Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: How To Backdoor Federated Learning
Mitigating Sybils in Federated Learning Poisoning
Improved Accounting for Differentially Private Learning.
A Little Is Enough: Circumventing Defenses For Distributed Learning
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Differentially Private Bayesian Learning on Distributed Data
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers
Machine learning with adversaries: byzantine tolerant gradient descent
Inference Attacks Against Collaborative Learning.
Model-Agnostic Private Learning
10x10: A Case Study in Highly-Programmable and Energy-Efficient Heterogeneous Federated Architecture
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
Boosting and Differential Privacy
Concentrated Differential Privacy
Exploiting Unintended Feature Leakage in Collaborative Learning
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics
Privacy preserving Back-propagation neural network learning over arbitrarily partitioned data
Learning Privately from Multiparty Data
Pre-pulse suppression on Eros at AWE
Theory of Outlier Ensembles
Mining geographic-temporal-semantic patterns in trajectories for location prediction
Membership Inference Attacks Against Machine Learning Models
A novel reconfigurable origami spring antenna