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 15
Evolving Federated Density Peak Clustering with Shuffler-Based Anonymization
In this paper, we present a novel one-shot federated clustering approach based on evolving fuzzy clustering and shuffler-based anonymization.AfterDeleteBench: Auditing Post-Deletion Information Persistence in LLM Agents
Many LLM agents maintain external persistent memory and derive additional state from past interactions, such as summaries.Auditing the Hand-Written Inputs of Learned Access Control
Learned access control is typically deployed behind two hand-built artefacts: a hard-deny set enforced by a small trusted shield, and a region map that decides which requests mined rules answer and…AgentPhishing: A Benchmark of LLM Email Agents Under Adaptive Attack
Computer-use agents increasingly handle private information and act on users' behalf across desktop and web applications, including email.Social-HUMINT: An LLM-Augmented Unified Framework for Measuring Social Media Exposure
In the post-API landscape, social-media profiling has become inexpensive and automated: Large Language Models (LLMs) can extract structured information from unstructured content and deduce…Efficient and Optimal Learning of Discrete Distributions with Person-Level Privacy
We study learning a discrete distribution under person-level differential privacy in the batched setting.OP-Print: Tracing Membership Imprints in On-Policy Self-Distillation
On-policy distillation has been widely adopted for alleviating the distribution mismatch of off-policy distillation.Omni-UBench: Benchmarking Omni-Modal LLM-based Guardrails Across Safety, Utility, and Reliability
Advances in Omni-modal Large Language Models (OLLMs) have enabled increasingly seamless human-AI interaction, but their unified processing of heterogeneous modalities also expands the attack…The Entire Quantum Computer on a Classical Leash
We show that a classical client with no quantum hardware can use a single untrusted and potentially malicious quantum server as if it were its own trusted quantum computer.SILMARILS-MV: Information-Theoretically Secure Multi-Verifier Signatures with Dealer-Free Key Issuance and Linear Aggregation for Permissioned Blockchains
Permissioned blockchains authenticate transactions, votes and quorum certificates with computationally secure signatures, and post-quantum replacements inflate consensus traffic by orders of…Ulysses: A Security Harness For Synthesizing Verifiable Web Exploits
How can an AI agent automatically discover security vulnerabilities in any software repository?Not an Accident: Exploiting Safety Filter Inadequacy in Humanoid Robots
As humanoid robots move from research laboratories toward deployment in human-centered environments such as homes, hospitals, and warehouses, safe operation around nearby people and objects becomes…Agentic AI Defense: Decode-Time Provenance Binding for MCP
Agentic AI systems using the Model Context Protocol (MCP) are vulnerable to indirect prompt injection through untrusted tool outputs.WADE: An LSTM-Based Anomaly Detection Engine for WebAssembly Applications
WebAssembly (Wasm) enables near-native performance for web applications through a portable and sandboxed execution model.TRACE: Data-Free Text Reconstruction Attacks against Approximate Unlearning in LLMs
In practice, pre- and post-unlearning model snapshots are often maintained for auditing and rollback, introducing a previously overlooked side channel.ToolContractGate: Versioned Trusted Contracts for Drift-Safe Agent Tool Invocation
Agent tool approval and input validation do not, by themselves, bind a request to an approved source artifact.Correlated Failures of AI Approval Monitors
Before an AI agent takes a consequential action, such as paying, messaging or changing code, several monitors check it.A Unified Evaluation Framework of Physical Adversarial Robustness in the Edge VLM Era
Recent advancements in Vision-Language Models (VLMs) enable end-to-end visual grounding via language prompts and generative decoding, demonstrating largely improved zero-shot and open-vocabulary…Beyond Binary Labels: Diagnostic Evaluation of LLM Safety with Prompt-Level Rubrics
Current LLM safety benchmarks predominantly rely on binary safe or unsafe labels, lacking explanatory depth and suffering from low consistency across automated judges.PQ-Vault: Provably Quantum-Safe Asset Custody for Unmodified Ethereum
A quantum computer could recover the key of any Ethereum account whose public key appears on chain.