Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection
Authors: João Vitorino, Nuno Oliveira, Isabel Praça | Published: 2022-03-08 | Updated: 2022-03-29
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LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data
Authors: Lianlian Jiang, Yuexuan Wang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo | Published: 2022-03-08
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation
Authors: Xiaogeng Liu, Haoyu Wang, Yechao Zhang, Fangzhou Wu, Shengshan Hu | Published: 2022-03-08
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
Authors: Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli | Published: 2022-03-07 | Updated: 2025-01-15
Vulnerability Detection in Open Source Software: An Introduction
Authors: Stuart Millar | Published: 2022-03-06
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
Authors: Maya Kapoor, Joshua Melton, Michael Ridenhour, Mahalavanya Sriram, Thomas Moyer, Siddharth Krishnan | Published: 2022-03-05
Mobile authentication of copy detection patterns
Authors: Olga Taran, Joakim Tutt, Taras Holotyak, Roman Chaban, Slavi Bonev, Slava Voloshynovskiy | Published: 2022-03-04 | Updated: 2022-05-18
Training language models to follow instructions with human feedback
Authors: Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, Ryan Lowe | Published: 2022-03-04
Adversarial Patterns: Building Robust Android Malware Classifiers
Authors: Dipkamal Bhusal, Nidhi Rastogi | Published: 2022-03-04 | Updated: 2024-04-12
Dynamic Backdoors with Global Average Pooling
Authors: Stefanos Koffas, Stjepan Picek, Mauro Conti | Published: 2022-03-04