Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning
Authors: Mohammad Aghapour, Aidin Ferdowsi, Walid Saad | Published: 2021-10-06
Algorithm
Task-aware Privacy Preservation for Multi-dimensional Data
Authors: Jiangnan Cheng, Ao Tang, Sandeep Chinchali | Published: 2021-10-05 | Updated: 2022-08-08
Machine learning attack on copy detection patterns: are 1×1 patterns cloneable?
Authors: Roman Chaban, Olga Taran, Joakim Tutt, Taras Holotyak, Slavi Bonev, Slava Voloshynovskiy | Published: 2021-10-05 | Updated: 2021-10-06
Label differential privacy via clustering
Authors: Hossein Esfandiari, Vahab Mirrokni, Umar Syed, Sergei Vassilvitskii | Published: 2021-10-05
An energy-based model for neuro-symbolic reasoning on knowledge graphs
Authors: Dominik Dold, Josep Soler Garrido | Published: 2021-10-04
Secure Machine Learning over Relational Data
Authors: Qiyao Luo, Yilei Wang, Zhenghang Ren, Ke Yi, Kai Chen, Xiao Wang | Published: 2021-09-30
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Authors: Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh | Published: 2021-09-29 | Updated: 2021-12-05
Unrolling SGD: Understanding Factors Influencing Machine Unlearning
Authors: Anvith Thudi, Gabriel Deza, Varun Chandrasekaran, Nicolas Papernot | Published: 2021-09-27 | Updated: 2022-03-02
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
Authors: Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Rasmus Pagh, Amer Sinha | Published: 2021-09-27
Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning
Authors: Qizhi Zhang, Sijun Tan, Lichun Li, Yun Zhao, Dong Yin, Shan Yin | Published: 2021-09-24 | Updated: 2022-05-19