Differentially Private Simple Linear Regression
Authors: Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam Smith, Salil Vadhan | Published: 2020-07-10
計算効率
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
Android Malware Clustering using Community Detection on Android Packages Similarity Network
Authors: ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb | Published: 2020-05-12
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
Authors: Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi | Published: 2020-04-12
Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
Authors: Una-May O'Reilly, Jamal Toutouh, Marcos Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Luogo, Jonathan Kelly, Erik Hemberg | Published: 2020-04-07