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ORCIDPPMLP@CCS 2020: Virtual Event, USA
- Benyu Zhang, Raluca Ada Popa, Matei Zaharia, Guofei Gu, Shouling Ji:
PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, Virtual Event, USA, November, 2020. ACM 2020, ISBN 978-1-4503-8088-1 - Pu Duan:
Introduction to Secure Collaborative Intelligence (SCI) Lab. 1 - Thomas Schneider
:
Engineering Privacy-Preserving Machine Learning Protocols. 3-4 - Raluca Ada Popa:
MC2: A Secure Collaborative Computation Platform. 5 - Yupeng Zhang:
Zero-Knowledge Proofs for Machine Learning. 7 - Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting:
CryptoSPN: Expanding PPML beyond Neural Networks. 9-14 - Tom Farrand, Fatemehsadat Mireshghallah, Sahib Singh, Andrew Trask:
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy. 15-19 - Andrew Law, Chester Leung, Rishabh Poddar, Raluca Ada Popa, Chenyu Shi, Octavian Sima, Chaofan Yu, Xingmeng Zhang, Wenting Zheng:
Secure Collaborative Training and Inference for XGBoost. 21-26 - Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, Raluca Ada Popa:
Delphi: A Cryptographic Inference System for Neural Networks. 27-30 - Xiaoyun Xu, Jingzheng Wu, Mutian Yang, Tianyue Luo, Xu Duan, Weiheng Li, Yanjun Wu, Bin Wu:
Information Leakage by Model Weights on Federated Learning. 31-36 - Jinyin Chen, Huiling Xu, Jinhuan Wang, Qi Xuan, Xuhong Zhang:
Adversarial Detection on Graph Structured Data. 37-41 - Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame:
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. 43-45 - Wen-jie Lu, Yixuan Fang, Zhicong Huang, Cheng Hong, Chaochao Chen, Hunter Qu, Yajin Zhou, Kui Ren:
Faster Secure Multiparty Computation of Adaptive Gradient Descent. 47-49 - Jianping Cai, Ximeng Liu, Yingjie Wu:
SVM Learning for Default Prediction of Credit Card under Differential Privacy. 51-53 - Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach:
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification. 55-59 - Zuobin Ying, Yun Zhang, Ximeng Liu:
Privacy-Preserving in Defending against Membership Inference Attacks. 61-63 - Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota:
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. 65-67
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