# model-extraction
19 artikelengetagd met “model-extraction”
Beoordeling van modelextractie en privacy
Test your advanced knowledge of model extraction, model stealing, membership inference, and intellectual property theft attacks against AI systems with 9 questions.
Casestudy: modelextractie in de praktijk
Analysis of documented model extraction attacks against commercial ML APIs.
Data- en trainingsbeveiliging
Security vulnerabilities in the AI data pipeline, covering RAG exploitation, training data attacks, model extraction and intellectual property theft, and privacy attacks against deployed models.
API-gebaseerde modelextractie
Deep dive into extracting proprietary model capabilities through systematic API querying, active learning strategies, logprob exploitation, soft-label distillation, and evasion of query anomaly detection systems.
Modelextractie en diefstal van intellectueel eigendom
Methodology for black-box model extraction, API-based distillation, side-channel extraction, watermark removal, and model fingerprinting bypass targeting deployed AI systems.
Side-channel-aanvallen op modellen
Deep dive into inferring model architecture, size, and deployment details through timing analysis, cache-based attacks, power/electromagnetic side channels, embedding endpoint exploitation, and architecture fingerprinting.
Ontwijken van watermerken en fingerprints
Deep dive into detecting and removing output watermarks, degrading weight watermarks, evading model fingerprinting, building provenance-stripping pipelines, and understanding the legal landscape of model ownership verification.
Embedding-modelextractie
Het gedrag van een embeddingmodel extraheren door systematisch de API te bevragen.
Aanvallen op AI voor algoritmische handel
Attack techniques for AI-powered trading systems including market manipulation via adversarial inputs, model extraction from trading APIs, flash crash induction, and sentiment analysis poisoning.
AI-aanvallen op medische beeldvorming
Adversarial attacks on medical imaging AI systems including perturbations on X-rays, CT scans, and MRIs, GAN-based fake medical image generation, and model extraction from diagnostic imaging APIs.
Geavanceerde rate-limitingstrategieën voor LLM-API-endpoints
Het ontwerpen, aanvallen en verdedigen van rate-limitingsystemen voor LLM-inferentie-API's om misbruik, modelextractie en resource-uitputting te voorkomen
Modelextractie via API-toegang
Extract a functionally equivalent model using only API query access.
Modelextractie via knowledge distillation
Extract a functionally equivalent model from a commercial API using systematic distillation queries.
Lab: basale modelextractie
Hands-on lab for API-based model extraction attacks, querying a target model to approximate its behavior, measuring fidelity, and understanding query budgets.
Modelextractie uit multimodale systemen
Technieken voor het extraheren van modelcapaciteiten, -gewichten en architectuurdetails uit multimodale AI-systemen via visuele, audio- en cross-modale querystrategieën.
Trainingsdata extraheren
Technieken om gememoriseerde trainingsdata, system prompts en privé-informatie uit LLM's te extraheren via gerichte queries en membership inference-aanvallen.
Distillatiegebaseerde modelextractie
Knowledge distillation gebruiken voor modeldiefstal: student-teacher-extractieaanvallen, API-gebaseerde distillatie, taakspecifieke extractie, en verdediging tegen distillatiegebaseerde modeldiefstal.
Walkthrough: modelextractie-aanval
Walkthrough of extracting model weights/behavior through systematic API querying.
Redteaming van AWS SageMaker
End-to-end walkthrough for red teaming ML models deployed on AWS SageMaker: endpoint enumeration, IAM policy analysis, model extraction testing, inference pipeline exploitation, and CloudTrail log review.