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 49
Conversable Quantum Fire in the Standard Model
Quantum fire consists of quantum states that can be efficiently functionally cloned but cannot be transmitted using one-way classical communication.TTMark: Pairwise Distortion-Free Watermarking Beyond Single-Token Entropy
Distortion-free watermarking enables reliable attribution of machine-generated text while preserving output distribution.Audience-Bound Persistent Memory: Authorization Across the Memory Lifecycle
A personal language agent that acts for its owner across private and shared conversations can learn a fact from one audience and later place it in the context it assembles for another.Quantization Enables Private Dense Retrieval against Malicious Service Providers
Dense retrieval, the key component of Retrieval Augmented Generation (RAG), retrieves the most relevant documents by comparing dense vector representations of queries and passages from a large corpus.An Operator-Norm Approach to Security with Quantum Advice
Non-uniform security allows an adversary to receive bounded advice about an oracle before attempting a fresh challenge.Dual lattice attacks for bounded distance decoding, revisited
Analyses of dual lattice attacks have often assumed that the individual scores associated with short dual vectors are mutually independent.Tokenized Key-Gated Adapter Routing: A Secure Access Control Mechanism Against Private Data Leakage in LLMs
Large language models (LLMs) are increasingly deployed in privacy-critical domains (e.g., healthcare, finance, and government), but their propensity to memorize and disclose personally identifiable…Zero-Storage Procedural Neural Synthesis via Boundary Dynamics: Formal Verification in Lean 4 and Bare-Metal Gauntlet Validation
Contemporary neural inference architectures rely on dense floating-point weight matrices stored in high-bandwidth memory (VRAM), incurring severe memory-wall bottlenecks and preventing native…ORBIT: A Framework for Multi-Agent Safety and Security Evaluations
Multi-agent LLM systems are increasingly deployed for complex, long-horizon tasks or emerge as a natural consequence of agents interacting in the wild.Leaky Students: Membership Inference against On-Policy Distillation
On-policy distillation (OPD) trains a student to match a teacher's next-token distributions on student-generated trajectories.Geometry-Adaptive Mechanisms for Private Synthetic Data
Generating differentially private synthetic data with meaningful Wasserstein utility guarantees is challenging in high dimensions.API Secrets Should Never Become Tokens in the LLM's Vocabulary: A Threat Analysis of API Credential Handling in LLM Agent Systems and an Empirical Evaluation of a Vault-Mediated Execution Boundary
Tool-using large language model (LLM) agents turn credential hygiene from a storage problem into an execution-security problem.Evaluating System One Models for Agent Security Decisions: Reliability, Calibration, and Selective Automation
Model-based judges support agent security by detecting prompt injections, assessing interaction risks, and screening harmful requests.HESP: Separating What to Probe from When to Stop in Local LLM Alert-Triage Agents
Security operations centers receive far more alerts than analysts can investigate, and organizations that cannot send their telemetry to hosted models must automate triage with small open-weight…What Does It Mean to Forget a Person? Individual-Level Unlearning in Vision-Language Models
Erasing individual identities from Vision-Language Models (VLMs) is uniquely challenging because personal data is entangled across modalities rather than stored as isolated attributes.The Price of Peeking: Anytime-Valid Leakage Detection on ML-KEM EM Traces
Side-channel evaluators routinely inspect leakage tests while acquisition is still running, and extend or stop the campaign based on what they see.Climbing the Hill: Prompt Injection Red-Teaming Against Frontier Models with Curriculum Reinforcement Learning
Prompt injection is a leading security risk for LLMs and LLM-based applications such as agents.COGNIT-Guard: Calibrated Standalone Direct-Decision Guardrails with Heterogeneous CPU-NPU Confidence Cascading under Explicit Latency and False-Positive Constraints
When must a foundation-model safety gateway generate tokens, and when should it directly output a calibrated decision?MAD-Guard: Controlled Study of Autoregressive Generation versus Direct Decision Interfaces for Closed Multimodal Forensic Tasks
When should multimodal foundation models generate tokens, and when should they directly output a decision?SecProbe: Adaptive Evaluation of Coding Agents on Cybersecurity Vulnerabilities
Assessing cybersecurity vulnerability awareness in coding agents requires evaluations that reveal capability gaps and remain informative as models evolve.