Surprises in adversarially-trained linear regression
Authors: Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön | Published: 2022-05-25 | Updated: 2022-10-20
Towards a Fair Comparison and Realistic Evaluation Framework of Android Malware Detectors based on Static Analysis and Machine Learning
Authors: Borja Molina-Coronado, Usue Mori, Alexander Mendiburu, Jose Miguel-Alonso | Published: 2022-05-25 | Updated: 2022-10-06
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning
Authors: Yunhao Yang, Parham Gohari, Ufuk Topcu | Published: 2022-05-25
Differentially Private AUC Computation in Vertical Federated Learning
Authors: Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang | Published: 2022-05-24
Toxicity Detection with Generative Prompt-based Inference
Authors: Yau-Shian Wang, Yingshan Chang | Published: 2022-05-24
Fast & Furious: Modelling Malware Detection as Evolving Data Streams
Authors: Fabrício Ceschin, Marcus Botacin, Heitor Murilo Gomes, Felipe Pinagé, Luiz S. Oliveira, André Grégio | Published: 2022-05-24 | Updated: 2022-08-16
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling
Authors: Mitch Hill, Jonathan Mitchell, Chu Chen, Yuan Du, Mubarak Shah, Song-Chun Zhu | Published: 2022-05-24
Process Mining Algorithm for Online Intrusion Detection System
Authors: Yinzheng Zhong, John Y. Goulermas, Alexei Lisitsa | Published: 2022-05-24
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning
Authors: Sikha Pentyala, Nicola Neophytou, Anderson Nascimento, Martine De Cock, Golnoosh Farnadi | Published: 2022-05-23 | Updated: 2022-08-26
FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing
Authors: Helio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia C. Fernandes | Published: 2022-05-23