GitHub
networking
Retrofit, OkHttp, REST APIs, JSON serialization, network security.
Skills IA Contenu et médias
Découvrez les skills Contenu et médias, comparez leurs dépôts et consultez leurs instructions.
Catégories: Contenu et médias
Contenu et médias Effacer les filtres
Explorer
GitHub
production
Unit testing, performance optimization, security implementation, Play Store deployment.
GitHub
architecture
MVVM pattern, Clean Architecture, Repository pattern, dependency injection, SOLID principles.
GitHub
data
Room ORM, SQLite, SharedPreferences, DataStore, encryption.
GitHub
platform
Android core components lifecycle, Activities, Fragments, Services, Intent system.
GitHub
fundamentals
Master Kotlin syntax, OOP principles, SOLID practices, functional programming, and data structures.
GitHub
ui
XML layouts, ConstraintLayout, Jetpack Compose, Material Design 3.
GitHub
vulnerability-discovery
Systematic vulnerability finding, threat modeling, and attack surface analysis for AI/LLM security assessments
GitHub
defense-implementation
Implement mitigations, create input filters, design output guards, and build defensive prompting for LLM security
GitHub
responsible-disclosure
Ethical vulnerability reporting, coordinated disclosure, and bug bounty participation for AI systems
GitHub
red-team-frameworks
Tools and frameworks for AI red teaming including PyRIT, garak, Counterfit, and custom attack automation
GitHub
adversarial-examples
Generate adversarial inputs, edge cases, and boundary test payloads for stress-testing LLM robustness
GitHub
safety-filter-bypass
Techniques to test and bypass AI safety filters, content moderation systems, and guardrails for security assessment
GitHub
rag-exploitation
Attack techniques for Retrieval-Augmented Generation systems including knowledge base poisoning
GitHub
infrastructure-security
Securing AI/ML infrastructure including model storage, API endpoints, and compute resources
GitHub
data-poisoning
Test AI training pipelines for data poisoning vulnerabilities and backdoor injection
GitHub
continuous-monitoring
Real-time monitoring and detection of adversarial attacks and model drift in production
GitHub
model-inversion
Privacy attacks to extract training data and sensitive information from AI models
GitHub
input-output-guardrails
Implementing safety filters, content moderation, and guardrails for AI system inputs and outputs
GitHub
testing-methodologies
Structured approaches for AI security testing including threat modeling, penetration testing, and red team operations
GitHub
secure-deployment
Security best practices for deploying AI/ML models to production environments
GitHub
prompt-hacking
Advanced prompt manipulation including direct attacks, indirect injection, and multi-turn exploitation
GitHub
llm-jailbreaking
Advanced LLM jailbreaking techniques, safety mechanism bypass strategies, and constraint circumvention methods
GitHub
adversarial-training
Defensive techniques using adversarial examples to improve model robustness and security
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.