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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 68
SRD-GUARD: A Defense Framework of LLMs via Semantic Rewriting and Joint Multi-Model Scoring for Latent Intent Exposure
Large language models (LLMs) are increasingly deployed in safety-critical applications, yet jailbreak attacks can conceal harmful intent through role-playing, fictional scenarios, or seemingly…A Translational Note on AI Safety Evaluation
Recent studies report that automated red-teaming finds more vulnerabilities, at lower cost, than human red-teaming on standard AI safety benchmarks, and some read this as evidence that human…A TTP by TTP Approach: Precise Malware Detection via Malicious TTP Recognition
Machine learning methods, and especially neural networks, are now routinely used for malware detection in network traffic.Detokenization Leaks: Reconstructing Local LLM Outputs From Cache Traces
We present a new attack that reconstructs the text generated by locally hosted LLMs by observing CPU cache activity during detokenization.A Trustworthy Watermarking Framework for LLM-Generated Food Safety Content
Large language models are transforming many industries with their text generation abilities.A Novel Semantic Manifold Alignment Attack against Embedding-to-Embedding Obfuscation in Privacy-Preserving LLMs
With the widespread applications of large language models (LLMs), privacy-preserving inference has become increasingly essential for sensitive queries.AURA-Eval: Evaluation Framework for Acting Under Risk Awareness in LLM Agent Trajectories
LLM agents operate in workflows where unsafe actions can have real consequences.Skynet: Workflow-Level Anomaly Detection for Agentic AI via Semantic and Structural Modeling
Agentic AI systems execute complex tasks through long-horizon workflows of planning, tool use, and multi-agent coordination.WAPP: Safe Learning of Positive Security WAF Policies from Live Traffic
Web Application Firewalls (WAFs) mainly rely on signatures to detect known attacks, which can leave gaps against modified or previously unseen payloads.Characterizing Contention-Induced Reliability Collapse in KV-Cache Timing Side Channels for Multi-Tenant LLM Serving
Shared key--value (KV) cache reuse improves large language model (LLM) serving, but it can also create a timing side channel that reveals whether a prefix is already cached.Exact Record Omission in Delta Attention: A Transport Criterion, Its Cost, and a Replay Certificate
When a user asks an assistant to forget a record, the test is whether the memory now matches the state it would hold if the record had never been stored.AgentHijack: Visual Patch Attacks on Multimodal Computer-Use Agents
This paper presents an end-to-end evaluation framework for image-triggered command injection against computer-use agents (CUAs).Bait-and-Recover: Poisoning Internal Refusal Signals to Defend LLMs against White-Box Editing Jailbreaks
Open-weight large language models face a low-cost white-box threat from representation engineering attacks.SAFEGuard: Detect Optimization-Based Jailbreak Attacks Through Harmful Semantic Analysis and Fluency Measurement
Despite the significant efforts devoted to aligning large language models (LLMs) with human values and ensuring safe deployment, recent work has revealed that LLMs remain vulnerable to adversarial…Multimodal Resource-Exhaustion Attacks on Vision-Language Models via Joint Pixel-Prompt Optimization
Resource-exhaustion attacks against autoregressive vision-language models (VLMs) typically assume unimodal threat models, treating the image branch as the primary optimization surface while holding…From Review to Authorization: Key-Isolated Threshold Signing for LLM Agents
Autonomous LLM agents can turn untrusted content into effectful actions such as payments and permission changes.Structurally Close, Temporally Distant: Measuring Security Exposure in Long-Horizon LLM Agents
Long-horizon LLM agents interact with untrusted content, persistent memory, external state, and sensitive tools.Versioned Transitive Dependency-Closure Binding and Operation-Time Effect Governance for Agent Skills: ClosureBound
Agent Skills combine instructions with files, packages, tools, models, and services, so operational identity can exceed a signed directory.Evaluating Deep-Search Agents under Hierarchical Web Evidence Poisoning
Search-augmented LLM agents are increasingly used for consumer decisions, making them vulnerable to Generative Engine Optimization (GEO) poisoning.Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions
Agents can turn shared infrastructure into a channel for coordinated intrusion.