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 13
Can Agentic Code Review Catch Vulnerabilities Before They Are Merged?
LLM agents have been increasingly adopted for security-focused code review, but existing benchmarks mostly derive the reviewed changes from their later fixes instead of the real-world…Pacifo: An Efficient Fully Homomorphic Encryption-based Lightweight ResNet for Trustworthy Machine Learning as a Service
Machine Learning as a Service (MLaaS) has become a popular paradigm for deploying AI applications.ProbeID: Verifying MCP Tool Identity for LLM Agents under Registry Drift
Agents select tools by copyable descriptions, which cannot establish which implementation runs.Extraction meets Distillation - cryptanalytic techniques to recover parameters from a Deep Neural Network
We study fully connected neural-network reconstruction by combining cryptanalytic weight-direction extraction with learning from predicted labels.VulDec: Vulnerability Detection in Binaries via Neural Decompilation
Automated vulnerability detection in binary executables is challenging due to the lack of source code and the limited semantic information available at the assembly level.Trust Mechanisms for Offline Generative AI at the Edge: A Connectivity-Regime Framework and an Empirical Study on a Raspberry Pi 5
Generative AI and large language models (LLMs) are moving into the Internet of Things, yet most deployments assume cloud connectivity, and many IoT settings have intermittent, restricted, or no…EdgeDeID: A 0.6B Clinical De-identifier Trained Without Real Patient Data
De-identifying clinical notes with a hosted language model discloses the information the step is meant to protect.Ranking Is Not Deciding: Benchmark Shortcuts and Operating-Point Collapse in Query-Time RAG Poisoning Defenses
Query-time filters that screen each retrieved document before it reaches the generator are the dominant published defense against retrieval-augmented generation poisoning, and they report…Securing Edge & Physical AI: Post-Quantum IoT Blockchain for Mission-Critical Cyber-Physical Agents
Distributed Cyber-Physical Systems (CPS) and Edge AI networks increasingly depend on public-key authentication and key-establishment mechanisms that are vulnerable to cryptographically relevant…Concept Acupuncturist: An Efficient and Precise Concept Erasure Method for Diffusion Models via Sparse Autoencoders
Diffusion-based image generation models produce high-quality images but may generate harmful or policy-violating content, motivating machine unlearning (MU) to selectively remove target concepts…AgentTrace: Execution-Level Fingerprinting of Black-Box LLM Agents
Verifying the provenance of autonomous LLM agents is a critical security challenge.Curvature-Aware Clipping: Mitigating Bias in DPSGD via Approximate Second-Order Information
Differentially Private Stochastic Gradient Descent (DPSGD) has become the de facto standard for training deep neural networks with rigorous privacy guarantees.Depth-Dependent Safety Geometry in Vision-Language Models: Layer-Wise Localization and Bidirectional Refusal Control
Vision-Language Models (VLMs) are widely deployed, yet the internal mechanisms behind their safety behavior remain poorly understood.Democratic Accountability for Autonomous Systems: A Legislative Notification Framework and Comparative Institutional Design
No domestic legislature has ever reviewed a state's decision to authorise an autonomous cyber weapon before it acted.Autonomous Cyber Weapons as AI-Enabled Digital Harms: A Platform Accountability Framework
Governments govern AI-generated online harms from commercial platforms (EU DSA, AI Act, UK Online Safety Act), yet the most severe class remains ungoverned: autonomous cyber weapons (ACWs) deployed…Automated Post-Exploitation Attack Chain Exploration Based on a Phase-guided Hybrid Planning-Monte Carlo Tree Search Algorithm
Advanced attackers in post-exploitation scenarios increasingly craft attack chains that combine benign operations, configuration errors, and vulnerability exploitation to achieve objectives like…Data-Efficient Backdoor Attacks on Code Models via Trigger-Neutralized Counterfactual Scoring
Pre-trained code models are exposed to backdoor poisoning, in which crafted training samples make the model misbehave on a trigger.DeepAVR: Deep Analysis via Multi-Agent Collaboration for Automated Vulnerability Repair
Automated Vulnerability Repair (AVR) has emerged as a critical defense against software security flaws, aiming to triage and fix bugs autonomously.Beyond Copying: Lifelong Smart Contract Security Task Construction via Protocol Mutation
AI agents can inspect code and run tests to support smart contract security.Trusting the Tool: Asymmetric Deference of LLM Vulnerability Auditors to Static-Analysis Evidence
Pipelines that combine large language models (LLMs) with static analysis let the model consume the analyser's output as evidence, but whether the model distinguishes true from false evidence, and…