DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware
Authors: Hanieh Hashemi, Yongqin Wang, Murali Annavaram | Published: 2022-06-30
Privacy Risk Management
Private Graph Extraction via Feature Explanations
Authors: Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla | Published: 2022-06-29 | Updated: 2023-11-02
The Dark Side: Security Concerns in Machine Learning for EDA
Authors: Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Yiran Chen | Published: 2022-03-20
Defending against Reconstruction Attacks with Rényi Differential Privacy
Authors: Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles | Published: 2022-02-15
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
Authors: Alberto Bietti, Chen-Yu Wei, Miroslav Dudík, John Langford, Zhiwei Steven Wu | Published: 2022-02-10 | Updated: 2022-07-15
PrivFair: a Library for Privacy-Preserving Fairness Auditing
Authors: Sikha Pentyala, David Melanson, Martine De Cock, Golnoosh Farnadi | Published: 2022-02-08 | Updated: 2022-05-23
Membership Inference Attacks and Defenses in Neural Network Pruning
Authors: Xiaoyong Yuan, Lan Zhang | Published: 2022-02-07 | Updated: 2022-08-03
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
Authors: Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk | Published: 2022-02-02 | Updated: 2022-11-30
Blockchain Meets AI for Resilient and Intelligent Internet of Vehicles
Authors: Pranav Kumar Singh, Sukumar Nandi, Sunit K. Nandi, Uttam Ghosh, Danda B. Rawat | Published: 2021-12-28
Differentially-Private Sublinear-Time Clustering
Authors: Jeremiah Blocki, Elena Grigorescu, Tamalika Mukherjee | Published: 2021-12-27