Security & Cryptography · Computer Science & AI
Cryptography & Security
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1,372 papers, from 4 September 2026 to 5 November 2026: 1,372 arXiv preprints.
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Newest papers, page 54
ENDOPROMPT: Victim-Side Pseudo-References for Utility Degradation
Prompt injection can degrade benign task performance without eliciting harmful content.A Lightweight Ethereum Voting Prototype for Hospital Ethics Committees with Receipt-Based Inclusion Verification
This paper presents a Solidity, Hardhat, React, MetaMask, and ethers.js prototype for hospital ethics committee voting.AERIAL: Adversarial Evaluation of Robustness in Accuracy-Preserving Low-Precision EEG Decoders
Deployment-oriented compression is attractive for resource-constrained brain--computer interfaces (BCIs), but whether it changes adversarial vulnerability remains unclear.PrivDrift: Auditing User-Secret Leakage Under Topic Drift in Active LLM Conversations
Large language models increasingly operate as persistent assistants in user-facing, shared-session, and tool-augmented settings.Instrumental Monitor Evasion Emerges Under Ordinary Task Pressure
A central concern in AI safety is that agents may treat oversight as an obstacle when it conflicts with completing their goals.LLM Agents Can Easily Tamper With Their Own Traces
Asynchronous monitoring, incident investigations, and compliance audits primarily rely on agent traces to reconstruct what happened.Coding Agents Aren't Enough! Evaluating an Enterprise Security Brain for Agentic Cloud Investigations
Cloud-security investigation is dominated by population tasks: which identities can read a data store, how many resources fail a control, what is reachable from another account.Encryptability As a Coordinate Choice: Depth-One Homomorphic Federated Learning of Quantum Neural Networks
Encrypted training relies on keeping server-side updates low-degree.Subjects, Not Authors: The Authorship Hazard in Agentic Dataspaces
Dataspace connectors decide whether a transfer may occur, not what the transferred value contains, tolerable for contracted applications, not for LLM agents that compose tool calls and spawn…Reliable Federated TinyML Deployment for IoT Security
The growing deployment of Internet of Things (IoT) devices has increased the need for privacy-preserving intrusion detection systems that operate directly on resource-constrained hardware.SR-Fraud: An Outcome-Supervised Reflective LLM Agent Framework for Non-Stationary Payment Fraud Detection
Real-time payment fraud detection is a non-stationary streaming prediction problem: adversaries adapt before supervised labels mature, and localized burst attacks can cause losses before retraining.Multi-View Fusion for Encrypted C2 Detection: A Leakage-Controlled Measurement Study of Evaluation Pitfalls
Command-and-control (C2) traffic increasingly hides within TLS, so defenders now apply machine learning to traffic metadata.Automated Extraction of Records of Processing Activities (RoPA) Using Hybrid RAG and Locally Deployed Large Language Models
Vietnam's Personal Data Protection Law (Law No. 91/2025/QH15) and Decree No. 356/2025/ND-CP, effective January 1, 2026, require organizations to establish and maintain Records of Processing…Seal, Then Sample: Sampled Layerwise Proofs for Verifiable LLM Inference from GPT-2 to 70B
Verifying outsourced language-model inference requires a precisely identified computation and an audit whose cost a service can afford.Issuer-Sovereign Agentic Payments
AI agents are beginning to make real payments.Agent Name Collision Attacks in Multi-Agent Systems
Multi-agent hosts turn remote Agent Cards into local agents, tools, workflow targets, and broker routes.Do Electromagnetic Side-Channel Attacks Threaten Electronic Polling Stations? Scenarios and Recommendations
This paper investigates the threat to ballot secrecy in the Brazilian electronic voting machine (UEB) posed by electromagnetic side-channel attacks, also known as TEMPEST attacks.ODPure: Backdoor Purification for Object Detection via Ensemble Corruption Consensus
With the development of applications like autonomous driving, object detection has gained significant attention, while also highlighting critical vulnerabilities like backdoor attacks that severely…ForgetMimic: Motion Unlearning for Reinforcement Learning Humanoid Control
Humanoid control, leveraging human demonstrations, has achieved diverse, agile, and natural locomotion behaviors through reinforcement learning (RL).Who Is Behind the Harness? Fingerprinting LLMs through Agentic Behavior
LLMs increasingly operate through coding-agent harnesses that inspect repositories, invoke tools, and modify files.