend, warping, and the latent-domain Spy-Watermark) coexist within a single poisoned model, cannot be…Secure and Functional Code Generation with Self-Evaluation
Large Language Models (LLMs) can generate functionally correct code that remains insecure.