Private and Reliable Neural Network Inference
Nikola Jovanović, Marc Fischer, Samuel Steffen, Martin Vechev
2022Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security16 citationsDOI
Abstract
Reliable neural networks (NNs) provide important inference-time reliability guarantees such as fairness and robustness. Complementarily, privacy-preserving NN inference protects the privacy of client data. So far these two emerging areas have been largely disconnected, yet their combination will be increasingly important.
Topics & Concepts
InferenceRobustness (evolution)Computer scienceArtificial neural networkArtificial intelligenceReliability (semiconductor)Machine learningData miningPower (physics)Quantum mechanicsChemistryBiochemistryGenePhysicsAdversarial Robustness in Machine LearningPrivacy-Preserving Technologies in DataCryptography and Data Security