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 37
Who Is Your Agent Serving? Provider-Side Indirect Prompt Injection in Proactive Agents
Proactive personal agents increasingly decide what to recommend, how to personalize advice, and what follow-up assistance to offer, creating a new user-decision attack surface for provider-side…Red-TTT: Test-Time Training for Automated Jailbreaking Large Language Models
Large language models remain vulnerable to jailbreaks, and automated red teaming is the standard way to find jailbreaks in large language models at scale.Grammar-Guided Code Watermarking with Green Temperature
Large language model watermarking embeds detectable statistical signals during decoding, but the resulting changes to token probabilities can degrade generation quality.Reflections and Fragments: Securing LLMs Against Sequential Mosaic Attacks
Self-play red-teaming improves language-model safety by pitting attacker and defender roles against each other in a zero-sum game.AutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models
The increasing complexity and scale of modern cyber-attacks demand intelligent and computationally efficient Intrusion Detection Systems (IDS).The Poisoned Conversation: Privacy-Leaking Watermarks in Unified Multimodal Models
Multimodal models are increasingly shifting toward unified architectures that understand and generate text, images, and other modalities within a shared conversational context.Don't Judge an LLM Only by Its Activations: Discovering Suppressed Safety Features via Counterfactual Activation Potential
Mechanistic interpretability has emerged as the primary means to understand safety behavior of LLMs.AgentDoxx: Agentic Re-identification of Anonymized Text with Web Search
As Large Language Models (LLMs) gain tool use capabilities such as web search, they can retrieve and cross-reference public information, creating privacy risks beyond memorization.TARE: Weigh a Never-Poisoned Twin Before Reading Backdoor-Defense Costs
Backdoor-defense leaderboards print a clean-accuracy drop and read it as removal cost.Where Does the Audio Jailbreak Live? A Controlled Frequency-Depth Audit of AdvWave-P on Qwen2-Audio
We audit frequency and decoder-depth claims for AdvWave-P, an additive audio jailbreak, on Qwen2-Audio.Which Image Property Carries the Jailbreak? A Controlled Dissection of Image-to-Text Jailbreaks
Image-to-text jailbreaks place harmful intent in text, image content, or the relationship between them.Language Model Fingerprinting Requires Rethinking Watermark Teachers
LLM fingerprinting via watermark distillation embeds a statistical watermark signal into model weights, enabling model owners to identify their models behind black-box APIs.Self-Reflection Fine-Tuning: Enhancing Agent Security against Prompt Injection Attacks from Failure Experience
Large language model (LLM) agents are increasingly deployed in tool-augmented environments, but their reliance on external inputs makes them highly vulnerable to prompt injection attacks that can…CyTReX: Explainable AI-Based Cybersecurity Threat Reasoning Framework for DER Networks
Distributed Energy Resource (DER) environments rely on network communication protocols to coordinate control commands, measurements, and device states across edge assets and cloud systems.Modeling Deletion Requests in Machine Unlearning
Machine unlearning is seen as a promising approach to enable users to exercise the "right to erasure" in the context of AI models.GrayShield: Bit-Level Sanitization for Transformer Model Supply-Chain Security
Transformer models such as BERT and Vision Transformer~(ViT) achieve strong performance via densely parameterized attention backbones.A Cheat-Sensitive Primitive for Destination-Private Quantum Routing
Quantum networks will rely on intermediate nodes to distribute entanglement, but the same nodes may learn which users are being connected.COPEX: Benchmarking LLM Robustness to Adversarial Context Across Model Context Protocol Layers
Large language models increasingly mediate tool use in Model Context Protocol (MCP) systems, where adversarial influence may enter through user instructions, tool schemas, tool outputs, or protocol…JASPER: Special Session on Joint Reliability And Security Assessment of SPlit Computing for Edge Robustness
Split Computing (SC) enables efficient deployment of Deep Neural Networks (DNNs) by partitioning inference between edge devices and cloud servers.Large Language Models and Augmented Democracy
Artificial intelligence enables computational agents to represent political preferences and take part in collective decision-making.