# cross-model
14 artikelengetagd met “cross-model”
Assessment van cross-model transfer
Assessment of attack transferability across model families, versions, and providers.
Augustus 2026: multi-model boss rush
Chain attacks across GPT-4, Claude, and Gemini in a complex multi-model system, exploiting trust boundaries and handoff points between models.
Overdraagbare aanvallen ontwikkelen
Cross-model aanvalstechnieken, overdraagbaarheid meten, ensemble-optimalisatie, en praktische methodes om transfer te testen voor AI red teams.
Onderzoek naar de overdraagbaarheid van injection
Onderzoek naar hoe prompt injection-technieken overdraagbaar zijn tussen verschillende modelfamilies en -groottes.
Cross-model transfer-aanvallen
Develop attacks on open-source models that transfer to closed-source commercial APIs.
Lab: transfer-aanvallen tussen modellen
Test whether jailbreaks discovered on one language model transfer effectively to others, building a systematic methodology for cross-model vulnerability research.
Differentieel testen over modellen heen
Use differential testing to find behavior inconsistencies across model providers.
Lab: ontwikkeling van transfer-aanvallen
Hands-on lab for crafting adversarial prompts on open-weight models like Llama that transfer to closed-source models like Claude and GPT-4, using iterative refinement and cross-model evaluation.
Lab: ontwikkeling van transfer-aanvallen (lab voor gevorderden)
Develop adversarial attacks on open-source models that transfer to closed-source models, leveraging weight access for black-box exploitation.
Cross-model GCG transfer-aanvallen
Generate adversarial suffixes on open-source models and test their transferability to commercial APIs.
Cross-model vergelijking
Methodology for systematically comparing LLM security across model families, including standardized evaluation frameworks, architectural difference analysis, and comparative testing approaches.
Overdraagbaarheid van jailbreaks
Analysis of which jailbreaks transfer across models and why, including universal vs model-specific techniques, transfer attack methodology, and factors that determine portability.
Veiligheidsvergelijking tussen modellen
Comparing safety across GPT-4, Claude, Gemini, and open-weight models using standardized test suites, failure mode analysis, and defense coverage gap identification.
Tokenizer-kwetsbaarheden tussen modellen
Comprehensive analysis of tokenizer vulnerabilities across major model families.