Thomas T. C. K. Zhang
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View article: Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation
Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation Open
While $\mathcal{H}_\infty$ methods can introduce robustness against worst-case perturbations, their nominal performance under conventional stochastic disturbances is often drastically reduced. Though this fundamental tradeoff between nomin…
View article: Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control
Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control Open
While $\mathcal{H}_\infty$ methods can introduce robustness against worst-case perturbations, their nominal performance under conventional stochastic disturbances is often drastically reduced. Though this fundamental tradeoff between nomin…
View article: Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation.
Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation. Open
Adversarially robust training has been shown to reduce the susceptibility of learned models to targeted input data perturbations. However, it has also been observed that such adversarially robust models suffer a degradation in accuracy whe…
View article: Adversarial Tradeoffs in Robust State Estimation
Adversarial Tradeoffs in Robust State Estimation Open
Adversarially robust training has been shown to reduce the susceptibility of learned models to targeted input data perturbations. However, it has also been observed that such adversarially robust models suffer a degradation in accuracy whe…