conftrace_

privacy preservation

380 papers

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Co-occurring keywords

federated learning (1333) large language model (13587) differential privacy (1016) machine unlearning (290) privacy protection (162) model compression (3302) knowledge distillation (3725) adversarial learning (1595) language model (4599) privacy-preserving learning (117)

Papers

Traffic Updates: Saying a Lot While Revealing a Little AAAI 2019
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? INTERSPEECH 2019
Multi-Agent Visualization for Explaining Federated Learning IJCAI 2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness IJCAI 2019
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models NAACL 2019
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019
How to Build User Simulators to Train RL-based Dialog Systems EMNLP 2019
The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps Towards a Common Understanding INTERSPEECH 2019
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation INTERSPEECH 2019
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data NIPS 2019
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud ACML 2018
Corrupt Bandits for Preserving Local Privacy ALT 2018
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms ICML 2018
Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings MLHC 2018
Estimating Latent People Flow without Tracking Individuals IJCAI 2018
Towards Robust and Privacy-preserving Text Representations ACL 2018
Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy IJCAI 2018
Anonymizing k Facial Attributes via Adversarial Perturbations IJCAI 2018
Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models PGM 2018
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM NIPS 2017
ViewMap: Sharing Private In-Vehicle Dashcam Videos NSDI 2017
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics NSDI 2017
Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017
Fast Distributed Submodular Cover: Public-Private Data Summarization NIPS 2016
Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015