Papers
Privacy-Preserving Obfuscation of Critical Infrastructure Networks
Ferdinando Fioretto, Terrence W.K. Mak, Pascal Van Hentenryck
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
Baoxiang Wang, Nidhi Hegde
Privacy-Preserving Siamese Feature Extraction for Gender Recognition versus Speaker Identification
Alexandru Nelus, Silas Rech, Timm Koppelmann et al.
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation
Andreas Nautsch, Jose Patino, Amos Treiber et al.
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
Quanming Yao, Xiawei Guo, James Kwok et al.
Privacy-Preserving Variational Information Feature Extraction for Domestic Activity Monitoring versus Speaker Identification
Alexandru Nelus, Janek Ebbers, Reinhold Haeb-Umbach et al.
Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery
Ries Uittenbogaard, Clint Sebastian, Julien Vijverberg et al.
Private Center Points and Learning of Halfspaces
Amos Beimel, Shay Moran, Kobbi Nissim et al.
Private Hypothesis Selection
Mark Bun, Gautam Kamath, Thomas Steinke et al.
Private Learning Implies Online Learning: An Efficient Reduction
Alon Gonen, Elad Hazan, Shay Moran
Privately Learning High-Dimensional Distributions
Gautam Kamath, Jerry Li, Vikrant Singhal et al.
Private Model Compression via Knowledge Distillation
Ji Wang, Weidong Bao, Lichao Sun et al.
Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily, Vitaly Feldman, Kunal Talwar et al.
Private Testing of Distributions via Sample Permutations
Maryam Aliakbarpour, Ilias Diakonikolas, Daniel Kane et al.
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang, Justin M Solomon
Proactive Human-Machine Conversation with Explicit Conversation Goal
Wenquan Wu, Zhen Guo, Xiangyang Zhou et al.
Probabilistic Alternating-Time µ-Calculus
Fu Song, Yedi Zhang, Taolue Chen et al.
Probabilistic Deep Ordinal Regression Based on Gaussian Processes
Yanzhu Liu, Fan Wang, Adams Wai Kin Kong
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels
Kun Yi, Jianxin Wu
Probabilistic Face Embeddings
Yichun Shi, Anil K. Jain
Probabilistic Forecasting with Spline Quantile Function RNNs
Jan Gasthaus, Konstantinos Benidis, Yuyang Wang et al.
Probabilistic-Logic Bots for Efficient Evaluation of Business Rules Using Conversational Interfaces
Joseph Bockhorst, Devin Conathan, Glenn M Fung
Probabilistic Logic Neural Networks for Reasoning
Meng Qu, Jian Tang
Probabilistic Logic Programming with Beta-Distributed Random Variables
Federico Cerutti, Lance Kaplan, Angelika Kimmig et al.
Probabilistic Model Checking of Robots Deployed in Extreme Environments
Xingyu Zhao, Valentin Robu, David Flynn et al.