Reachable Sets of Classifiers and Regression Models: (Non-)Robustness Analysis and Robust Training
Authors: Anna-Kathrin Kopetzki, Stephan Günnemann | Published: 2020-07-28 | Updated: 2021-05-12
Computational Efficiency
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion Detection
Authors: Fares Meghdouri, Maximilian Bachl, Tanja Zseby | Published: 2020-07-27 | Updated: 2020-10-15
Scaling Polyhedral Neural Network Verification on GPUs
Authors: Christoph Müller, François Serre, Gagandeep Singh, Markus Püschel, Martin Vechev | Published: 2020-07-20 | Updated: 2021-05-18
Differentially Private Simple Linear Regression
Authors: Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam Smith, Salil Vadhan | Published: 2020-07-10
Stochastic Linear Bandits Robust to Adversarial Attacks
Authors: Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett | Published: 2020-07-07 | Updated: 2020-10-27
Robust Learning with Frequency Domain Regularization
Authors: Weiyu Guo, Yidong Ouyang | Published: 2020-07-07
Black-box Adversarial Example Generation with Normalizing Flows
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2020-07-06
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
Authors: Arpita Patra, Ajith Suresh | Published: 2020-05-18
Large-Scale Secure XGB for Vertical Federated Learning
Authors: Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang | Published: 2020-05-18 | Updated: 2021-09-02
Prive-HD: Privacy-Preserved Hyperdimensional Computing
Authors: Behnam Khaleghi, Mohsen Imani, Tajana Rosing | Published: 2020-05-14