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 45
VStress: Correlation-Aware Auditing and Adaptive Budget Allocation for Repeated Verifiers
Repeated verifier calls are useful only when they contribute conditional information.OPFL: Optimistic Verification of Federated Learning via Empirical Boundary
Federated learning enables multiple clients to collaboratively train models without sharing their private data.When Tools Silently Lie: Evaluating and Mitigating Blind Compliance in Tool-Augmented Data Agents
Tool-augmented data agents rely on tool outputs for analytical decisions.ToolFence: Fine-Grained Authorization for Secure Tool-Using LLM Agents
Tool-using LLM agents remain vulnerable to indirect prompt injection because trusted instructions and untrusted observations share one context, allowing malicious content to steer consequential…Beyond Semantic Narrowing: Robust and Efficient LLM Watermarking with Hamming Neighborhoods
Semantic watermarking improves robustness against watermark removal attacks by embedding detectable signals into sentence-level representations.Quantum Leakage Resilience of Shamir Secret Sharing
We initiate the study of quantum leakage resilience of unmodified Shamir secret sharing over prime fields.AutoMark: Enabling Autoresearch to Discover Better LLM Watermarks
With LLM watermarking being deployed commercially and now required by regulations, improving its reliability and effectiveness has become crucial.Collision Detection is Instance $\widetilde{O}$ptimal Under the Birthday Threshold
Can structural knowledge about a hash function help accelerate the (black box) detection of collisions in it?Backdoor Mitigation in Decentralized LLM Fine-Tuning
Decentralized large language model (LLM) fine-tuning lets organizations collaboratively train a shared LLM on data they cannot pool, without a central coordinator.Succinct Arguments for QMA in the Quantum Random Oracle Model
Succinct arguments are a fundamental cryptographic primitive for verifying computational claims with small communication.Concealing LLM-Based Multi-Agent Topology via Phantom Structure Injection
Driven by the rapid advancement of large language models (LLMs), LLM-based multi-agent systems (MAS) have emerged as a powerful paradigm for collaborative reasoning over complex tasks.Selective Channel Restoration for Backdoored Vision-Language Models
Vision-language models (VLMs) exhibit strong multimodal capabilities but remain vulnerable to backdoors implanted through poisoned fine-tuning data.Making Duplicate Reimbursement Unrepresentable: A Verified Ethereum E-Invoice System for Humans and AI Agents
Electronic invoices are replacing paper invoices worldwide, but today's centralized architectures leave three problems unsolved on the consumption side: an invoice can be submitted for reimbursement…Dagger: Decoupling-based Model Stealing Attack against Graph Neural Networks
As Graph Neural Networks (GNNs) are widely deployed as Machine Learning-as-a-Service (MLaaS) APIs, model stealing attacks have emerged as a critical security threat.A Function-level Dataset of Vulnerable and Fixed Source Code in JavaScript and TypeScript
JavaScript and TypeScript are widely used in modern web development, making their security critical; however, automated vulnerability detection is often constrained by the availability of…Classical Verification of Quantum Computation with Quasilinear Resources, from Compiled Nonlocal Games
Computational self-testing gives a classical verifier command over the quantum register of a single computationally bounded prover.Inference-Layer Security: Defending Against Adversarial Inference and Infrastructure Abuse
A Technical Report: Operating a large language model (LLM) as a service requires more than inference infrastructure: the provider must also defend against adversarial interactions that seek to…ModalFidelity: Routing Modalities for Deepfake Detection on a Budget
Deepfakes no longer need to fake a whole video.Forensic-Aware Continual Adaptation for Image Forgery Localization
The rapid evolution of image manipulation techniques has raised growing public security concerns.CollageAttack: Exploiting Cross-Modal Alignment Flaws in T2I Models through Spatial Text Composition
Text-to-image (T2I) models have substantially improved in language understanding, in-image text rendering, and visual composition, while their safety mechanisms do not always keep pace with these…