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 59
End-to-End Hard-Label Cryptanalytic Model Extraction Using Efficient Sign Recovery
The importance of deep neural networks (DNNs) is widely recognized, and the parameters obtained through training are regarded as valuable assets.Style as Cover: Deep Image Steganography via Stylized Transmission
Image steganography hides secret message within normal images, with most existing works relying on cover-preserving transmission.Defusing Explosive Prompts: Understanding and Preventing Trigger-Based Prompt Injections in LLM Agents
As LLM applications integrate with external tools, they are increasingly exposed to indirect prompt injection (IPI), where adversarial instructions are embedded in retrieved content.Zero-Trust Authorization and Discovery for Enterprise MCP
LLM agents translate natural-language context, which may include attacker-controlled text, into privileged tool calls, so authorization must remain effective even when an agent is prompt-injected or…Fairly Compensated Distributed Information Retrieval and Augmentation for AI Agents
The increasing reliance of autonomous AI agents on external and distributed knowledge sources introduces a fundamental challenge for decentralized information marketplaces: retrieval agents must…Red-Teaming Auto Mode: Improving Blocking Classifiers Against Malign Coding Agents
To keep coding agents from going off the rails, production systems now review each proposed action with a blocking monitor that can reject it before it runs (Auto Mode in Claude Code, Guardian in…A Policy Profile for Croissant: Refusal as a Property of the Dataset
Croissant is the de facto machine-readable descriptor for ML datasets: JSON-LD over schema.org.SoK: Trading Agents or Market Crashers? Dissecting Robustness and Security Failures in Academic Financial LLM Trading Schemes
Autonomous large language model (LLM) agents are moving rapidly into high-stakes domains, yet existing agentic-AI security studies remain largely domain-agnostic and overlook the distinctive…ALIBI: Adversarial Legitimacy Injection in Binary Input against LLM Malware Analyzers
Large language models are being integrated into malware triage workflows as reasoning components that summarize static evidence and produce analyst-facing verdicts.Trust, but Validate the Instrument: Auditing AI-Generated RTL Verification Plans on Authored Security-Regression Proxies
AI-generated RTL verification plans can satisfy a provider schema yet fail at the boundary to trusted execution.ClashBench: Conflicts Leading Agents to Seize and Harm
As agent systems become more widely used, multiple agent sessions increasingly run alongside pre-existing user tasks in the same environment, sharing resources with limited capacity or mutually…Delphi Scanner: efficient and interpretable static malware detection via API sequence modeling
Static malware detection for Windows Portable Executable files demands a careful balance between detection effectiveness, computational efficiency, and analytical interpretability.Mind the Gap: How SBOM Specification Ambiguities Lead to Divergent Software Bills of Materials. An Empirical Tool Study
Software Bill of Materials (SBOMs) will become mandatory starting in December 2027 under the European Cyber Resilience Act (CRA) [8].A Scalable Trust Discovery Architecture for the Internet of Agents
The Internet of Agents is expected to enable large numbers of autonomous agents to discover, verify, and collaborate with each other across heterogeneous platforms.Compact Vision Models for Iris Presentation Attack Detection under Presentation Attack Instrument Shift and Environmental Degradation
Iris presentation attack detection (PAD) is security-critical when a subsystem that appears reliable during development encounters presentation attack instruments (PAIs) or acquisition conditions…Fingerprinting Multimodal Large Language Models
While multimodal large language models (MLLMs) enable a wide range of image-text reasoning tasks, recent incidents indicate that they are vulnerable to illicit deployment and unauthorized…Worst-Case Hidden-Vehicle Trajectory Search in Spatiotemporal Occlusion Regions
Occlusion creates fundamental uncertainty in autonomous driving.Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape
Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software.Multi-center Medical Data Mining with FL-Net - A One-stop Shop for Federated Learning
Federated learning enables collaborative training without sharing patient-level data, but most studies remain simulations.ASGARD: Action-Space Guard for UAV Resilience via Reinforcement Learning
Reinforcement learning (RL) controllers have been recently adopted for Unmanned Aerial Vehicles (UAV) navigation and control.