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cs.LG2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
Kristjan Greenewald, Yuancheng Yu, Hao Wang +1
Training generative models with differential privacy (DP) typically involves injecting noise into gradient updates or adapting the discriminator's training procedure. As a result,…
cs.LG2024
Fair Anomaly Detection For Imbalanced Groups
Ziwei Wu, Lecheng Zheng, Yuancheng Yu +3
Anomaly detection (AD) has been widely studied for decades in many real-world applications, including fraud detection in finance, and intrusion detection for cybersecurity, etc. Du…