Enhancement attacks in biomedical machine learning
Authors: Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost | Published: 2023-01-05 | Updated: 2023-08-16
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Privacy and Efficiency of Communications in Federated Split Learning
Authors: Zongshun Zhang, Andrea Pinto, Valeria Turina, Flavio Esposito, Ibrahim Matta | Published: 2023-01-04 | Updated: 2023-01-07
Backdoor Attacks Against Dataset Distillation
Authors: Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang | Published: 2023-01-03
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector
Authors: Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam | Published: 2023-01-03
Ranking Differential Privacy
Authors: Shirong Xu, Will Wei Sun, Guang Cheng | Published: 2023-01-02
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain
Authors: Vesal Ahsani, Ali Rahimi, Mehdi Letafati, Babak Hossein Khalaj | Published: 2023-01-01 | Updated: 2023-01-11
DPack: Efficiency-Oriented Privacy Budget Scheduling
Authors: Pierre Tholoniat, Kelly Kostopoulou, Mosharaf Chowdhury, Asaf Cidon, Roxana Geambasu, Mathias Lécuyer, Junfeng Yang | Published: 2022-12-26 | Updated: 2024-10-10
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
Authors: Ahmed Salem, Giovanni Cherubin, David Evans, Boris Köpf, Andrew Paverd, Anshuman Suri, Shruti Tople, Santiago Zanella-Béguelin | Published: 2022-12-21 | Updated: 2023-04-20
Learned Systems Security
Authors: Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot | Published: 2022-12-20 | Updated: 2023-01-10
Mobile Augmented Reality with Federated Learning in the Metaverse
Authors: Xinyu Zhou, Jun Zhao | Published: 2022-12-16 | Updated: 2023-11-07