Recent work into quantifying the impact of attacks on control systems has motivated the design of worst-case attacks that define the envelope of the attack ...
PDF | On Aug 23, 2022, David Umsonst and others published Practical Detectors to Identify Worst-Case Attacks | Find, read and cite all the research you need ...
Throughout, we target the fact that worst-case attacks tend to have specific structure that exploits the features of current detectors. Recent work in anomaly ...
Often, DEEP classifiers are considered to perform worse than SUP on tabular data (Shwartz-Ziv and Armon, 2022; Gorishniy et al., 2021). Last, META-SUP and META- ...
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Jan 30, 2024 · Identifying the 'worst-case attacks' provides valuable insights for the design of mitigation and detection schemes. To identify these attacks, ...
We provide a convex optimization approach to estimate the worst-case impact of an attack with an infinity norm-based objective. All stages are evaluated in an ...
This paper models the terrorist threat as worst-case failure, and formulates a tri-level mathematical model to assess and mitigate the worst-case vulnerability ...
The. White Box approach specifies the worst-case possibility which ap- plies ... the impact of undetected attacks but is worse in terms of false alarm.
Regarding the quality of adversarial detection, LiBRe also bypasses the competitive baselines, especially in the worst case. These results prove the ...
If it is worse, then a move is made to it only with certain probability. This probability decreases with the degree to which the possible successor state is ...