Federated Learning using Smart Contracts on Blockchains, based on Reward Driven Approach
Authors: Monik Raj Behera, Sudhir Upadhyay, Suresh Shetty | Published: 2021-07-19 | Updated: 2022-03-26
Deceptive Logic Locking for Hardware Integrity Protection against Machine Learning Attacks
Authors: Dominik Sisejkovic, Farhad Merchant, Lennart M. Reimann, Rainer Leupers | Published: 2021-07-19
Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms
Authors: Haemin Lee, Joongheon Kim | Published: 2021-07-19
A Survey on Data-driven Software Vulnerability Assessment and Prioritization
Authors: Triet H. M. Le, Huaming Chen, M. Ali Babar | Published: 2021-07-18 | Updated: 2022-04-04
LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables
Authors: Rachit Rajat, Yongqin Wang, Murali Annavaram | Published: 2021-07-16 | Updated: 2022-06-30
Revisiting IoT Device Identification
Authors: Roman Kolcun, Diana Andreea Popescu, Vadim Safronov, Poonam Yadav, Anna Maria Mandalari, Richard Mortier, Hamed Haddadi | Published: 2021-07-16
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
Authors: Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed Zamzam | Published: 2021-07-14
On the impossibility of non-trivial accuracy under fairness constraints
Authors: Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida, Frank Valencia | Published: 2021-07-14 | Updated: 2021-11-23
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
Authors: Sean Kulinski, Saurabh Bagchi, David I. Inouye | Published: 2021-07-14
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning
Authors: Jiacheng Liang, Songze Li, Bochuan Cao, Wensi Jiang, Chaoyang He | Published: 2021-07-12 | Updated: 2021-11-15