Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification
Authors: Sina Däubener, Asja Fischer | Published: 2020-08-07 | Updated: 2020-08-17
Optimizing Information Loss Towards Robust Neural Networks
Authors: Philip Sperl, Konstantin Böttinger | Published: 2020-08-07 | Updated: 2020-09-29
Deep Active Learning with Crowdsourcing Data for Privacy Policy Classification
Authors: Wenjun Qiu, David Lie | Published: 2020-08-07
Stronger and Faster Wasserstein Adversarial Attacks
Authors: Kaiwen Wu, Allen Houze Wang, Yaoliang Yu | Published: 2020-08-06
New Directions in Automated Traffic Analysis
Authors: Jordan Holland, Paul Schmitt, Nick Feamster, Prateek Mittal | Published: 2020-08-06 | Updated: 2021-10-19
Data Minimization for GDPR Compliance in Machine Learning Models
Authors: Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash | Published: 2020-08-06
Training DNN Model with Secret Key for Model Protection
Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-08-06
Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection
Authors: MohammadNoor Injadat, Fadi Salo, Ali Bou Nassif, Aleksander Essex, Abdallah Shami | Published: 2020-08-05
Robust Deep Reinforcement Learning through Adversarial Loss
Authors: Tuomas Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng | Published: 2020-08-05 | Updated: 2021-11-10
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Authors: Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu | Published: 2020-08-05