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.
1,371 papers, from 4 September 2026 to 5 November 2026: 1,371 arXiv preprints.
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Newest papers, page 8
Prevented is Not Protected: What Attack Success Rate Hides about RAG
Retrieval-Augmented Generation (RAG) is vulnerable to knowledge poisoning, where adversaries manipulate retrieved evidence to influence model outputs.CLIC: Closed-Loop Intent Consistency for Securing LLM-Driven Control in Open RAN
With the progressive capabilities of large language models (LLMs), researchers are finding ways to integrate them into the control loops of Open Radio Access Network (O-RAN) to enable slicing and…Safin-1.5: Safety-Native Architecture and Verifiable Reasoning for Recursive Safety Improvement
Recursive self-improvement (RSI) enables large language models to advance their capabilities through successive updates, but these updates can also introduce new risks and weaken existing safeguards."Shall We Approve?" Consequence-Aware Approval for Autonomous Coding Agents
Coding agents increasingly rely on automated approvers to decide whether a proposed shell command may run.Coupled or Independent? Fault Coupling in Agentic Medical Vision Systems
Vision-language agents equipped with tools expose intermediate outputs for inspection and comparison with the model's reasoning, which may offer safety benefits over single-shot models.Characterizing Recoverable Expert-Utilization Signatures in Fine-Tuned Mixture-of-Experts LLMs
As Mixture-of-Experts (MoE) large language models are increasingly deployed in distributed environments, from federated learning to edge-cloud systems, their architecture harbors an underexplored…Communication-Efficient Private Federated Reinforcement Learning with Post-Quantum Authentication for Vehicular Networks
Federated reinforcement learning supports cooperative vehicular routing without centralizing trajectory data, but model updates may reveal private information and incur communication overhead over…Accept Changes, Reject Attacks: Robust Memory Management for LLM Agents
Since large language model (LLM) agents rely on long-term memory, what they store now shapes what they do later.LanG 2.0: Energy-Efficient Agentic AI for Semi-Automated Security Operations at Scale
Security operations centers (SOCs) need to turn terabytes of alerts, logs and flows into trusted, affordable decisions to unveil hidden threats.Kerkoporta: Injecting Structured-Output Backdoors in Reasoning Coding Agents
Existing large language model (LLM) backdoor attacks operate primarily in chat settings, where the risk is bounded by free-form text outputs.Jailbreak Connectivity: Towards Diverse, Transferable, and Universal Multimodal Large Language Model Jailbreak
Multimodal large language models (MLLMs) are vulnerable to visual jailbreak attacks that bypass safety safeguards.Answer-Only Disclosure: Private-Context LLM Assistance over Web APIs with a Leakage Ledger
Web assistants increasingly answer questions about a user's private documents by pairing a small on-device model with a cloud LLM behind a Web API.Component Translation and Judge-Labelled Refusal: A Multilingual Safety Evaluation
Whole-prompt translation evaluates a request in different languages but does not compare which component carries a language.Is it my preference? Role Grounding Attack against Agent's Memory via Social Interaction
LLM-based agents now share experiences on social platforms and remember new preferences to enhance their performance.Manifest-Assisted Retrieval in Artificial Intelligence Search: Evidence Gaps and a Security Evaluation
The external sources retained in our non-systematic audit did not isolate the incremental security or utility effect of consuming /llms.txt while ordinary retrieval remained fixed.DecisionUnlearn-Bench: Unlearning Probabilistic Decisions under Changing Schemas
Machine unlearning aims to reproduce the behavior of a model trained without designated data.Tracekit Box: Running AI Agents in Micro-VMs Where Every Way Out Is Decided and Signed
AI agents now install packages, call model APIs with their operators' keys and change code in repositories that deploy to production.Recurrent Bipartite Graph Neural Networks for QC-MDPC Error Decoding in McEliece Cryptosystems
As the advent of large-scale quantum computing threatens classical encryption, Quasi-Cyclic Moderate Density Parity-Check (QC-MDPC) codes have emerged as a foundational element of Post-Quantum…Security Impact of Coding Agent's Memory Files
Coding agents automatically load project memory files such as CLAUDE.md at the start of every session and treat them as trusted project guidance.The State of the Practice in Privacy Impact Assessments: Understanding the Professionals' Perspectives, Experiences, and Current Procedures
Organisations frequently utilise Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), or even Fundamental Rights Impact Assessments (FRIAs) to identify and evaluate…