What is recorded here?
Studied discrete optimization of adversarial input suffixes across prompts and models, reporting that inputs optimized against accessible models can transfer to some other aligned language models and expose safeguard weaknesses.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
This extends earlier discrete prompt-optimization work. Transferability is an empirical result over selected systems and objectives, not universality over all models, inputs or defenses; optimization requires resources and access assumptions.
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People and systems
Andy Zou; Zifan Wang; J. Zico Kolter; Matt Fredrikson
Source-listed authors for the exact contribution; experimental subjects are not autonomous scientific authors. Source support and predecessor work retain separate roles. Individual effort shares and unresolved identities are not inferred.
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English catalogue narrative
Zou and colleagues: transferable adversarial stress tests for aligned language models
Studied discrete optimization of adversarial input suffixes across prompts and models, reporting that inputs optimized against accessible models can transfer to some other aligned language models and expose safeguard weaknesses.
Scientific scope
This extends earlier discrete prompt-optimization work. Transferability is an empirical result over selected systems and objectives, not universality over all models, inputs or defenses; optimization requires resources and access assumptions.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Andy Zou; Zifan Wang; J. Zico Kolter; Matt Fredrikson
Source-listed authors for the exact contribution; experimental subjects are not autonomous scientific authors. Source support and predecessor work retain separate roles. Individual effort shares and unresolved identities are not inferred.