Differentially Private Collaborative Intrusion Detection Systems For VANETs
Authors: Tao Zhang, Quanyan Zhu | Published: 2020-05-02
Privacy Assessment
Differentially Private Federated Learning with Laplacian Smoothing
Authors: Zhicong Liang, Bao Wang, Quanquan Gu, Stanley Osher, Yuan Yao | Published: 2020-05-01 | Updated: 2021-09-10
Wide-AdGraph: Detecting Ad Trackers with a Wide Dependency Chain Graph
Authors: Amir Hossein Kargaran, Mohammad Sadegh Akhondzadeh, Mohammad Reza Heidarpour, Mohammad Hossein Manshaei, Kave Salamatian, Masoud Nejad Sattary | Published: 2020-04-29 | Updated: 2021-05-10
Privacy-Preserving Gradient Boosting Decision Trees
Authors: Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He | Published: 2019-11-11 | Updated: 2022-10-10
Preservation of Anomalous Subgroups On Machine Learning Transformed Data
Authors: Samuel C. Maina, Reginald E. Bryant, William O. Goal, Robert-Florian Samoilescu, Kush R. Varshney, Komminist Weldemariam | Published: 2019-11-09
Certified Data Removal from Machine Learning Models
Authors: Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten | Published: 2019-11-08 | Updated: 2023-11-08
Federated Generative Privacy
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2019-10-18
Rényi Differential Privacy of the Sampled Gaussian Mechanism
Authors: Ilya Mironov, Kunal Talwar, Li Zhang | Published: 2019-08-28
AdaCliP: Adaptive Clipping for Private SGD
Authors: Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar | Published: 2019-08-20 | Updated: 2019-10-23
Disparate Vulnerability to Membership Inference Attacks
Authors: Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso | Published: 2019-06-02 | Updated: 2021-09-16