Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
Authors: Jing Ma, Si-Ahmed Naas, Stephan Sigg, Xixiang Lyu | Published: 2021-04-14
Defending Against Adversarial Denial-of-Service Data Poisoning Attacks
Authors: Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger | Published: 2021-04-14 | Updated: 2021-11-30
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning
Authors: Heng Zhu, Qing Ling | Published: 2021-04-14 | Updated: 2022-04-11
Towards Causal Federated Learning For Enhanced Robustness and Privacy
Authors: Sreya Francis, Irene Tenison, Irina Rish | Published: 2021-04-14
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack
Authors: Luca Pajola, Mauro Conti | Published: 2021-04-13
Balboa: Bobbing and Weaving around Network Censorship
Authors: Marc B. Rosen, James Parker, Alex J. Malozemoff | Published: 2021-04-13
Sparse Coding Frontend for Robust Neural Networks
Authors: Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow | Published: 2021-04-12
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review
Authors: Mario Di Mauro, Giovanni Galatro, Giancarlo Fortino, Antonio Liotta | Published: 2021-04-11
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
Authors: Ayoub Benaissa, Bilal Retiat, Bogdan Cebere, Alaa Eddine Belfedhal | Published: 2021-04-07 | Updated: 2021-04-28
Plinius: Secure and Persistent Machine Learning Model Training
Authors: Peterson Yuhala, Pascal Felber, Valerio Schiavoni, Alain Tchana | Published: 2021-04-07 | Updated: 2021-04-08