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Security
Security audits, vulnerabilities, compliance, auth, secrets, and safe automation
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Showing 11,353–11,376 of 29,770 skills
- Qt Puf Quantum Tunneling IomtQT-PUF: Quantum tunneling leakage-based physical unclonable function for implantable IoMT devices. Gate leakage PUF using process-induced CMOS variations with differential readout circuit. Entropy 0.9999998, power 96.04 nW/bit. Use when designing quantum-inspired hardware security for medical devices, implantable IoMT authentication, ultralow-power PUF circuits, or CMOS process-variation-based cryptographic primitives.Votes: 0GitHub stars: 3
- Post Quantum Secure PharmacovigilanceNIST-standard PQC migration (ML-KEM + ML-DSA) for pharmacovigilance and healthcare data systems. Use when designing post-quantum security for adverse event reporting, clinical observation systems, or any healthcare pipeline handling sensitive patient data that needs quantum-resistant cryptography.Votes: 0GitHub stars: 3
- Federated Learning With Quantum Computing And Fully Homomorphic Encryption A Novel Computing Paradigm Shift In Privacypreserving Ml**arXiv ID:** 2409.11430 **Authors:** Siddhant Dutta, Pavana P Karanth, Pedro Maciel Xavier, Iago Leal de Freitas, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira **Published:** 2024-09-14T01:23:26Z **Abstract:** The widespread deployment of products powered by machine learning models is raising concerns around data privacy and information security worldwide. To address this issue, Federated Learning was first proposed as a privacy-preserving alternative to conventio...Votes: 0GitHub stars: 3
- Uncloneable Encryption MicrocryptUncloneable encryption methodology in microcrypt — boosting one-time secure uncloneable bits to many-time secure multi-bit uncloneable encryption. Reduces assumptions for existence of uncloneable indistinguishability in symmetric key encryption. Use when analyzing quantum encryption schemes, designing ciphertext cloning prevention protocols, or formalizing uncloneable indistinguishability in quantum cryptography. arXiv: 2605.27647Votes: 0GitHub stars: 3
- Squeezed State Quantum Randomness GenerationClosed-form Shannon-rate methodology for semi-device-independent quantum randomness generation using squeezed-coherent BPSK sources. Derives analytical bounds on certified randomness rates accounting for detector side information. Applicable to quantum key distribution, medical data security, and cryptographic systems. Activation: quantum randomness generation, squeezed state QRNG, semi-device-independent, BPSK quantum, certified randomness, Shannon rate quantumVotes: 0GitHub stars: 3
- Quantum Safe Blockchain InfrastructureArchitecture framework for building post-quantum secure blockchain infrastructure for embodied AI and cyber-physical-social systems. Covers PQC integration, interoperability patterns, trustworthy data provenance, and incentive-compatible decentralized data economies. Use when designing quantum-safe blockchain architectures, planning PQC migration for distributed systems, or building data provenance infrastructure for AI agents.Votes: 0GitHub stars: 3
- Quantum Information Protocol AnalyzerAnalyze quantum information protocols (QKD, quantum cryptography, quantum communication) from research papers. Extract protocol design patterns, security analysis methods, and implementation guidelines. Triggered by: quantum protocol, QKD analysis, quantum cryptography, quantum communication protocol, 量子协议分析, quantum information security.Votes: 0GitHub stars: 3
- Quantum Differential Privacy GeometryFramework for analyzing how quantum entanglement reshapes the geometry of quantum differential privacy, characterizing privacy-utility tradeoffs in quantum information processing systems.Votes: 0GitHub stars: 3
- Qml Adversarial Robustness SokSoK: Critical Evaluation of Quantum Machine Learning for Adversarial Robustness. Comprehensive systematization of adversarial attacks on QML systems across black-box, gray-box, and white-box threat models with empirical evaluation of poisoning, backdoor, and evasion attacks. Reveals accuracy-robustness trade-offs between encoding schemes and proposes threat-aware, noise-resilient framework for secure QML deployment. Trigger: QML security, quantum adversarial robustness, quantum classifier att...Votes: 0GitHub stars: 3
- Qkd Efficiency Mismatch CountermeasurePractical countermeasure methodology against QKD attacks exploiting detection efficiency mismatch, including time-shift attacks. Uses temporal filtering and detector calibration to ensure uniform detection probability across all degrees of freedom, preventing eavesdropper from gaining information without detection. arXiv:2605.22580Votes: 0GitHub stars: 3
- Post Quantum Secure PharmacovigilanceNIST-standard PQC migration (ML-KEM + ML-DSA) for pharmacovigilance and healthcare data systems. Use when designing post-quantum security for adverse event reporting, clinical observation systems, or any healthcare pipeline handling sensitive patient data that needs quantum-resistant cryptography.Votes: 0GitHub stars: 3
- Post Quantum Healthcare MigrationPost-Quantum Cryptography (PQC) migration framework for IoT-based healthcare systems. Provides systematic approach for transitioning healthcare infrastructure from classical to post-quantum cryptographic standards (NIST ML-KEM, ML-DSA) while maintaining HIPAA/GDPR compliance. Activation: post-quantum healthcare, PQC migration IoT healthcare, healthcare cryptography upgrade, medical device PQC, HIPAA quantum securityVotes: 0GitHub stars: 3
- Post Quantum Cryptographic Protocol AnalysisPost-quantum cryptographic analysis of network protocol stacks and message transformations. Evaluates security of cryptographic operations across multiple protocol layers against quantum attacks. Use when: (1) analyzing protocol stack security, (2) evaluating post-quantum cryptography readiness, (3) designing quantum-resistant protocols, (4) auditing cryptographic transformations across layers, (5) migrating systems to post-quantum algorithms.Votes: 0GitHub stars: 3
- Equation Asymmetry Information SecurityEquation Asymmetry Degree (EAD) framework for unifying secrecy and covertness in information-theoretic security. EAD = 1 - r/n governs both equivocation and detection error probability. Applies to MIMO wiretap, secure network coding, FRFT multi-angle transmission, traffic steganography, post-quantum security. Use when analyzing information-theoretic security, secrecy capacity, covertness, or designing secure communication protocols.Votes: 0GitHub stars: 3
- One Shot Quantum SignaturesQuantum algorithm for one-shot signatures using affine coset superposition and puncturable PRFs. Provides circuit-level implementation for delegated signatures, secured token transfer, and publicly verifiable randomness. Use when implementing quantum signature schemes, building quantum-secure authentication protocols, or designing quantum token systems.Votes: 0GitHub stars: 3
- Secure Coding Drift Llm PqcGamified methodology for detecting and fixing secure coding drift in LLM-assisted post-quantum cryptography development. Identifies gradual degradation of secure coding practices from sustained reliance on LLM-generated code in security-critical domains.Votes: 0GitHub stars: 3
- Measuring Llms Impact N Day ExploitsAnthropic research (Jun 8, 2026) — Methodology for measuring large language model impact on N-day exploit development and vulnerability exploitation timelines.Votes: 0GitHub stars: 3
- Spike Ptsd AdversarialAdversarial robustness analysis for Spiking Neural Networks. Spike-Triggered Decoupled (SpikT) attack methodology exploiting temporal vulnerability and STDP-induced sensitivity. Covers vulnerability analysis, attack implementation, and defense strategies.Votes: 0GitHub stars: 3
- Brain Prompt Injection Bci Llm SecurityBrain-Prompt Injection security audit framework for BCI-LLM agents with route-safety audit contract, C3 decomposition, and split-conformal calibrationVotes: 0GitHub stars: 3
- Neuron Photonic Spiking LaserPhotonic spiking neurons using multi-junction VCSELs (NeuronSEL) with negative differential resistance. Neuromorphic photonics for ultra-fast optical information processing. Triggers: photonic neuron, VCSEL, neuromorphic photonics, spiking laser, optical computing.Votes: 0GitHub stars: 3
- N Day Exploit AssessmentMethodology for evaluating LLM capability to develop N-day exploits from public patches — measuring PoC generation, full exploit chain development, and patch-gap risk assessment.Votes: 0GitHub stars: 3
- Neo Agentic Program AnalysisNeo agentic program analysis framework for detecting privilege escalation in polyglot microservices. Combines LLM-based agents with classic program analysis for cross-service vulnerability detection across multiple languages. Uses dynamic analysis planning, adaptive code search primitives, and semantic validation. Use when: analyzing microservice security, detecting privilege escalation, performing agentic code analysis across polyglot codebases, building LLM-assisted program analysis tools, ...Votes: 0GitHub stars: 3
- Know Your Agent Reconnaissance Driven Pentesting OSkill generated from arXiv paper 2607.19837: Know Your Agent: Reconnaissance-Driven Pentesting of AI AgentsVotes: 0GitHub stars: 3
- Agentic Coding SecuritySecurity framework for protecting agentic AI coding assistants from indirect prompt injection attacks via external artifacts. Addresses the risk that hidden instructions in code repositories, documentation, StackOverflow posts, and other external artifacts can hijack coding agents, turning them into attacker shells. Use when: evaluating AI coding assistant security, designing secure agent workflows, auditing agent attack surfaces, implementing defense against prompt injection in agentic syste...Votes: 0GitHub stars: 3