Security & Cryptography · Computer Science & AI
Cryptography & Security
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1,372 papers, from 4 September 2026 to 5 November 2026: 1,372 arXiv preprints.
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Newest papers, page 63
Fusing Spectral Signatures and Activation Clustering for Backdoor Detection in Healthcare Imaging Models: Method, Implementation, and Evaluation
Machine learning models are increasingly deployed in healthcare imaging pipelines for diagnostic support, and training-time attacks against them are a named sector-level concern: healthcare-sector…Private Graph Property Testing
Graph property testing asks whether a massive graph satisfies a given property, or is far from doing so, using only a sublinear number of queries to the graph.AI Deployment Accountability Engineering: A Vision for Accountable AI in Safety-Critical Socio-Technical Systems
Artificial intelligence systems are rapidly becoming critical components in healthcare, finance, public services, and other safety-critical domains.SENTINEL: A Multi-Pathway Architecture for Detecting Living-Off-the-Land APT Attacks on Windows Command Lines
Living-Off-the-Land (LOTL) is the dominant evasion technique of Advanced Persistent Threat (APT) actors, exploiting legitimate Windows utilities to conduct malicious operations without deploying…Runtime Authorization for Resources Acquired by AI Agents
By acquiring compute, credentials, accounts, services, and other agents, autonomous AI agents can introduce new authority into a task.TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps
Cloud-hosted large language models (LLMs) are increasingly used for root cause analysis (RCA) in AIOps pipelines, but they introduce data privacy risk, network latency, and per-query cost that scale…The Stochastic Deputy: Structural Tenant Isolation for Tool-Using LLM Agents
Multi-tenant tools commonly accept a tenant identifier and validate it against the caller's entitlement.EI-DDLGN: Efficient Encrypted Inference with Deep Differentiable Logic Gate Networks under TFHE
Privacy-preserving inference via Torus Fully Homomorphic Encryption (TFHE) provides strong protection for sensitive data in outsourced deep learning applications.TyPatch: Transforming Patches into Typestate Rules for Kernel Bug Detection
Historical Linux kernel patches capture defect knowledge that applies beyond their original repair sites.Exploring Automated Vulnerability Identification in JavaScript Code Using Large Language Models
JavaScript powers approximately 98.8% of all websites, making vulnerabilities in its code a significant security risk, yet existing detection approaches such as Static Application Security Testing…When Malicious Instructions Persist: Persistent Memory Poisoning Attack on Harness-Based Agents
Harness design has transformed the development of LLM-based agents by integrating memory, tool use, and runtime control.Confuse the Model, Control the Flow: Understanding and Mitigating Privacy Leakage from LLM Agents with Information Flow Control
Personal AI agents built on large language models (LLMs) are increasingly given access to a user's private data and communications in order to provide personalized assistance.AGENTQ: Quantization-Conditioned Backdoor Attacks on LLM Agents
Quantization is one of the default deployment paths for open-weight LLM agents, but it is not behavior-preserving: an adversary can release a full-precision checkpoint that passes audits yet…Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks
The rapid growth of Distributed Energy Resources (DERs) has significantly expanded the cyber attack surface of modern power grids.I Am No One: Style-Aware Paraphrasing for Text Anonymization
Authorship attribution models can re-identify users from seemingly anonymized text by exploiting stable stylistic fingerprints, even after explicit identifiers are removed, posing a growing privacy…GraphProfiler: Source-Linked Sensitive Attribute Inference via Personal Knowledge Graphs
Sensitive attributes such as age, income, and occupation can be inferred from user-generated content by aggregating indirect cues across many ordinary posts.Differential Privacy Meets Fixed Parameter Tractability: Algorithms and Lower Bounds
We study combinatorial optimization problems under the constraint of $ε$-differential privacy ($ε$-DP).Evaluating Context Segmentation in Locally Deployable SLMs for Cybersecurity CTF Tasks
The proliferation of highly capable open-weight Small Language Models (SLMs) democratizes access to advanced cybersecurity capabilities, posing an escalating risk as these models can bypass…A Graph-Based Approach for Mapping Kernel-Level Telemetry to MITRE ATT&CK
Mapping observed system behavior to standardized frameworks like MITRE ATT&CK is essential for threat-informed defense, but remains largely manual.SkillAtlas: An Attack Trace Library for Agent Skills
Agent skills are reusable units for language-model agents, but their risks emerge through model decisions, user context, tool calls, and execution feedback rather than through stable signatures or a…