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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 55
Don't Read the Log: Execution Traces Contaminate Verifiers in Video-Generation Agents
Agentic video-generation systems close a loop between a generator and a verifier: an LLM plans shots, calls a text-to-video model, and a multimodal judge decides whether the result satisfies the…Where Cyber Agents Struggle: Bottleneck Analysis of Multi-Stage LLM Agents
Multi-stage LLM-based cyber agents may complete attack workflows while remaining brittle, costly, or reliant on incorrect interpretations of execution evidence.Persistent Billable State: Denial-of-Wallet Attacks and Defenses in Tool-Calling LLM Agents
Multi-step tool-calling LLM agents rely on host runtimes to preserve state across turns.Agent Approval Laundering: Transitive Effects Beyond the Approved Invocation
Coding-agent approval interfaces bind a human decision to a command or tool call, while developer tools execute the transitive workflow that invocation activates.BRFID: Toward Byzantine-Robust Federated Intrusion Detection
Flipping 60\% of training labels from a single Byzantine client using label-flipping model poisoning self-degrades an attacker's own federated detection accuracy, $99.96\%$ (at no poisoning rate) to…CONCURDEP: Event-Guided Analysis of Dependency Invalidation in CPython Concurrency
Removing CPython's Global Interpreter Lock (GIL) exposes native code to concurrency absent from ordinary C types.Decision Hijacking: Prompt Injection Attacks on Jev's Typed Probabilistic Decisions
Most studies of prompt injection focus on generative agents, leaving their effects on models with schema-defined outputs unclear.Progressive Skill Discovery as Access Control for Tool-Using LLM Agents: Structural Governance through Role-Scoped Capability Delivery
Large Language Model (LLM) agents struggle to scale safely when exposed to vast enterprise toolsets.Unmasking Shortcut Learning in IoT Intrusion Detection: A Forensic, Multi-Paradigm Evaluation of Feature Dependence and Data Leakage
Machine learning-based Network Intrusion Detection Systems often report near-perfect performance on IoT benchmarks.Blockchain-Enabled Artificial Intelligence and AI Agents for Secure Data Sharing and Cybersecurity Applications
Blockchain and artificial intelligence (AI) are converging into a single infrastructural layer for securing data sharing, model integrity, and autonomous decision-making across distributed systems.ScopeBench: Do Agents Preserve Engagement Boundaries Under Goal Pressure?
Agents are increasingly deployed with real autonomy in web application and network penetration testing, where a single out-of-scope action can breach a client's engagement boundary.Dynamic Conformance Testing of WebGPU Through Specification-Driven Mutation
WebGPU is a low-level graphics and compute API that exposes modern GPU functionality to web applications.Evaluating Coding Agents on Kernel Exploit Generation
Coding agents now find real vulnerabilities in production software.On the Construction of Trapdoor Claw-Free Functions with Certifiable Key
Trapdoor claw-free functions (TCFs) underpin much of classical-quantum cryptographic interaction, yet every TCF-based protocol states its guarantees relative to an honestly generated key.LoRango: It Takes Two LoRAs to Unlock Hidden Behaviors in Diffusion Models
Users commonly combine multiple Low-Rank Adaptation (LoRA) adapters to personalize images with different subjects, styles, and visual attributes.Toward Responsible AI-Augmented Cyber Defense: Pattern Recognition, Defense-in-Depth, and the Case for Human-AI Collaboration
Cybersecurity literature has extensively documented the operational benefits of artificial intelligence (AI) for threat detection, incident response, and prevention, while raising qualitative…On the security and privacy of LLMs in Mobility
The mobility sector is undergoing a paradigm shift driven by advances in Generative Artificial Intelligence.Design and Evaluation of a Controlled Post-Alert Incident Orchestration and Response Subsystem Using a Rule Engine and a Local Large Language Model
This paper presents a controlled post-alert incident orchestration and response subsystem for educational information systems.HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning
Concept drift, driven by the rapid evolution of Android malware, severely degrades the performance of machine learning detectors.I Prove, Therefore I Am: Spatiotemporal Multi-Party Computation
Secure multiparty computation (MPC) enables mutually distrustful parties to compute on private digital inputs.