#artificial intelligence
Feb 2026
Temperature Scaling Attack Disrupting Model Confidence in Federated Learning
The Temperature Scaling Attack (TSA), a training-time attack that degrades calibration while preserving accuracy, is presented, establishing calibration integrity as a critical attack surface in federated learning.
Kichang Lee, Jaeho Jin, JaeYeon Park et al.
· arXiv.org · 0 citations