PPMLP@CCS

Publications

2020

PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, Virtual Event, USA, November, 2020 PPMLP@CCS (2020)
Pu Duan
Introduction to Secure Collaborative Intelligence (SCI) Lab. PPMLP@CCS (2020)
Pratyush Mishra, Ryan Lehmkuhl, Akshayaram Srinivasan, Wenting Zheng, Raluca Ada Popa
Delphi: A Cryptographic Inference System for Neural Networks. PPMLP@CCS (2020)
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. PPMLP@CCS (2020)
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. PPMLP@CCS (2020)
Siam U. Hussain, Baiyu Li, Farinaz Koushanfar, Rosario Cammarota
TinyGarble2: Smart, Efficient, and Scalable Yao's Garble Circuit. PPMLP@CCS (2020)
Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification. PPMLP@CCS (2020)
Jianping Cai, Ximeng Liu, Yingjie Wu
SVM Learning for Default Prediction of Credit Card under Differential Privacy. PPMLP@CCS (2020)
Xiaoyun Xu, Jingzheng Wu, Mutian Yang, Tianyue Luo, Xu Duan, Weiheng Li, Yanjun Wu, Bin Wu
Information Leakage by Model Weights on Federated Learning. PPMLP@CCS (2020)
Jinyin Chen, Huiling Xu, Jinhuan Wang, Qi Xuan, Xuhong Zhang
Adversarial Detection on Graph Structured Data. PPMLP@CCS (2020)
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. PPMLP@CCS (2020)
Tom Farrand, Fatemehsadat Mireshghallah, Sahib Singh, Andrew Trask
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy. PPMLP@CCS (2020)
Thomas Schneider
Engineering Privacy-Preserving Machine Learning Protocols. PPMLP@CCS (2020)
Raluca Ada Popa
MC2: A Secure Collaborative Computation Platform. PPMLP@CCS (2020)
Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting
CryptoSPN: Expanding PPML beyond Neural Networks. PPMLP@CCS (2020)
Yupeng Zhang
Zero-Knowledge Proofs for Machine Learning. PPMLP@CCS (2020)
Zuobin Ying, Yun Zhang, Ximeng Liu
Privacy-Preserving in Defending against Membership Inference Attacks. PPMLP@CCS (2020)