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CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response From Privacy to Workflow Integrity: Communication-Graph Metadata in Autonomous Agent Interoperability Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection QSignAI: Quantum-Randomness-Seeded Identity Signatures at the Intersection of AI for Science and Science for AI A Standardized Ontology for Intent-Based Security Management in Autonomous Networks Code as a Weapon: A Consensus-Labeled Prompt Bank for Measuring Coding-Model Compliance with Malicious-Code Requests Cordyceps: Covert Control Attacks on LLMs via Data Poisoning CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT? Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety Red-Teaming Agent Execution Contexts: Open-World Security Evaluation on OpenClaw From Specification to Deployment: Empirical Evidence from a W3C VC + DID Trust Infrastructure for Autonomous Agents Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit PLAGUE: Plug-and-play framework for Lifelong Adaptive Generation of Multi-turn Exploits VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious Attacks Feedback Lunch: Learned Feedback Codes for Secure Communications Noise Aggregation Analysis Driven by Small-Noise Injection: Efficient Membership Inference for Diffusion Models A First Look at the Security Issues in the Model Context Protocol Ecosystem Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems CTIConnect: A Benchmark for Retrieval-Augmented LLMs over Heterogeneous Cyber Threat Intelligence RAG-Pull: Turning Retrieval into a Code-Injection Channel via Invisible Unicode Perturbations MEASER: Malware embedding attacks on open-source LLMs ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact Checking Fall into a Pit, Gain in a Wit: Cognitive-Guided Harmful Meme Detection via Misjudgment Risk Pattern Retrieval When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models A2AS: Agentic AI Runtime Security and Self-Defense Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG) Correcting Prompt Dependence in LLM Benchmarks: A Bayesian Hierarchical Model with Embedding-Space Clustering From surveillance to signalling: escalation channels as environmental controls for agentic AI Quantitative Certification of Agentic Tool Selection Bypassing Prompt Guards in Production with Controlled-Release Prompting Where Do Backdoors Live? 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Benchmarking Overestimation under the One-Time-Pad-Based Framework ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation From Multi-Agent Systems and the Semantic Web to Agentic AI: A Unified Narrative of the Web of Agents White-Basilisk: A Hybrid Model for Code Vulnerability Detection Taming Data Challenges in ML-based Security Tasks Using Generative AI Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model! InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustness VERA: Variational Inference Framework for Jailbreaking Large Language Models Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem Exploring the Secondary Risks of Large Language Models SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense Benchmarking Misuse Mitigation Against Covert Adversaries Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping Organizational Adaptation to Generative AI in Cybersecurity Efficient Preimage Approximation for Neural Network Certification Practical Adversarial Attacks on Stochastic Bandits via Fake Data Injection Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs \texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party PARASITE: Conditional System Prompt Poisoning to Hijack LLMs Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs Secure LLM Fine-Tuning via Safety-Aware Probing Can Large Language Models Really Recognize Your Name? PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents Think Twice Before You Act: Enhancing Agent Behavioral Safety with Thought Correction A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?
Cyclic Equalizability of Words and Its Application to Card-Based Cryptography
Kazumasa Shinagawa, Koji Nuida · 2025-07-07 · via cs.CR updates on arXiv.org

Card-based cryptography is a research area to implement cryptographic procedures using a deck of physical cards. In recent years, it has been found to be related to finite group theory and algebraic combinatorics, and is becoming more and more closely connected to the field of mathematics. In this paper, we discuss the relationship between card-based cryptography and combinatorics on words for the first time. In particular, we focus on cyclic equality of words. We say that a set of words are cyclically equalizable if they can be transformed to be cyclically equal by repeated simultaneous insertion of letters. The main result of this paper is to show that two binary words of equal length and equal Hamming weight are cyclically equalizable. As applications of cyclic equalizability to card-based cryptography, we describe its applications to the information erasure problem and to single-cut full-open protocols.