Song, Shuang

Practical and private (deep) learning without sampling or shuffling

Kairouz, P., McMahan, B., Song, S., Thakkar, O., Thakurta, A., & Xu, Z. (2021) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 52

Tempered Sigmoid Activations for Deep Learning with Differential Privacy

Papernot, N., Thakurta, A., Song, S., Chien, S., & Erlingsson, Ú. (2020) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 23

Comparison between eDNA and Traditional Morphological Methods for Fish Diversity Monitoring in Rivers

Yu, Y., Shao, M., Zhou, H., Su, F., Guan, P., Ding, L., Ma, T., Zhou, B., Xu, S., Song, S., et al. (2025) · Scientific Reports

Environmental DNA in Biodiversity StudiesFish Ecology and Management Studies

Cited by 3

Comparison between eDNA and traditional morphological methods for fish diversity monitoring in rivers

Yu, Y., Shao, M., Zhou, H., Su, F., Guan, P., Ding, L., Ma, T., Zhou, B., Xu, S., Song, S., et al. (2026) · Scientific Reports

Environmental DNA in Biodiversity StudiesFish Ecology and Management Studies

Cited by 3