H
Hamza Fawzi
Researcher at University of Cambridge
Publications - 69
Citations - 2469
Hamza Fawzi is an academic researcher from University of Cambridge. The author has contributed to research in topics: Semidefinite programming & Positive-definite matrix. The author has an hindex of 17, co-authored 59 publications receiving 1997 citations. Previous affiliations of Hamza Fawzi include University of California, Los Angeles & Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks
TL;DR: A new simple characterization of the maximum number of attacks that can be detected and corrected as a function of the pair (A,C) of the system is given and it is shown that it is impossible to accurately reconstruct the state of a system if more than half the sensors are attacked.
Proceedings Article
Adversarial vulnerability for any classifier
TL;DR: This paper derives fundamental upper bounds on the robustness to perturbation of any classification function, and proves the existence of adversarial perturbations that transfer well across different classifiers with small risk.
Proceedings ArticleDOI
Secure state-estimation for dynamical systems under active adversaries
TL;DR: This work describes the number of attacked sensors that can be tolerated so that the state of the system can still be correctly recovered by any decoding algorithm, and proposes a specific computationally feasible decoding algorithm that allows to correct a large number of errors.
Journal ArticleDOI
Positive semidefinite rank
TL;DR: The positive semidefinite rank (psd rank) as discussed by the authors is the smallest integer k for which there exist polyhedra of size k = 1 such that the polyhedron is polyhedrically connected with the rank of k. The psd rank has many appealing geometric interpretations, including semidefinite representations of polyhedras and information-theoretic applications.
Proceedings ArticleDOI
Security for control systems under sensor and actuator attacks
TL;DR: It is shown that it is possible to increase the resilience of the system to attacks by changing the dynamics of theSystem using state-feedback while having (almost) total freedom in placing the new poles of the System.