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Found 4 papers, 0 papers with code
Certified Federated Adversarial Training
We model an attacker who poisons the model to insert a weakness into the adversarial training such that the model displays apparent adversarial robustness, while the attacker can exploit the inserted weakness to bypass the adversarial training and force the model to misclassify adversarial examples.
Fault Tree Analysis: Identifying Maximum Probability Minimal Cut Sets with MaxSAT
In this paper, we present a novel MaxSAT-based technique to compute Maximum Probability Minimal Cut Sets (MPMCSs) in fault trees.
Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems
In the continuous data domain our attack successfully hides the cyber-physical attacks requiring 2. 87 out of 12 monitored sensors to be compromised on average.
Deep Latent Defence
The level of perturbation an attacker needs to introduce in order to cause such a misclassification can be extremely small, and often imperceptible.
