Revisiting Differentially Private Hyper-parameter Tuning
Authors: Zihang Xiang, Tianhao Wang, Chenglong Wang, Di Wang | Published: 2024-02-20 | Updated: 2024-06-04
Hyperparameter Tuning
A Training Rate and Survival Heuristic for Inference and Robustness Evaluation (TRASHFIRE)
Authors: Charles Meyers, Mohammad Reza Saleh Sedghpour, Tommy Löfstedt, Erik Elmroth | Published: 2024-01-24 | Updated: 2024-09-11
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
Authors: Rachel Redberg, Antti Koskela, Yu-Xiang Wang | Published: 2023-12-31
Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
Authors: Janvi Thakkar, Giulio Zizzo, Sergio Maffeis | Published: 2023-12-21 | Updated: 2024-01-07
Intrusion Detection System with Machine Learning and Multiple Datasets
Authors: Haiyan Xuan, Mohith Manohar | Published: 2023-12-04
Classifying World War II Era Ciphers with Machine Learning
Authors: Brooke Dalton, Mark Stamp | Published: 2023-07-02 | Updated: 2023-08-30
“Private Prediction Strikes Back!” Private Kernelized Nearest Neighbors with Individual Renyi Filter
Authors: Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang | Published: 2023-06-12
Network Cascade Vulnerability using Constrained Bayesian Optimization
Authors: Albert Lam, Mihai Anitescu, Anirudh Subramanyam | Published: 2023-04-27 | Updated: 2023-10-05
Automated Machine Learning for Deep Learning based Malware Detection
Authors: Austin Brown, Maanak Gupta, Mahmoud Abdelsalam | Published: 2023-03-03 | Updated: 2023-11-03
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
Authors: Eugene Bagdasaryan, Vitaly Shmatikov | Published: 2023-02-09 | Updated: 2023-12-19