Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability
Authors: Marco Alecci, Mauro Conti, Francesco Marchiori, Luca Martinelli, Luca Pajola | Published: 2023-06-27
[Re] Double Sampling Randomized Smoothing
Authors: Aryan Gupta, Sarthak Gupta, Abhay Kumar, Harsh Dugar | Published: 2023-06-27
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods
Authors: Yuanyuan Wei, Julian Jang-Jaccard, Amardeep Singh, Fariza Sabrina, Seyit Camtepe | Published: 2023-06-27
Optimal Differentially Private Model Training with Public Data
Authors: Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn | Published: 2023-06-26 | Updated: 2024-09-09
Towards Sybil Resilience in Decentralized Learning
Authors: Thomas Werthenbach, Johan Pouwelse | Published: 2023-06-26
Are aligned neural networks adversarially aligned?
Authors: Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Irena Gao, Anas Awadalla, Pang Wei Koh, Daphne Ippolito, Katherine Lee, Florian Tramer, Ludwig Schmidt | Published: 2023-06-26 | Updated: 2024-05-06
Private Federated Learning in Gboard
Authors: Yuanbo Zhang, Daniel Ramage, Zheng Xu, Yanxiang Zhang, Shumin Zhai, Peter Kairouz | Published: 2023-06-26
On the Resilience of Machine Learning-Based IDS for Automotive Networks
Authors: Ivo Zenden, Han Wang, Alfonso Iacovazzi, Arash Vahidi, Rolf Blom, Shahid Raza | Published: 2023-06-26
Ensemble of Random and Isolation Forests for Graph-Based Intrusion Detection in Containers
Authors: Alfonso Iacovazzi, Shahid Raza | Published: 2023-06-26
PWSHAP: A Path-Wise Explanation Model for Targeted Variables
Authors: Lucile Ter-Minassian, Oscar Clivio, Karla Diaz-Ordaz, Robin J. Evans, Chris Holmes | Published: 2023-06-26