MLSMM: Machine Learning Security Maturity Model
Authors: Felix Jedrzejewski, Davide Fucci, Oleksandr Adamov | Published: 2023-06-28
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Can Twitter be used to Acquire Reliable Alerts against Novel Cyber Attacks?
Authors: Dincy R Arikkat, Vinod P., Rafidha Rehiman K. A., Andrea Di Sorbo, Corrado A. Visaggio, Mauro Conti | Published: 2023-06-28
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
Authors: Niklas Risse, Marcel Böhme | Published: 2023-06-28 | Updated: 2024-06-06
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile
Authors: Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa | Published: 2023-06-27
Developing and Deploying Security Applications for In-Vehicle Networks
Authors: Samuel C Hollifield, Pablo Moriano, William L Lambert, Joel Asiamah, Isaac Sikkema, Michael D Iannacone | Published: 2023-06-27
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