Bounding Information Leakage in Machine Learning
Authors: Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida | Published: 2021-05-09 | Updated: 2023-03-07
メンバーシップ推論
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
Authors: Benjamin Zi Hao Zhao, Aviral Agrawal, Catisha Coburn, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kaafar, Darren Webb, Peter Dickinson | Published: 2021-03-12
Malware Classification with Word Embedding Features
Authors: Aparna Sunil Kale, Fabio Di Troia, Mark Stamp | Published: 2021-03-03
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Authors: Xinlei He, Yang Zhang | Published: 2021-02-08 | Updated: 2021-09-21
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Authors: Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang | Published: 2021-02-04 | Updated: 2021-10-06
Membership Inference Attack on Graph Neural Networks
Authors: Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla | Published: 2021-01-17 | Updated: 2021-12-18
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism
Authors: Jiasi Weng, Jian Weng, Hongwei Huang, Chengjun Cai, Cong Wang | Published: 2020-12-19
Black-box Model Inversion Attribute Inference Attacks on Classification Models
Authors: Shagufta Mehnaz, Ninghui Li, Elisa Bertino | Published: 2020-12-07
Unleashing the Tiger: Inference Attacks on Split Learning
Authors: Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi | Published: 2020-12-04 | Updated: 2021-11-04
TransMIA: Membership Inference Attacks Using Transfer Shadow Training
Authors: Seira Hidano, Takao Murakami, Yusuke Kawamoto | Published: 2020-11-30 | Updated: 2021-04-23