Scalable Privacy-Preserving Distributed Learning
Authors: David Froelicher, Juan R. Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux | Published: 2020-05-19 | Updated: 2021-07-14
Literature Database
Enhancing Certified Robustness via Smoothed Weighted Ensembling
Authors: Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong | Published: 2020-05-19 | Updated: 2021-02-23
Synthesizing Unrestricted False Positive Adversarial Objects Using Generative Models
Authors: Martin Kotuliak, Sandro E. Schoenborn, Andrei Dan | Published: 2020-05-19
FrameProv: Towards End-To-End Video Provenance
Authors: Mansoor Ahmed-Rengers | Published: 2020-05-19
On Intrinsic Dataset Properties for Adversarial Machine Learning
Authors: Jeffrey Z. Pan, Nicholas Zufelt | Published: 2020-05-19
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
Authors: Arpita Patra, Ajith Suresh | Published: 2020-05-18
An Overview of Privacy in Machine Learning
Authors: Emiliano De Cristofaro | Published: 2020-05-18
Universalization of any adversarial attack using very few test examples
Authors: Sandesh Kamath, Amit Deshpande, K V Subrahmanyam, Vineeth N Balasubramanian | Published: 2020-05-18 | Updated: 2022-10-28
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
A Survey on Unknown Presentation Attack Detection for Fingerprint
Authors: Jag Mohan Singh, Ahmed Madhun, Guoqiang Li, Raghavendra Ramachandra | Published: 2020-05-17