Universal adversarial perturbations for multiple classification tasks with quantum classifiers
Authors: Yun-Zhong Qiu | Published: 2023-06-21 | Updated: 2023-10-25
Optimization Methods
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Authors: Alexander Robey, Fabian Latorre, George J. Pappas, Hamed Hassani, Volkan Cevher | Published: 2023-06-19 | Updated: 2024-03-18
Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
Authors: Hang Liu, Jia Yan, Ying-Jun Angela Zhang | Published: 2023-06-19 | Updated: 2023-12-25
(Local) Differential Privacy has NO Disparate Impact on Fairness
Authors: Héber H. Arcolezi, Karima Makhlouf, Catuscia Palamidessi | Published: 2023-04-25 | Updated: 2023-08-01
QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model
Authors: Zhepeng Wang, Jinyang Li, Zhirui Hu, Blake Gage, Elizabeth Iwasawa, Weiwen Jiang | Published: 2023-04-23 | Updated: 2023-10-13
Balancing Privacy and Performance for Private Federated Learning Algorithms
Authors: Xiangjian Hou, Sarit Khirirat, Mohammad Yaqub, Samuel Horvath | Published: 2023-04-11 | Updated: 2023-08-18
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
Authors: Meyer Scetbon, Elvis Dohmatob | Published: 2023-01-31
Enhancement attacks in biomedical machine learning
Authors: Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost | Published: 2023-01-05 | Updated: 2023-08-16
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
Ranking Differential Privacy
Authors: Shirong Xu, Will Wei Sun, Guang Cheng | Published: 2023-01-02