Towards Privacy-Preserving Neural Architecture Search
Authors: Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss | Published: 2022-04-22
Privacy Protection Method
Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-based IIoT Networks
Authors: Abbas Yazdinejad, Ali Dehghantanha, Reza M. Parizi, Mohammad Hammoudeh, Hadis Karimipour, Gautam Srivastava | Published: 2022-04-21
Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems
Authors: Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta, Nael Abu-Ghazaleh, Andres Marquez, Kevin Barker | Published: 2022-03-30
Quantum Differential Privacy: An Information Theory Perspective
Authors: Christoph Hirche, Cambyse Rouzé, Daniel Stilck França | Published: 2022-02-22 | Updated: 2023-04-06
Antipodes of Label Differential Privacy: PATE and ALIBI
Authors: Mani Malek, Ilya Mironov, Karthik Prasad, Igor Shilov, Florian Tramèr | Published: 2021-06-07 | Updated: 2021-10-29
Differentially Empirical Risk Minimization under the Fairness Lens
Authors: Cuong Tran, My H. Dinh, Ferdinando Fioretto | Published: 2021-06-04 | Updated: 2022-09-08
On Privacy and Confidentiality of Communications in Organizational Graphs
Authors: Masoumeh Shafieinejad, Huseyin Inan, Marcello Hasegawa, Robert Sim | Published: 2021-05-27
Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs
Authors: Chen Chen, Xuanli He, Lingjuan Lyu, Fangzhao Wu | Published: 2021-05-23 | Updated: 2021-12-26
Privacy Amplification Via Bernoulli Sampling
Authors: Jacob Imola, Kamalika Chaudhuri | Published: 2021-05-21 | Updated: 2021-10-18
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
Authors: Xiaolin Chen, Shuai Zhou, Bei guan, Kai Yang, Hao Fan, Hu Wang, Yongji Wang | Published: 2021-05-20 | Updated: 2021-12-08