The authors evaluated efficiency-oriented training strategies across computer vision and language models, comparing efficient variants to standard counterparts.
Training efficiency gains produce measurable security trade-offs in AI models
Vision and language models trained with computationally cheaper methods show increased vulnerability to adversarial and privacy attacks, and zero-RL alignment introduces new brittleness.
Research Lab
Yiyong Liu · Jun Sakuma · Michael Backes · Rui Wen
CISPA Helmholtz Center for Information Security · Institute of Science Tokyo
Research Digest··2 min read
Liu et al.
Why this paper
From CISPA Helmholtz Center for Information Security and Institute of Science Tokyo
In one line
Efficient training methods for foundation models increase susceptibility to adversarial and privacy attacks.
What we could check
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