data augmentation 1membership inference attack 1model memorization 1privacy 1synthetic data 1text-to-image generation 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CR2026
When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training
Na Li, Boyu Kuang, Hongsheng Hu +4
The paper shows that mixing text‑to‑image synthetic data with real data during training can increase privacy leakage of the real samples, and introduces a method (RSMixLeak) to mea…
cs.CR2026
ArmSSL: Adversarial Robust Black-Box Watermarking for Self-Supervised Learning Pre-trained Encoders
Yongqi Jiang, Yansong Gao, Boyu Kuang +3
Self-supervised learning (SSL) encoders are invaluable intellectual property (IP). However, no existing SSL watermarking for IP protection can concurrently satisfy the following tw…