Robust Quantity-Aware Aggregation for Federated Learning
Authors: Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie | Published: 2022-05-22 | Updated: 2023-07-26
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification
Authors: Jungeum Kim, Xiao Wang | Published: 2022-05-20
Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness
Authors: Jiankai Jin, Olga Ohrimenko, Benjamin I. P. Rubinstein | Published: 2022-05-20 | Updated: 2024-09-09
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning
Authors: Harsh Chaudhari, Matthew Jagielski, Alina Oprea | Published: 2022-05-20 | Updated: 2022-09-08
Focused Adversarial Attacks
Authors: Thomas Cilloni, Charles Walter, Charles Fleming | Published: 2022-05-19
Differential Privacy: What is all the noise about?
Authors: Roxana Danger | Published: 2022-05-19
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection
Authors: Dominik Kus, Eric Wagner, Jan Pennekamp, Konrad Wolsing, Ina Berenice Fink, Markus Dahlmanns, Klaus Wehrle, Martin Henze | Published: 2022-05-18
Adaptive Hybrid Heterogeneous IDS for 6LoWPAN
Authors: Aryan Mohammadi Pasikhani, John A Clark, Prosanta Gope | Published: 2022-05-18
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution
Authors: Zhixin Pan, Prabhat Mishra | Published: 2022-05-18
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
Authors: Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova | Published: 2022-05-18